@proceedings {7110,
	title = {The Algebraic Path Problem for Graph Metrics},
	volume = {162},
	year = {2022},
	pages = {19178-19204},
	author = {Fita , E and Damrich, S. and Hamprecht, F A}
}
@phdthesis {7109,
	title = {Discovering Structure without Labels},
	year = {2022},
	author = {Damrich, S}
}
@article {7049,
	title = {Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder},
	journal = {Bioinformatics},
	volume = {38 (Suppl 1)},
	number = { arXiv:2102.05892},
	year = {2022},
	pages = {i316-i324},
	publisher = {arXiv preprint},
	doi = {10.1093/bioinformatics/btac249 },
	author = {Garrido, Q and Damrich, S and J{\"a}ger, A and Cerletti, D and Claassen, M and Najman, L and Hamprecht, F A}
}
@article {7080,
	title = {Assignment Flow For Order-Constrained OCT Segmentation},
	journal = {Int J Computer Vision},
	volume = {129},
	year = {2021},
	chapter = {3088-3118},
	author = {Sitenko, D and Boll, B and Schn{\"o}rr, C}
}
@proceedings {7078,
	title = {Assignment Flows and Nonlocal PDEs on Graphs},
	year = {2021},
	author = {Sitenko, D and Boll, B and Schn{\"o}rr, C}
}
@proceedings {7079,
	title = {Assignment Flows and Nonlocal PDEs on Graphs},
	year = {2021},
	author = {Gonzalez-Alvarado, D and Zeilmann, A and Schn{\"o}rr, C}
}
@phdthesis {7074,
	title = {Bayesian Neural Networks for Probabilistic Machine Learning},
	year = {2021},
	publisher = {Heidelberg University},
	author = {Hau{\ss}mann, M}
}
@proceedings {7044,
	title = {Behavior-Driven Synthesis of Human Dynamics},
	year = {2021},
	url = {https://arxiv.org/abs/2103.04677},
	author = {Andreas Blattmann and Timo Milbich and Michael Dorkenwald and Bj{\"o}rn Ommer}
}
@article {7071,
	title = {Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning},
	year = {2021},
	url = {https://arxiv.org/abs/2107.09562},
	author = {Timo Milbich and Karsten Roth and Samarth Sinha and Ludwig Schmidt and Marzyeh Ghassemi and Bj{\"o}rn Ommer}
}
@mastersthesis {7075,
	title = {Deep k-segments: a generalization of k-means},
	year = {2021},
	school = {Heidelberg University},
	author = {Ruiz, A}
}
@phdthesis {7066,
	title = {Deep Learning for Graph-Based Image Instance Segmentation},
	year = {2021},
	publisher = {Heidelberg University},
	author = {Bailoni, A}
}
@article {7032,
	title = {A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule},
	journal = {eLife},
	year = {2021},
	doi = {10.7554/eLife.63262},
	author = {Vijayan, A. and Tofanelli, R and Strauss, S and Cerrone, L and Wolny, A and Strohmeier, J and Kreshuk, A and Fred A. Hamprecht and Smith, R S and Schneitz, K}
}
@proceedings {7084,
	title = {Directed Probabilistic Watershed},
	volume = {34},
	year = {2021},
	author = {Fita, E and Damrich, S and Hamprecht, FA}
}
@unpublished {7061,
	title = {Evidential Turing Processes},
	number = {https://arxiv.org/abs/2106.01216},
	year = {2021},
	publisher = {arXiv preprint},
	url = {https://arxiv.org/abs/2106.01216},
	author = {Kandemir, M and Agk{\"u}l, A and Hau{\ss}mann, M and {\"U}nal, G}
}
@proceedings {7087,
	title = {Extensions of Karger{\textquoteright}s Algorithm: Why They Fail in Theory and How They Are Useful in Practice},
	year = {2021},
	pages = {4602-4611},
	author = {Jenner, E and Fita, E and Hamprecht, FA}
}
@conference {7067,
	title = {Geometry-Free View Synthesis: Transformers and no 3D Priors},
	booktitle = {Proceedings of the Intl. Conf. on Computer Vision (ICCV)},
	year = {2021},
	url = {https://arxiv.org/abs/2104.07652},
	author = {Robin Rombach and Patrick Esser and Bj{\"o}rn Ommer}
}
@conference {7054,
	title = {High-Resolution Complex Scene Synthesis with Transformers},
	booktitle = {CVPR 2021, AI for Content Creation Workshop},
	year = {2021},
	abstract = {The use of coarse-grained layouts for controllable synthesis of complex scene images via deep generative models has recently gained popularity. However, results of current approaches still fall short of their promise of high-resolution synthesis. We hypothesize that this is mostly due to the highly engineered nature of these approaches which often rely on auxiliary losses and intermediate steps such as mask generators. In this note, we present an orthogonal approach to this task, where the generative model is based on pure likelihood training without additional objectives. To do so, we first optimize a powerful compression model with adversarial training which learns to reconstruct its inputs via a discrete latent bottleneck and thereby effectively strips the latent representation of high-frequency details such as texture. Subsequently, we train an autoregressive transformer model to learn the distribution of the discrete image representations conditioned on a tokenized version of the layouts. Our experiments show that the resulting system is able to synthesize high-quality images consistent with the given layouts. In particular, we improve the state-of-the-art FID score on COCO-Stuff and on Visual Genome by up to 19\% and 53\% and demonstrate the synthesis of images up to 512 x 512 px on COCO and Open Images.},
	author = {Manuel Jahn and Robin Rombach and Bj{\"o}rn Ommer}
}
@proceedings {7070,
	title = {ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis},
	year = {2021},
	url = {https://arxiv.org/abs/2108.08827},
	author = {Patrick Esser and Robin Rombach and Andreas Blattmann and Bj{\"o}rn Ommer}
}
@article {7073,
	title = {Improving Deep Metric Learning by Divide and Conquer},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
	year = {2021},
	abstract = {Deep metric learning (DML) is a cornerstone of many computer vision applications. It aims at learning a mapping from the input domain to an embedding space, where semantically similar objects are located nearby and dissimilar objects far from another. The target similarity on the training data is defined by user in form of ground-truth class labels. However, while the embedding space learns to mimic the user-provided similarity on the training data, it should also generalize to novel categories not seen during training. Besides user-provided groundtruth training labels, a lot of additional visual factors (such as viewpoint changes or shape peculiarities) exist and imply different notions of similarity between objects, affecting the generalization on the images unseen during training. However, existing approaches usually directly learn a single embedding space on all available training data, struggling to encode all different types of relationships, and do not generalize well. We propose to build a more expressive representation by jointly splitting the embedding space and the data hierarchically into smaller sub-parts. We successively focus on smaller subsets of the training data, reducing its variance and learning a different embedding subspace for each data subset. Moreover, the subspaces are learned jointly to cover not only the intricacies, but the breadth of the data as well. Only after that, we build the final embedding from the subspaces in the conquering stage. The proposed algorithm acts as a transparent wrapper that can be placed around arbitrary existing DML methods. Our approach significantly improves upon the state-of-the-art on image retrieval, clustering, and re-identification tasks evaluated using CUB200-2011, CARS196, Stanford Online Products, In-shop Clothes, and PKU VehicleID datasets.},
	url = {https://arxiv.org/abs/2109.04003},
	author = {Sanakoyeu, Artsiom and Pingchuan Ma and Tschernezki, V. and Bj{\"o}rn Ommer}
}
@article {7086,
	title = {Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana},
	journal = {Plant and Cell Physiology},
	volume = {62},
	year = {2021},
	pages = {1269-1279},
	doi = {10.1093/pcp/pcab038},
	author = {Sch{\"u}tz, LM and Louveaux, M and Vilches-Barro, A and Bouziri, S and Cerrone, L and Wolny, A and Kreshuk, A and Hamprecht, FA and Maizel, A}
}
@conference {7068,
	title = {iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis},
	booktitle = {Proceedings of the International Conference on Computer Vision (ICCV)},
	year = {2021},
	url = {https://arxiv.org/abs/2107.02790},
	author = {Andreas Blattmann and Timo Milbich and Michael Dorkenwald and Bj{\"o}rn Ommer}
}
@techreport {7050,
	title = {ISTDECO: In Situ Transcriptomics Decoding by Deconvolution},
	year = {2021},
	institution = {bioRxiv},
	author = {Andersson, A and Diego, F and Hamprecht, F A and W{\"a}hlby, C}
}
@conference {6992,
	title = {Learning Multi-Scale Photo Exposure Correction},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2021},
	url = {https://arxiv.org/abs/2003.11596},
	author = {Mahmoud Afifi and Konstantinos G Derpanis and Bj{\"o}rn Ommer and Michael S Brown}
}
@proceedings {7060,
	title = {Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes},
	volume = {PMLR 130},
	year = {2021},
	pages = {478-486},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Look, A and Rakitsch, B and Kandemir, M}
}
@article {7022,
	title = {Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera},
	journal = {BioEssays},
	volume = {43},
	year = {2021},
	doi = {10.1002/bies.202000257},
	author = {Pape, C and Remme, R and Wolny, A and Olberg, S and Wolf, S and Cerrone, L and Cortese, M and Klaus, S and Lucic, B and Ullrich, S and Anders-{\"O}sswein, M and Wolf, S and Cerikan, B and Neufeldt, C J and Ganter, M and Schnitzler, P and Merle, U and Lusic, M and Boulant, S and Stanifer, M and Bartenschlager, R and Hamprecht, F A and Kreshuk, A and Tischer, C and Kr{\"a}usslich, H.-G. and M{\"u}ller, B and Laketa, V}
}
@proceedings {7033,
	title = {MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons},
	year = {2021},
	pages = {295-298},
	doi = {10.1109/ISBI48211.2021.9433769},
	author = {Walter, F C and Damrich, S and Hamprecht, FA}
}
@proceedings {7041,
	title = {Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes},
	year = {2021},
	abstract = {There have been many successful implementations of
neural style transfer in recent years. In most of these works,
the stylization process is confined to the pixel domain. How-
ever, we argue that this representation is unnatural because
paintings usually consist of brushstrokes rather than pixels.
We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce
a simple differentiable rendering mechanism.
Our approach significantly improves visual quality and en-
ables additional control over the stylization process such as
controlling the flow of brushstrokes through user input.
We provide qualitative and quantitative evaluations that
show the efficacy of the proposed parameterized representation.},
	url = {https://compvis.github.io/brushstroke-parameterized-style-transfer/},
	author = {Dmytro Kotovenko and Matthias Wright and Arthur Heimbrecht and Bj{\"o}rn Ommer}
}
@proceedings {7051,
	title = {S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning},
	year = {2021},
	url = {https://arxiv.org/abs/2009.08348},
	author = {Karsten Roth and Timo Milbich and Bj{\"o}rn Ommer and Joseph Paul Cohen and Marzyeh Ghassemi}
}
@phdthesis {7065,
	title = {Scalable Instance Segmentation for Microscopy},
	year = {2021},
	publisher = {Heidelberg University},
	type = {PhD Thesis},
	author = {Pape, C}
}
@unpublished {7088,
	title = {Seipin forms a flexible cage at lipid droplet formation sites},
	year = {2021},
	publisher = {bioRxiv},
	doi = {10.1101/2021.08.05.45527},
	author = {Arlt, H and Sui, X and Folger, B and Adams, C and Chen, X and Remme, R and Hamprecht, FA and DiMaio, F and Liao, M and Goodman, JM and Farese, RV and Walther, TC}
}
@proceedings {7031,
	title = {Shape or Texture: Understanding Discriminative Features in CNNs},
	year = {2021},
	author = {Md Amirul Islam and Matthew Kowal and Patrick Esser and Sen Jia and Bj{\"o}rn Ommer and Konstantinos G Derpanis and Neil Bruce}
}
@proceedings {7053,
	title = {Stochastic Image-to-Video Synthesis usin cINNs},
	year = {2021},
	author = {Michael Dorkenwald and Timo Milbich and Andreas Blattmann and Robin Rombach and Konstantinos G. Derpanis and Bj{\"o}rn Ommer}
}
@proceedings {7028,
	title = {Taming Transformers for High-Resolution Image Synthesis},
	year = {2021},
	url = {https://arxiv.org/abs/2012.09841},
	author = {Patrick Esser and Robin Rombach and Bj{\"o}rn Ommer}
}
@article {7072,
	title = {Transforming Information Into Knowledge: How Computational Methods Reshape Art History},
	journal = {Digital Humanities Quaterly (DHQ)},
	volume = {15},
	year = {2021},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {7076,
	title = {Transforming Information Into Knowledge: How Computational Methods Reshape Art History},
	journal = {Digital Humanities Quaterly (DHQ)},
	volume = {15},
	year = {2021},
	url = {http://digitalhumanities.org/dhq/vol/15/3/000560/000560.html},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {7048,
	title = {UMAP does not reproduce high-dimensional similarities due to negative sampling},
	number = {arXiv:2103.14608},
	year = {2021},
	publisher = {arXiv preprint},
	author = {Damrich, S and Hamprecht, F.H.}
}
@proceedings {7085,
	title = {On UMAP{\textquoteright}s True Loss Function},
	volume = {34},
	year = {2021},
	author = {Damrich, S and Hamprecht, FA}
}
@unpublished {7062,
	title = {Understanding Event-Generation Networks via Uncertainties},
	year = {2021},
	publisher = {arXiv preprint},
	url = {https://arxiv.org/abs/2104.04543v1},
	author = {Bellagente, M and Hau{\ss}mann, M and Luchmann, M and Plehn, T}
}
@proceedings {7063,
	title = {Understanding Object Dynamics for Interactive Image-to-Video Synthesis},
	year = {2021},
	abstract = {What would be the effect of locally poking a static scene? We present an approach that learns naturally-looking global articulations caused by a local manipulation at a pixel level. Training requires only videos of moving objects but no information of the underlying manipulation of the physical scene. Our generative model learns to infer natural object dynamics as a response to user interaction and learns about the interrelations between different object body regions. Given a static image of an object and a local poking of a pixel, the approach then predicts how the object would deform over time. In contrast to existing work on video prediction, we do not synthesize arbitrary realistic videos but enable local interactive control of the deformation. Our model is not restricted to particular object categories and can transfer dynamics onto novel unseen object instances. Extensive experiments on diverse objects demonstrate the effectiveness of our approach compared to common video prediction frameworks.},
	url = {https://arxiv.org/abs/2106.11303v1},
	author = {Andreas Blattmann and Timo Milbich and Michael Dorkenwald and Bj{\"o}rn Ommer}
}
@article {7045,
	title = {Unsupervised behaviour analysis and magnification (uBAM) using deep learning},
	journal = {Nature Machine Intelligence},
	year = {2021},
	abstract = {Motor behaviour analysis is essential to biomedical research and clinical diagnostics as it provides a non-invasive strategy for identifying motor impairment and its change caused by interventions. State-of-the-art instrumented movement analysis is time- and cost-intensive, because it requires the placement of physical or virtual markers. As well as the effort required for marking the keypoints or annotations necessary for training or fine-tuning a detector, users need to know the interesting behaviour beforehand to provide meaningful keypoints. Here, we introduce unsupervised behaviour analysis and magnification (uBAM), an automatic deep learning algorithm for analysing behaviour by discovering and magnifying deviations. A central aspect is unsupervised learning of posture and behaviour representations to enable an objective comparison of movement. Besides discovering and quantifying deviations in behaviour, we also propose a generative model for visually magnifying subtle behaviour differences directly in a video without requiring a detour via keypoints or annotations. Essential for this magnification of deviations, even across different individuals, is a disentangling of appearance and behaviour. Evaluations on rodents and human patients with neurological diseases demonstrate the wide applicability of our approach. Moreover, combining optogenetic stimulation with our unsupervised behaviour analysis shows its suitability as a non-invasive diagnostic tool correlating function to brain plasticity.},
	doi = {https://doi.org/10.1038/s42256-021-00326-x},
	url = {https://rdcu.be/ch6pL},
	author = {Biagio Brattoli and Uta B{\"u}chler and Michael Dorkenwald and Philipp Reiser and Linard Filli and Fritjof Helmchen and Anna-Sophia Wahl and Bj{\"o}rn Ommer}
}
@article {7090,
	title = {Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution},
	journal = {eLife},
	volume = {9},
	year = {2020},
	doi = {10.7554/eLife.57613},
	author = {Wolny, A and Cerrone, L and Vijayan, A and Tofanelli, R and Vilches-Barro, A and Louveaux, M and Wenzel, C and Strauss, S and Wilson-Sanchez, D and Lymbouridou, R and Steigleder, SS and Pape, C and Bailoni, A and Duran-Nebreda, S and Bassel, GW and Lohmann, JU and Tsiantis, M and Hamprecht, FA and Schneitz, K and Maizel, A and Kreshuk, A}
}
@article {Krull2020,
	title = {Artificial-intelligence-driven scanning probe microscopy},
	journal = {Communications Physics},
	volume = {3},
	year = {2020},
	abstract = {Scanning probe microscopy (SPM) has revolutionized the fields of materials, nano-science, chemistry, and biology, by enabling mapping of surface properties and surface manipulation with atomic precision. However, these achievements require constant human supervision; fully automated SPM has not been accomplished yet. Here we demonstrate an artificial intelligence framework based on machine learning for autonomous SPM operation (DeepSPM). DeepSPM includes an algorithmic search of good sample regions, a convolutional neural network to assess the quality of acquired images, and a deep reinforcement learning agent to reliably condition the state of the probe. DeepSPM is able to acquire and classify data continuously in multi-day scanning tunneling microscopy experiments, managing the probe quality in response to varying experimental conditions. Our approach paves the way for advanced methods hardly feasible by human operation (e.g., large dataset acquisition and SPM-based nanolithography). DeepSPM can be generalized to most SPM techniques, with the source code publicly available.},
	issn = {23993650},
	doi = {10.1038/s42005-020-0317-3},
	author = {Krull, A. and Hirsch, P. and Rother, C. and Schiffrin, A. and Krull, C.}
}
@incollection {Schnorr:2019aa,
	title = {Assignment Flows},
	year = {2020},
	pages = {235{\textemdash}260},
	publisher = {Springer},
	url = {https://www.springer.com/gp/book/9783030313500},
	author = {Schn{\"o}rr, C.},
	editor = {Grohs, P. and Holler, M. and Weinmann, A.}
}
@article {Zern:2020aa,
	title = {Assignment Flows for Data Labeling on Graphs: Convergence and Stability},
	journal = {preprint: arXiv},
	year = {2020},
	url = {https://arxiv.org/abs/2002.11571},
	author = {Zern, A. and Zeilmann, A. and Schn{\"o}rr, C.}
}
@conference {Radev2020,
	title = {BayesFlow: Learning complex stochastic models with invertible neural networks},
	year = {2020},
	abstract = {Estimating the parameters of mathematical models is a common problem in almost all branches of science. However, this problem can prove notably difficult when processes and model descriptions become increasingly complex and an explicit likelihood function is not available. With this work, we propose a novel method for globally amortized Bayesian inference based on invertible neural networks which we call BayesFlow. The method uses simulation to learn a global estimator for the probabilistic mapping from observed data to underlying model parameters. A neural network pre-trained in this way can then, without additional training or optimization, infer full posteriors on arbitrary many real data sets involving the same model family. In addition, our method incorporates a summary network trained to embed the observed data into maximally informative summary statistics. Learning summary statistics from data makes the method applicable to modeling scenarios where standard inference techniques with hand-crafted summary statistics fail. We demonstrate the utility of BayesFlow on challenging intractable models from population dynamics, epidemiology, cognitive science and ecology. We argue that BayesFlow provides a general framework for building reusable Bayesian parameter estimation machines for any process model from which data can be simulated.},
	url = {http://arxiv.org/abs/2003.06281},
	author = {Radev, Stefan T. and Mertens, Ulf K. and Voss, Andreass and Lynton Ardizzone and K{\"o}the, Ullrich}
}
@proceedings {7059,
	title = {Bayesian Evidential Deep Learning with PAC Regularization },
	year = {2020},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Kandemir, M}
}
@conference {Kamann2019,
	title = {Benchmarking the Robustness of Semantic Segmentation Models},
	booktitle = {CVPR 2020},
	year = {2020},
	abstract = {When designing a semantic segmentation module for a practical application, such as autonomous driving, it is crucial to understand the robustness of the module with respect to a wide range of image corruptions. While there are recent robustness studies for full-image classification, we are the first to present an exhaustive study for semantic segmentation, based on the state-of-the-art model DeepLabv3\$+\$. To increase the realism of our study, we utilize almost 200,000 images generated from Cityscapes and PASCAL VOC 2012, and we furthermore present a realistic noise model, imitating HDR camera noise. Based on the benchmark study we gain several new insights. Firstly, model robustness increases with model performance, in most cases. Secondly, some architecture properties affect robustness significantly, such as a Dense Prediction Cell which was designed to maximize performance on clean data only. Thirdly, to achieve good generalization with respect to various types of image noise, it is recommended to train DeepLabv3+ with our realistic noise model.},
	url = {http://arxiv.org/abs/1908.05005},
	author = {Kamann, Christoph and Rother, Carsten}
}
@conference {Kluger2020,
	title = {CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus},
	booktitle = {CVPR 2020},
	year = {2020},
	month = {01/2020},
	abstract = {We present a robust estimator for fitting multiple parametric models of the same form to noisy measurements. Applications include finding multiple vanishing points in man-made scenes, fitting planes to architectural imagery, or estimating multiple rigid motions within the same sequence. In contrast to previous works, which resorted to hand-crafted search strategies for multiple model detection, we learn the search strategy from data. A neural network conditioned on previously detected models guides a RANSAC estimator to different subsets of all measurements, thereby finding model instances one after another. We train our method supervised as well as self-supervised. For supervised training of the search strategy, we contribute a new dataset for vanishing point estimation. Leveraging this dataset, the proposed algorithm is superior with respect to other robust estimators as well as to designated vanishing point estimation algorithms. For self-supervised learning of the search, we evaluate the proposed algorithm on multi-homography estimation and demonstrate an accuracy that is superior to state-of-the-art methods.},
	url = {http://arxiv.org/abs/2001.02643},
	author = {Kluger, Florian and Brachmann, Eric and Ackermann, Hanno and Carsten Rother and Yang, Michael Ying and Rosenhahn, Bodo}
}
@proceedings {7038,
	title = {Das Objekt jenseits der Digitalisierung},
	volume = {7},
	year = {2020},
	abstract = {Der technische Fortschritt der letzten Jahrzehnte hat disruptive Ver{\"a}nderungen f{\"u}r Gesellschaft, Wirtschaft und Wissenschaft gebracht: Die Digitalisierung ist ein Resultat dessen und beeinflusst, wie wir auf Daten zugreifen, diese verarbeiten, analysieren und Ergebnisse verbreiten. Obwohl dadurch bereits ein Wandel eingeleitet worden ist, kann das Digitalisieren von Textdokumenten oder Bildern nicht das endg{\"u}ltige Ziel sein. Der Fokus aktueller Bestrebungen sollte vielmehr auf der M{\"o}glichkeit der Weiterverarbeitung von Digitalisaten liegen {\textendash} dies schlie{\ss}t eine intelligente Informationsverarbeitung ein. Der Wert der Digitalisierung besteht nicht in der blo{\ss}en Anh{\"a}ufung digitaler Sammlun- gen, sondern in der Tatsache, dass sie weitaus mehr erm{\"o}glicht als das Analoge und daf{\"u}r die notwendigen Grundvoraussetzungen schafft.
Die Problematik besteht nun darin, dass die meisten Verarbeitungs- und Analyse- methoden f{\"u}r digitale Daten noch analog oder diesen nachempfunden sind: So werden digitale Sammlungen und darin enthaltene Bilder h{\"a}ufig noch mit den eigenen Augen, in traditionell komparativer Weise betrachtet und evaluiert. Dass dies aufgrund der F{\"u}lle an Daten nicht effizient ist, muss an dieser Stelle nicht betont werden. Obwohl das ana- loge und das digitale Bild den gleichen Inhalt zeigen k{\"o}nnen, haben beide doch ganz unterschiedliche Substrate. Ein Unterschied besteht zum Beispiel darin, dass digitale Bilder im Gegensatz zu analogen einfach manipuliert und dupliziert werden k{\"o}nnen. Das Digitale ist nicht das Analoge in neuer Form, und so bedarf es genuin digitaler Methoden f{\"u}r die Verarbeitung digitaler Daten. Durch die Entwicklung computerge- st{\"u}tzter Verfahren entstehen neue M{\"o}glichkeiten, Inhalte zu erschlie{\ss}en: Dazu geh{\"o}ren Ans{\"a}tze zur Objektsuche oder das Gruppieren und Sortieren der Daten entsprechend benutzerdefinierter Dimensionen; dies schlie{\ss}t {\"u}bergeordnete Kategorien wie Stil oder Genre, aber auch nuancierte Begriffe wie Alter oder Gewichtung der Bildkomposition ein. Doch das Digitale und entsprechende Verfahren k{\"o}nnen noch weitaus mehr leisten: Generative Verfahren, wie die Bildsynthese und Stilisierung eines Bildes, erm{\"o}glichen eine Blick{\"a}nderung auf das Artefakt und schlie{\ss}lich die Modifizierung des Objekts selbst. Wie h{\"a}tte ein K{\"u}nstler eine uns sichtbare Szene gemalt und dargestellt? Und wie sieht ein Mensch in der Pose eines anderen aus? Dies sind Fragen, die durch die Anwendung com- putergest{\"u}tzter Methoden beantwortet werden k{\"o}nnen. F{\"u}r das Museum haben diese Ans{\"a}tze eine besondere Relevanz, da sie neue Arten des Betrachtens und Vermittelns von Kunstwerken oder zum Beispiel die Rekonstruktion verlorener Artefakte erlauben. In Zusammenarbeit von Mensch und Maschine entstehen so neue effektive Verfahren, die Inhalte erschlie{\ss}en, Verbindungen etablieren und neues Wissen generieren.},
	isbn = {978-3-948808-00-6},
	url = {http://www.deutsches-museum.de/fileadmin/Content/010_DM/060_Verlag/studies-7.pdf},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {7029,
	title = {Deep learning of cuneiform sign detection with weak supervision using transliteration alignment},
	journal = {PLoS ONE},
	volume = {15},
	year = {2020},
	month = {12/2020},
	type = {Journal},
	chapter = {1-21},
	abstract = {The cuneiform script provides a glimpse into our ancient history. However, reading age-old clay tablets is time-consuming and requires years of training. To simplify this process, we propose a deep-learning based sign detector that locates and classifies cuneiform signs in images of clay tablets. Deep learning requires large amounts of training data in the form of bounding boxes around cuneiform signs, which are not readily available and costly to obtain in the case of cuneiform script. To tackle this problem, we make use of existing transliterations, a sign-by-sign representation of the tablet content in Latin script. Since these do not provide sign localization, we propose a weakly supervised approach: We align tablet images with their corresponding transliterations to localize the transliterated signs in the tablet image, before using these localized signs in place of annotations to re-train the sign detector. A better sign detector in turn boosts the quality of the alignments. We combine these steps in an iterative process that enables training a cuneiform sign detector from transliterations only. While our method works weakly supervised, a small number of annotations further boost the performance of the cuneiform sign detector which we evaluate on a large collection of clay tablets from the Neo-Assyrian period. To enable experts to directly apply the sign detector in their study of cuneiform texts, we additionally provide a web application for the analysis of clay tablets with a trained cuneiform sign detector.},
	keywords = {cuneiform script, deep learning, sign detection, Weakly supervised learning},
	doi = {https://doi.org/10.1371/journal.pone.0243039},
	url = {https://hci.iwr.uni-heidelberg.de/compvis/projects/cuneiform},
	author = {Tobias Dencker and Pablo Klinkisch and Stefan M Maul and Bj{\"o}rn Ommer}
}
@article {6319,
	title = {Deep-Learning Jets with Uncertainties and More},
	journal = {SciPost Phys},
	volume = {8},
	year = {2020},
	doi = {10.21468/SciPostPhys.8.1.006 },
	url = {https://scipost.org/10.21468/SciPostPhys.8.1.006},
	author = {Bollweg, S and Manuel Hau{\ss}mann and Kasieczka, G and Luchmann, M and Plehn, T and Thompson, J}
}
@proceedings {7089,
	title = {DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging},
	year = {2020},
	pages = {151-162},
	author = {Kirschbaum, E and Bailoni, A and Hamprecht, FA}
}
@conference {Sorrenson2020,
	title = {Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)},
	booktitle = {Intl. Conf. Learning Representations (ICLR)},
	year = {2020},
	abstract = {A central question of representation learning asks under which conditions it is possible to reconstruct the true latent variables of an arbitrarily complex generative process. Recent breakthrough work by Khemakhem et al. (2019) on nonlinear ICA has answered this question for a broad class of conditional generative processes. We extend this important result in a direction relevant for application to real-world data. First, we generalize the theory to the case of unknown intrinsic problem dimension and prove that in some special (but not very restrictive) cases, informative latent variables will be automatically separated from noise by an estimating model. Furthermore, the recovered informative latent variables will be in one-to-one correspondence with the true latent variables of the generating process, up to a trivial component-wise transformation. Second, we introduce a modification of the RealNVP invertible neural network architecture (Dinh et al. (2016)) which is particularly suitable for this type of problem: the General Incompressible-flow Network (GIN). Experiments on artificial data and EMNIST demonstrate that theoretical predictions are indeed verified in practice. In particular, we provide a detailed set of exactly 22 informative latent variables extracted from EMNIST.},
	url = {http://arxiv.org/abs/2001.04872},
	author = {Sorrenson, Peter and Rother, Carsten and K{\"o}the, Ullrich}
}
@proceedings {6932,
	title = {A Disentangling Invertible Interpretation Network for Explaining Latent Representations},
	year = {2020},
	abstract = {Neural networks have greatly boosted performance in computer vision by learning powerful representations of input data. The drawback of end-to-end training for maximal overall performance are black-box models whose hidden representations are lacking interpretability: Since distributed coding is optimal for latent layers to improve their robustness, attributing meaning to parts of a hidden feature vector or to individual neurons is hindered. We formulate interpretation as a translation of hidden representations onto semantic concepts that are comprehensible to the user. The mapping between both domains has to be bijective so that semantic modifications in the target domain correctly alter the original representation. The proposed invertible interpretation network can be transparently applied on top of existing architectures with no need to modify or retrain them. Consequently, we translate an original representation to an equivalent yet interpretable one and backwards without affecting the expressiveness and performance of the original. The invertible interpretation network disentangles the hidden representation into separate, semantically meaningful concepts. Moreover, we present an efficient approach to define semantic concepts by only sketching two images and also an unsupervised strategy. Experimental evaluation demonstrates the wide applicability to interpretation of existing classification and image generation networks as well as to semantically guided image manipulation.},
	url = {https://compvis.github.io/iin/},
	author = {Patrick Esser and Robin Rombach and Bj{\"o}rn Ommer}
}
@proceedings {6934,
	title = {DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning},
	year = {2020},
	url = {https://arxiv.org/abs/2004.13458},
	author = {Timo Milbich and Karsten Roth and Homanga Bharadhwaj and Samarth Sinha and Yoshua Bengio and Bj{\"o}rn Ommer and Joseph Paul Cohen}
}
@article {6333,
	title = {End-to-End Learning of Decision Trees and Forests},
	journal = {International Journal of Computer Vision},
	volume = {128},
	year = {2020},
	pages = {997-1011},
	doi = {10.1007/s11263-019-01237-6},
	author = {Hehn, TM and Kooij, J F P and Fred A. Hamprecht}
}
@article {Ardizzone2020,
	title = {Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling},
	year = {2020},
	month = {jan},
	abstract = {Generative models are more informative about underlying phenomena than discriminative ones and offer superior uncertainty quantification and out-of-distribution robustness. However, these advantages often come at the expense of reduced classification accuracy. The Information Bottleneck objective (IB) formulates this trade-off in a clean information-theoretic way, but its practical application is hampered by a lack of accurate high-dimensional estimators of mutual information (MI), its main constituent. To overcome this limitation, we develop the theory and methodology of IB-INNs, which optimize the IB objective by means of Invertible Neural Networks (INNs), without the need for approximations of MI. Our experiments show that IB-INNs allow for a precise adjustment of the generative/discriminative trade-off: They learn accurate models of the class conditional likelihoods, generalize well to unseen data and reliably detect out-of-distribution examples, while at the same time exhibiting classification accuracy close to purely discriminative feed-forward networks.},
	url = {http://arxiv.org/abs/2001.06448},
	author = {Lynton Ardizzone and Mackowiak, Radek and Carsten Rother and Ullrich K{\"o}the}
}
@article {Zeilmann:2020aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {Inverse Problems},
	volume = {36},
	number = {3},
	year = {2020},
	pages = {034004 (33pp)},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@proceedings {7001,
	title = {Inpainting Networks Learn to Separate Cells in Microscopy Images},
	year = {2020},
	author = {Wolf, S. and Hamprecht, F A and Funke, J.}
}
@article {7092,
	title = {Instance Separation Emerges from Inpainting},
	journal = {arXiv preprint arXiv:2003.00891},
	year = {2020},
	author = {Wolf, S and Hamprecht, FA and Funke, J}
}
@phdthesis {friman2020,
	title = {Laboratory investigations of concentration and wind profiles close to the wind-driven wavy water surface},
	volume = {Dissertation},
	year = {2020},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	address = {Heidelberg},
	doi = {10.11588/heidok.00028310},
	author = {Friman, Sonja}
}
@phdthesis {6935,
	title = {Machine Learning for Instance Segmentation},
	year = {2020},
	publisher = {Heidelberg University},
	type = {PhD Thesis},
	author = {Wolf, S}
}
@proceedings {6997,
	title = {Making Sense of CNNs: Interpreting Deep Representations \& Their Invariances with INNs},
	year = {2020},
	abstract = {To tackle increasingly complex tasks, it has become an essential ability of neural networks to learn abstract representations. These task-specific representations and, particularly, the invariances they capture turn neural networks into black box models that lack interpretability. To open such a black box, it is, therefore, crucial to uncover the different semantic concepts a model has learned as well as those that it has learned to be invariant to. We present an approach based on INNs that (i) recovers the task-specific, learned invariances by disentangling the remaining factor of variation in the data and that (ii) invertibly transforms these recovered invariances combined with the model representation into an equally expressive one with accessible semantic concepts. As a consequence, neural network representations become understandable by providing the means to (i) expose their semantic meaning, (ii) semantically modify a representation, and (iii) visualize individual learned semantic concepts and invariances. Our invertible approach significantly extends the abilities to understand black box models by enabling post-hoc interpretations of state-of-the-art networks without compromising their performance.},
	url = {https://compvis.github.io/invariances/},
	author = {Robin Rombach and Patrick Esser and Bj{\"o}rn Ommer}
}
@conference {6922,
	title = {Mind the Gap {\textendash} A Benchmark for Dense Depth Prediction beyond Lidar},
	booktitle = {2nd Workshop on Safe Artificial Intelligence for Automated Driving, in conjunction with CVPR 2020},
	year = {2020},
	author = {H. Schilling and M. Gutsche and A. Brock and D. Sp{\"a}th and C. Rother and K. Krispin}
}
@article {Wolf2020,
	title = {The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {43},
	year = {2020},
	pages = {3724-3738},
	abstract = {Image partitioning, or segmentation without semantics, is the task of decomposing an image into distinct segments, or equivalently to detect closed contours. Most prior work either requires seeds, one per segment; or a threshold; or formulates the task as multicut / correlation clustering, an NP-hard problem. Here, we propose a greedy algorithm for signed graph partitioning, the "Mutex Watershed". Unlike seeded watershed, the algorithm can accommodate not only attractive but also repulsive cues, allowing it to find a previously unspecified number of segments without the need for explicit seeds or a tunable threshold. We also prove that this simple algorithm solves to global optimality an objective function that is intimately related to the multicut / correlation clustering integer linear programming formulation. The algorithm is deterministic, very simple to implement, and has empirically linearithmic complexity. When presented with short-range attractive and long-range repulsive cues from a deep neural network, the Mutex Watershed gives the best results currently known for the competitive ISBI 2012 EM segmentation benchmark.},
	doi = {10.1109/tpami.2020.2980827},
	author = {Wolf, Steffen and Bailoni, Alberto and Pape, Constantin and Rahaman, Nasim and Kreshuk, Anna and K{\"o}the, Ullrich and Hamprecht, Fred A.}
}
@conference {7012,
	title = {Network Fusion for Content Creation with Conditional INNs},
	booktitle = {CVPRW 2020 (AI for Content Creation)},
	year = {2020},
	month = {2020},
	abstract = {Artificial Intelligence for Content Creation has the potential to reduce the amount of manual content creation work significantly. While automation of laborious work is welcome, it is only useful if it allows users to control aspects of the creative process when desired. Furthermore, widespread adoption of semi-automatic content creation depends on low barriers regarding the expertise, computational budget and time required to obtain results and experiment with new techniques. With state-of-the-art approaches relying on task-specific models, multi-GPU setups and weeks of training time, we must find ways to reuse and recombine them to meet these requirements. Instead of designing and training methods for controllable content creation from scratch, we thus present a method to repurpose powerful, existing models for new tasks, even though they have never been designed for them. We formulate this problem as a translation between expert models, which includes common content creation scenarios, such as text-to-image and image-to-image translation, as a special case. As this translation is ambiguous, we learn a generative model of hidden representations of one expert conditioned on hidden representations of the other expert. Working on the level of hidden representations makes optimal use of the computational effort that went into the training of the expert model to produce these efficient, low-dimensional representations. Experiments demonstrate that our approach can translate from BERT, a state-of-the-art expert for text, to BigGAN, a state-of-the-art expert for images, to enable text-to-image generation, which neither of the experts can perform on its own. Additional experiments show the wide applicability of our approach across different conditional image synthesis tasks and improvements over existing methods for image modifications.},
	url = {https://compvis.github.io/network-fusion/},
	author = {Robin Rombach and Patrick Esser and Bj{\"o}rn Ommer}
}
@proceedings {7011,
	title = {Network-to-Network Translation with Conditional Invertible Neural Networks},
	year = {2020},
	abstract = {Combining stimuli from diverse modalities into a coherent perception is a striking feat of intelligence of evolved brains. This work seeks its analogy in deep learning models and aims to establish relations between existing networks by faithfully combining the representations of these different domains. Therefore, we seek a model that can relate between different existing representations by learning a conditionally invertible mapping between them. The network demonstrates this capability by (i) providing generic transfer between diverse domains, (ii) enabling controlled content synthesis by allowing modification in other domains, and (iii) facilitating diagnosis of existing representations by translating them into an easily accessible domain. Our domain transfer network can translate between fixed representations without having to learn or finetune them. This allows users to utilize various existing domain-specific expert models from the literature that had been trained with extensive computational resources. Experiments on diverse conditional image synthesis tasks, competitive image modification results and experiments on image-to-image and text-to-image generation demonstrate the generic applicability of our approach. In particular, we translate between BERT and BigGAN, state-of-the-art text and image models to provide text-to-image generation, which neither of both experts can perform on their own.},
	url = {https://compvis.github.io/net2net/},
	author = {Robin Rombach and Patrick Esser and Bj{\"o}rn Ommer}
}
@conference {7025,
	title = {A Note on Data Biases in Generative Models},
	booktitle = {NeurIPS 2020 Workshop on Machine Learning for Creativity and Design},
	year = {2020},
	abstract = {It is tempting to think that machines are less prone to unfairness and prejudice. However, machine learning approaches compute their outputs based on data. While biases can enter at any stage of the development pipeline, models are particularly receptive to mirror biases of the datasets they are trained on and therefore do not necessarily reflect truths about the world but, primarily, truths about the data. To raise awareness about the relationship between modern algorithms and the data that shape them, we use a conditional invertible neural network to disentangle the dataset-specific information from the information which is shared across different datasets. In this way, we can project the same image onto different datasets, thereby revealing their inherent biases. We use this methodology to (i) investigate the impact of dataset quality on the performance of generative models, (ii) show how societal biases of datasets are replicated by generative models, and (iii) present creative applications through unpaired transfer between diverse datasets such as photographs, oil portraits, and animes.},
	url = {https://arxiv.org/abs/2012.02516},
	author = {Patrick Esser and Robin Rombach and Bj{\"o}rn Ommer}
}
@proceedings {7064,
	title = {Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting},
	year = {2020},
	month = {08-2020},
	abstract = {The search for specific objects or motifs is essential to art history as both assist in decoding the meaning of artworks. Digitization has produced large art collections, but manual methods prove to be insufficient to analyze them. In the following, we introduce an algorithm that allows users to search for image regions containing specific motifs or objects and find similar regions in an extensive dataset, helping art historians to analyze large digitized art collections. Computer vision has presented efficient methods for visual instance retrieval across photographs. However, applied to art collections, they reveal severe deficiencies because of diverse motifs and massive domain shifts induced by differences in techniques, materials, and styles. In this paper, we present a multi-style feature fusion approach that successfully reduces the domain gap and improves retrieval results without labelled data or curated image collections. Our region-based voting with GPU-accelerated approximate nearest-neighbour search allows us to find and localize even small motifs within an extensive dataset in a few seconds. We obtain state-of-the-art results on the Brueghel dataset and demonstrate its generalization to inhomogeneous collections with a large number of distractors.},
	doi = {https://doi.org/10.1007/978-3-030-66096-3_12},
	author = {Nikolai Ufer and Sabine Lang and Bj{\"o}rn Ommer}
}
@conference {6386,
	title = {PADS: Policy-Adapted Sampling for Visual Similarity Learning},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	volume = {1},
	year = {2020},
	chapter = {1},
	url = {https://arxiv.org/abs/2003.11113},
	author = {Timo Milbich and Karsten Roth and Bj{\"o}rn Ommer}
}
@proceedings {Haller2020,
	title = {A Primal-Dual Solver for Large-Scale Tracking-by-Assignment},
	year = {2020},
	abstract = {We propose a fast approximate solver for the combinatorial problem known as tracking-by-assignment, which we apply to cell tracking. The latter plays a key role in discovery in many life sciences, especially in cell and developmental biology. So far, in the most general setting this problem was addressed by off-the-shelf solvers like Gurobi, whose run time and memory requirements rapidly grow with the size of the input. In contrast, for our method this growth is nearly linear. Our contribution consists of a new (1) de-composable compact representation of the problem; (2) dual block-coordinate ascent method for optimizing the decomposition-based dual; and (3) primal heuristics that reconstructs a feasible integer solution based on the dual information. Compared to solving the problem with Gurobi, we observe an up to 60 times speed-up, while reducing the memory footprint significantly. We demonstrate the efficacy of our method on real-world tracking problems.},
	author = {Stefan Haller and Prakash, Mangal and Hutschenreiter, Lisa and Pietzsch, Tobias and Carsten Rother and Jug, Florian and Swoboda, Paul and Savchynskyy, Bogdan}
}
@proceedings {7005,
	title = {Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks},
	volume = {12544},
	year = {2020},
	pages = {331-344},
	publisher = {Springer},
	edition = {LNCS},
	doi = {10.1007/978-3-030-71278-5_24},
	author = {Bailoni, A and Pape, C and Wolf, S and Kreshuk, A. and Hamprecht, F A}
}
@conference {Bhowmik2019,
	title = {Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task},
	booktitle = {CVPR 2020 (oral)},
	year = {2020},
	abstract = {We address a core problem of computer vision: Detection and description of 2D feature points for image matching. For a long time, hand-crafted designs, like the seminal SIFT algorithm, were unsurpassed in accuracy and efficiency. Recently, learned feature detectors emerged that implement detection and description using neural networks. Training these networks usually resorts to optimizing low-level matching scores, often pre-defining sets of image patches which should or should not match, or which should or should not contain key points. Unfortunately, increased accuracy for these low-level matching scores does not necessarily translate to better performance in high-level vision tasks. We propose a new training methodology which embeds the feature detector in a complete vision pipeline, and where the learnable parameters are trained in an end-to-end fashion. We overcome the discrete nature of key point selection and descriptor matching using principles from reinforcement learning. As an example, we address the task of relative pose estimation between a pair of images. We demonstrate that the accuracy of a state-of-the-art learning-based feature detector can be increased when trained for the task it is supposed to solve at test time. Our training methodology poses little restrictions on the task to learn, and works for any architecture which predicts key point heat maps, and descriptors for key point locations.},
	url = {http://arxiv.org/abs/1912.00623},
	author = {Bhowmik, Aritra and Gumhold, Stefan and Rother, Carsten and Brachmann, Eric}
}
@proceedings {6390,
	title = {Revisiting Training Strategies and Generalization Performance in Deep Metric Learning},
	year = {2020},
	url = {https://arxiv.org/pdf/2002.08473.pdf},
	author = {Karsten Roth and Timo Milbich and Samarth Sinha and Prateek Gupta and Bj{\"o}rn Ommer and Joseph Paul Cohen}
}
@conference {Cvpr2020,
	title = {Self-Supervised Viewpoint Learning From Image Collections},
	booktitle = {CONSAC},
	year = {2020},
	abstract = {Training deep neural networks to estimate the viewpoint of objects requires large labeled training datasets. However, manually labeling viewpoints is notoriously hard, error-prone, and time-consuming. On the other hand, it is relatively easy to mine many unlabelled images of an object category from the internet, e.g., of cars or faces. We seek to answer the research question of whether such un-labeled collections of in-the-wild images can be successfully utilized to train viewpoint estimation networks for general object categories purely via self-supervision. Self-supervision here refers to the fact that the only true supervisory signal that the network has is the input image itself. We propose a novel learning framework which incorporates an analysis-by-synthesis paradigm to reconstruct images in a viewpoint aware manner with a generative network, along with symmetry and adversarial constraints to successfully supervise our viewpoint estimation network. We show that our approach performs competitively to fully-supervised approaches for several object categories like human faces, cars, buses, and trains. Our work opens up further research in self-supervised viewpoint learning and serves as a robust baseline for it. We open-source our code at https://github.com/NVlabs/SSV .},
	url = {https://github.com/NVlabs/SSV},
	author = {S.K. Mustikovela and V. Jampani and S. De Mello and S. Liu and U. Iqbal and C. Rother and J. Kautz}
}
@proceedings {6990,
	title = {The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation},
	year = {2020},
	pages = {208-224},
	doi = {doi.org/10.1007/978-3-030-58539-6_13},
	author = {Wolf, S and Li, Y and Pape, C and Bailoni, A and Kreshuk, A and Hamprecht, F A}
}
@article {6389,
	title = {Sharing Matters for Generalization in Deep Metric Learning},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
	year = {2020},
	doi = {10.1109/TPAMI.2020.3009620},
	url = {https://arxiv.org/abs/2004.05582},
	author = {Timo Milbich and Karsten Roth and Biagio Brattoli and Bj{\"o}rn Ommer}
}
@incollection {jaehne2020a,
	title = {Struktur und Chaos: Kleinskalige Austauschprozesse zwischen Atmosph{\"a}re und Meer},
	volume = {5},
	year = {2020},
	pages = {133{\textendash}150},
	doi = {10.17885/heiup.hdjbo.2020.0.24180},
	author = {Bernd J{\"a}hne},
	editor = {Joachim Funke and Michael Wink}
}
@article {Desana:2020aa,
	title = {Sum-Product Graphical Models},
	journal = {Machine Learning},
	volume = {109},
	number = {1},
	year = {2020},
	pages = {135{\textendash}173},
	author = {Desana, M. and Schn{\"o}rr, C.}
}
@article {Censor:2020aa,
	title = {Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case},
	journal = {J. Appl. Numer. Optimization (in press; arXiv:1911.05498)},
	volume = {2},
	number = {1},
	year = {2020},
	pages = {15-62},
	url = {http://jano.biemdas.com/archives/1060},
	author = {Censor, Y. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Tourani2020,
	title = {Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization},
	booktitle = {AISTATS 2020},
	year = {2020},
	abstract = {We consider the maximum-a-posteriori inference problem in discrete graphical models and study solvers based on the dual block-coordinate ascent rule. We map all existing solvers in a single framework, allowing for a better understanding of their design principles. We theoretically show that some block-optimizing updates are sub-optimal and how to strictly improve them. On a wide range of problem instances of varying graph connec-tivity, we study the performance of existing solvers as well as new variants that can be obtained within the framework. As a result of this exploration we build a new state-of-the art solver, performing uniformly better on the whole range of test instances.},
	url = {https://gitlab.com/},
	author = {Tourani, Siddharth and Shekhovtsov, Alexander and Carsten Rother and Savchynskyy, Bogdan}
}
@article {Zern:2020ab,
	title = {Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment},
	journal = {Journal of Mathematical Imaging and Vision},
	year = {2020},
	url = {https://doi.org/10.1007/s10851-019-00935-7},
	author = {Zern, A. and M. Zisler and Petra, S. and Schn{\"o}rr, C.}
}
@proceedings {7042,
	title = {Unsupervised Magnification of Posture Deviations Across Subjects},
	year = {2020},
	author = {Michael Dorkenwald and Uta B{\"u}chler and Bj{\"o}rn Ommer}
}
@proceedings {7004,
	title = {Unsupervised Part Discovery by Unsupervised Disentanglement},
	year = {2020},
	month = {09/2020},
	address = {T{\"u}bingen},
	abstract = {We address the problem of discovering part segmentations of articulated objects without supervision. In contrast to keypoints, part segmentations provide information about part localizations on the level of individual pixels. Capturing both locations and semantics, they are an attractive target for supervised learning approaches. However, large annotation costs limit the scalability of supervised algorithms to other object categories than humans. Unsupervised approaches potentially allow to use much more data at a lower cost. Most existing unsupervised approaches focus on learning abstract representations to be refined with supervision into the final representation. Our approach leverages a generative model consisting of two disentangled representations for an object{\textquoteright}s shape and appearance and a latent variable for the part segmentation. From a single image, the trained model infers a semantic part segmentation map. In experiments, we compare our approach to previous state-of-the-art approaches and observe significant gains in segmentation accuracy and shape consistency. Our work demonstrates the feasibility to discover semantic part segmentations without supervision.},
	url = {https://compvis.github.io/unsupervised-part-segmentation/},
	author = {Sandro Braun and Patrick Esser and Bj{\"o}rn Ommer}
}
@article {6339,
	title = {Unsupervised Representation Learning by Discovering Reliable Image Relations},
	journal = {Pattern Recognition},
	volume = {102},
	year = {2020},
	month = {June 2020},
	url = {http://arxiv.org/abs/1911.07808},
	author = {Timo Milbich and Omair Ghori and Bj{\"o}rn Ommer}
}
@incollection {jaehne2020,
	title = {What controls air-sea gas exchange at extreme wind speeds? Evidence from laboratory experiments},
	year = {2020},
	pages = {133{\textendash}150},
	publisher = {Springer},
	doi = {10.1007/978-3-030-36371-0_10},
	author = {Bernd J{\"a}hne},
	editor = {P. Vlahos and E. Monahan}
}
@incollection {jaehne2019,
	title = {Air-Sea Gas Exchange},
	volume = {6},
	year = {2019},
	pages = {1{\textendash}13},
	publisher = {Academic Press},
	edition = {3},
	doi = {10.1016/B978-0-12-409548-9.11613-6},
	author = {Bernd J{\"a}hne},
	editor = {J. Kirk Cochran and Henry J. Bokuniewicz and Patricia L. Yager}
}
@article {krall2019b,
	title = {Air{\textendash}sea gas exchange at wind speeds up to 85 m/s},
	journal = {Ocean Science},
	volume = {15},
	year = {2019},
	pages = {1783-{\textendash}1799},
	doi = {10.5194/os-15-1783-2019},
	author = {Kerstin E. Krall and Andrew W. Smith and Naohisa Takagaki and Bernd J{\"a}hne}
}
@incollection {Schnorr:2019aa,
	title = {Assignment Flows},
	year = {2019},
	note = {in press},
	publisher = {Springer},
	author = {Schn{\"o}rr, C.},
	editor = {Grohs, P. and Holler, M. and Weinmann, A.}
}
@article {6320,
	title = {Bayesian Prior Networks with PAC Training},
	journal = {arXiv preprint arXiv:1906.00816},
	year = {2019},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Kandemir, M.}
}
@techreport {Kruse2019,
	title = {Benchmarking Invertible Architectures on Inverse Problems},
	number = {i},
	year = {2019},
	abstract = {Recent work demonstrated that flow-based invert-ible neural networks are promising tools for solving ambiguous inverse problems. Following up on this, we investigate how ten invertible archi-tectures and related models fare on two intuitive, low-dimensional benchmark problems, obtaining the best results with coupling layers and simple autoencoders. We hope that our initial efforts inspire other researchers to evaluate their invertible architectures in the same setting and put forth additional benchmarks, so our evaluation may eventually grow into an official community challenge.},
	author = {Kruse, Jakob and Lynton Ardizzone and Carsten Rother and Ullrich K{\"o}the}
}
@article {Kamann2019,
	title = {Benchmarking the Robustness of Semantic Segmentation Models},
	year = {2019},
	abstract = {When designing a semantic segmentation module for a practical application, such as autonomous driving, it is crucial to understand the robustness of the module with respect to a wide range of image corruptions. While there are recent robustness studies for full-image classification, we are the first to present an exhaustive study for semantic segmentation, based on the state-of-the-art model DeepLabv3\$+\$. To increase the realism of our study, we utilize almost 200,000 images generated from Cityscapes and PASCAL VOC 2012, and we furthermore present a realistic noise model, imitating HDR camera noise. Based on the benchmark study we gain several new insights. Firstly, model robustness increases with model performance, in most cases. Secondly, some architecture properties affect robustness significantly, such as a Dense Prediction Cell which was designed to maximize performance on clean data only. Thirdly, to achieve good generalization with respect to various types of image noise, it is recommended to train DeepLabv3+ with our realistic noise model.},
	url = {http://arxiv.org/abs/1908.05005},
	author = {Kamann, Christoph and Carsten Rother}
}
@article {6290,
	title = {Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models, in press},
	journal = {Physics in Medicine and Biology},
	volume = {64},
	year = {2019},
	doi = {http://iopscience.iop.org/article/10.1088/1361-6560/aafce7},
	author = {Bendinger, AL and Debus, C and Glowa, C and Karger, CP and Peter, J and Martin Storath}
}
@article {Kleesiek2019,
	title = {Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study},
	journal = {Investigative Radiology},
	volume = {54},
	year = {2019},
	pages = {653{\textendash}660},
	abstract = {Objectives Gadolinium-based contrast agents (GBCAs) have become an integral part in daily clinical decision making in the last 3 decades. However, there is a broad consensus that GBCAs should be exclusively used if no contrast-free magnetic resonance imaging (MRI) technique is available to reduce the amount of applied GBCAs in patients. In the current study, we investigate the possibility of predicting contrast enhancement from noncontrast multiparametric brain MRI scans using a deep-learning (DL) architecture. Materials and Methods A Bayesian DL architecture for the prediction of virtual contrast enhancement was developed using 10-channel multiparametric MRI data acquired before GBCA application. The model was quantitatively and qualitatively evaluated on 116 data sets from glioma patients and healthy subjects by comparing the virtual contrast enhancement maps to the ground truth contrast-enhanced T1-weighted imaging. Subjects were split in 3 different groups: Enhancing tumors (n = 47), nonenhancing tumors (n = 39), and patients without pathologic changes (n = 30). The tumor regions were segmented for a detailed analysis of subregions. The influence of the different MRI sequences was determined. Results Quantitative results of the virtual contrast enhancement yielded a sensitivity of 91.8\% and a specificity of 91.2\%. T2-weighted imaging, followed by diffusion-weighted imaging, was the most influential sequence for the prediction of virtual contrast enhancement. Analysis of the whole brain showed a mean area under the curve of 0.969 {\textpm} 0.019, a peak signal-to-noise ratio of 22.967 {\textpm} 1.162 dB, and a structural similarity index of 0.872 {\textpm} 0.031. Enhancing and nonenhancing tumor subregions performed worse (except for the peak signal-to-noise ratio of the nonenhancing tumors). The qualitative evaluation by 2 raters using a 4-point Likert scale showed good to excellent (3-4) results for 91.5\% of the enhancing and 92.3\% of the nonenhancing gliomas. However, despite the good scores and ratings, there were visual deviations between the virtual contrast maps and the ground truth, including a more blurry, less nodular-like ring enhancement, few low-contrast false-positive enhancements of nonenhancing gliomas, and a tendency to omit smaller vessels. These "features" were also exploited by 2 trained radiologists when performing a Turing test, allowing them to discriminate between real and virtual contrast-enhanced images in 80\% and 90\% of the cases, respectively. Conclusions The introduced model for virtual gadolinium enhancement demonstrates a very good quantitative and qualitative performance. Future systematic studies in larger patient collectives with varying neurological disorders need to evaluate if the introduced virtual contrast enhancement might reduce GBCA exposure in clinical practice.},
	keywords = {Bayesian uncertainty, deep learning, gadolinium-based contrast agents, glioma, multiparametric MRI},
	issn = {15360210},
	doi = {10.1097/RLI.0000000000000583},
	author = {Kleesiek, Jens and Morshuis, Jan Nikolas and Isensee, Fabian and Deike-Hofmann, Katerina and Paech, Daniel and Kickingereder, Philipp and K{\"o}the, Ullrich and Rother, Carsten and Forsting, Michael and Wick, Wolfgang and Bendszus, Martin and Schlemmer, Heinz Peter and Radbruch, Alexander}
}
@conference {Mackowiak2019,
	title = {CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation},
	booktitle = {British Machine Vision Conference 2018, BMVC 2018},
	year = {2019},
	abstract = {State of the art methods for semantic image segmentation are trained in a supervised fashion using a large corpus of fully labeled training images. However, gathering such a corpus is expensive, due to human annotation effort, in contrast to gathering unlabeled data. We propose an active learning-based strategy, called CEREALS, in which a human only has to hand-label a few, automatically selected, regions within an unlabeled image corpus. This minimizes human annotation effort while maximizing the performance of a semantic image segmentation method. The automatic selection procedure is achieved by: a) using a suitable information measure combined with an estimate about human annotation effort, which is inferred from a learned cost model, and b) exploiting the spatial coherency of an image. The performance of CEREALS is demonstrated on Cityscapes, where we are able to reduce the annotation effort to 17\%, while keeping 95\% of the mean Intersection over Union (mIoU) of a model that was trained with the fully annotated training set of Cityscapes.},
	author = {Mackowiak, Radek and Lenz, Philip and Ghori, Omair and Ferran Diego and Lange, Oliver and Carsten Rother}
}
@conference {6322,
	title = {Content and Style Disentanglement for Artistic Style Transfer},
	booktitle = {Proceedings of the Intl. Conf. on Computer Vision (ICCV)},
	year = {2019},
	author = {Dmytro Kotovenko and Sanakoyeu, Artsiom and Sabine Lang and Bj{\"o}rn Ommer}
}
@article {Savarino:2019ab,
	title = {Continuous-Domain Assignment Flows},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1910.07287},
	author = {Savarino, F. and Schn{\"o}rr, C.}
}
@article {lu2019,
	title = {Decomposing infrared images of wind waves for quantitative separation into characteristic flow processes},
	journal = {IEEE Transactions on Geoscience and Remote Sensing},
	volume = {57},
	year = {2019},
	pages = {8304{\textendash}8316},
	doi = {10.1109/TGRS.2019.2920280},
	author = {Guan-hung Lu and Wu-ting Tsai and Bernd J{\"a}hne}
}
@proceedings {6318,
	title = {Deep Active Learning with Adaptive Acquisition},
	year = {2019},
	pages = {2470-2476},
	doi = { 10.24963/ijcai.2019/343},
	author = {Manuel Hau{\ss}mann and Fred A. Hamprecht and Kandemir, M.}
}
@conference {Li2019,
	title = {Deep Object Co-segmentation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11363 LNCS},
	year = {2019},
	pages = {638{\textendash}653},
	abstract = {This work presents a deep object co-segmentation (DOCS) approach for segmenting common objects of the same class within a pair of images. This means that the method learns to ignore common, or uncommon, background stuff and focuses on common objects. If multiple object classes are presented in the image pair, they are jointly extracted as foreground. To address this task, we propose a CNN-based Siamese encoder-decoder architecture. The encoder extracts high-level semantic features of the foreground objects, a mutual correlation layer detects the common objects, and finally, the decoder generates the output foreground masks for each image. To train our model, we compile a large object co-segmentation dataset consisting of image pairs from the PASCAL dataset with common objects masks. We evaluate our approach on commonly used datasets for co-segmentation tasks and observe that our approach consistently outperforms competing methods, for both seen and unseen object classes.},
	isbn = {9783030208929},
	issn = {16113349},
	doi = {10.1007/978-3-030-20893-6_40},
	author = {Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@mastersthesis {papst2019,
	title = {Development of a method for quantitative imaging of air-water gas exchange},
	volume = {Bachelors thesis},
	year = {2019},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersMaster{\textquoteright}s thesis},
	doi = {10.11588/heidok.00027271},
	author = {Maximilian Papst}
}
@article {Savchynskyy2019,
	title = {Discrete Graphical Models {\textemdash} An Optimization Perspective},
	journal = {Foundations and Trends{\textregistered} in Computer Graphics and Vision},
	volume = {11},
	number = {3-4},
	year = {2019},
	pages = {160{\textendash}429},
	publisher = {Now Publishers},
	abstract = {This monograph is about combinatorial optimization. More precisely, about a special class of combinatorial problems known as energy minimization or maximum a posteriori (MAP) inference in graphical models, closely related to weighted and valued constraint satisfaction problems and having tight connections to Markov random fields and quadratic pseudo-boolean optimization. What distinguishes this monograph from a number of other monographs on graphical models is its focus: It considers graphical models, or, more precisely, MAP-inference for graphical models, purely as a combinatorial optimization problem. Modeling, applications, probabilistic interpretations and many other aspects are either ignored here or find their place in examples and remarks only. Combinatorial optimization as a field is largely based on five fundamental topics: (i) integer linear programming and polyhedral optimization; (ii) totally unimodular matrices and the class of min-cost-flow problems; (iii) Lagrange decompositions and relaxations; (iv) dynamic programming and (v) submodularity, matroids and greedy algorithms. Each of these topics found its place in this monograph, although to a variable extent. The covering of each respective topic reflects its importance for the considered MAP-inference problem. Since optimization is the primary topic of this monograph, we mostly stick to the terminology widely used in optimization and where it was possible we tried to avoid the graphical models community-specific technical terms. The latter differ from sub-community to sub-community and, in our view, significantly complicate the information exchange between them. The same holds also for the presentation of material in this monograph. If there is a choice when introducing mathematical constructs or proving statements, we prefer more general mathematical tools applicable in the whole field of operations research rather than to stick to graphical modelspecific constructions. We additionally provide the graphical model-specific constructions if it turns out to be easier than the more general one. This way of presentation has two advantages. A reader familiar with a more general technique can grasp the new material faster. On the other hand, the monograph may serve as an introduction to combinatorial optimization for readers unfamiliar with this subject. To make the monograph even more suitable for both categories of readers we explicitly separate the mathematical optimization background chapters from those specific to graphical models. We believe, therefore, that the monograph can be useful for undergraduate and graduate students studying optimization or graphical models, as well as for experts in optimization who want to have a look into graphical models. Moreover, we believe that even experts in graphical models can find new views on the known facts as well as a novel presentation of less known results in the monograph. These are for instance (i) a simple and general proof of equivalence of different acyclic Lagrange decompositions of a graphical model; (ii) a general scheme for analyzing convergence of dual block-coordinate descent methods; (iii) a short and self-contained analysis of a linear programming relaxation for binary graphical models, its persistency properties and its relation to quadratic pseudo-boolean optimization. The present monograph is based on lectures given to undergraduate students of Technical University of Dresden and Heidelberg University. The selection of material is done in a way that it may serve as a basis for a semester course.},
	issn = {1572-2740},
	doi = {10.1561/0600000084},
	author = {Savchynskyy, Bogdan}
}
@proceedings {6299,
	title = {Divide and Conquer the Embedding Space for Metric Learning},
	year = {2019},
	keywords = {deep learning, metric learning},
	url = {https://github.com/CompVis/metric-learning-divide-and-conquer},
	author = {Sanakoyeu, A. and Tschernezki, V. and Uta B{\"u}chler and Bj{\"o}rn Ommer}
}
@article {6335,
	title = {An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting},
	journal = {IEEE Transactions on Image Processing},
	volume = {29},
	year = {2019},
	chapter = {921-933},
	doi = {10.1109/TIP.2019.2937040},
	author = {Kiefer, L and Martin Storath and Weinmann, A}
}
@proceedings {6302,
	title = {End-to-End Learned Random Walker for Seeded Image Segmentation},
	year = {2019},
	pages = {12559-12568},
	doi = { 10.1109/CVPR.2019.01284},
	author = {Cerrone, L and Zeilmann, A and Fred A. Hamprecht}
}
@article {7083,
	title = {Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures},
	journal = {Nature Communications},
	volume = {13;10(1)},
	year = {2019},
	doi = {10.1038/s41467-019-09879-3},
	author = {Imle, A and Kumberger, P and Schnellb{\"a}cher, ND and Fehr, J and Carillo-Bustamente, P and Ales, J and Schmidt, P and Ritter, C and Godinez, WJ and M{\"u}ller, B and Rohr, K and Hamprecht, FA and Schwarz, US and Graw, F and Fackler, OT}
}
@conference {Brachmann2019,
	title = {Expert sample consensus applied to camera re-localization},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2019-Octob},
	year = {2019},
	month = {aug},
	pages = {7524{\textendash}7533},
	abstract = {Fitting model parameters to a set of noisy data points is a common problem in computer vision. In this work, we fit the 6D camera pose to a set of noisy correspondences between the 2D input image and a known 3D environment. We estimate these correspondences from the image using a neural network. Since the correspondences often contain outliers, we utilize a robust estimator such as Random Sample Consensus (RANSAC) or Differentiable RANSAC (DSAC) to fit the pose parameters. When the problem domain, e.g. the space of all 2D-3D correspondences, is large or ambiguous, a single network does not cover the domain well. Mixture of Experts (MoE) is a popular strategy to divide a problem domain among an ensemble of specialized networks, so called experts, where a gating network decides which expert is responsible for a given input. In this work, we introduce Expert Sample Consensus (ESAC), which integrates DSAC in a MoE. Our main technical contribution is an efficient method to train ESAC jointly and end-to-end. We demonstrate experimentally that ESAC handles two real-world problems better than competing methods, i.e. scalability and ambiguity. We apply ESAC to fitting simple geometric models to synthetic images, and to camera re-localization for difficult, real datasets.},
	isbn = {9781728148038},
	issn = {15505499},
	doi = {10.1109/ICCV.2019.00762},
	url = {http://arxiv.org/abs/1908.02484},
	author = {Brachmann, Eric and Carsten Rother}
}
@article {kirchhoefer2019,
	title = {Extended noise equalisation for image compression in microscopical applications},
	journal = {tm - Technisches Messen},
	volume = {86},
	year = {2019},
	pages = {422{\textendash}432},
	doi = {10.1515/teme-2019-0022},
	author = {Daniel M. Kirchh{\"o}fer and Gerhard A. Holst and Fred S. Wouters and Stephan Hock and Bernd J{\"a}hne}
}
@article {6348,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {Comp. Statistics \& Data Analysis},
	volume = {140},
	year = {2019},
	pages = {41-58},
	doi = {10.1016/j.csda.2019.04.005},
	author = {Rathke, F and Schn{\"o}rr, C}
}
@article {Rathke:2019aa,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {Comp. Statistics \& Data Analysis},
	volume = {140},
	year = {2019},
	pages = {41{\textendash}58},
	author = {Rathke, F. and Schn{\"o}rr, C.}
}
@phdthesis {klein2019,
	title = {The Fetch Dependency of Small-Scale Air-Sea Interaction Processes at Low to Moderate Wind Speeds},
	volume = {Dissertation},
	year = {2019},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	address = {Heidelberg},
	doi = {10.11588/heidok.00026559},
	author = {Angelika Klein}
}
@conference {AbuAlhaija2019,
	title = {Geometric Image Synthesis},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11366 LNCS},
	year = {2019},
	pages = {85{\textendash}100},
	abstract = {The task of generating natural images from 3D scenes has been a long standing goal in computer graphics. On the other hand, recent developments in deep neural networks allow for trainable models that can produce natural-looking images with little or no knowledge about the scene structure. While the generated images often consist of realistic looking local patterns, the overall structure of the generated images is often inconsistent. In this work we propose a trainable, geometry-aware image generation method that leverages various types of scene information, including geometry and segmentation, to create realistic looking natural images that match the desired scene structure. Our geometrically-consistent image synthesis method is a deep neural network, called Geometry to Image Synthesis (GIS) framework, which retains the advantages of a trainable method, e.g., differentiability and adaptiveness, but, at the same time, makes a step towards the generalizability, control and quality output of modern graphics rendering engines. We utilize the GIS framework to insert vehicles in outdoor driving scenes, as well as to generate novel views of objects from the Linemod dataset. We qualitatively show that our network is able to generalize beyond the training set to novel scene geometries, object shapes and segmentations. Furthermore, we quantitatively show that the GIS framework can be used to synthesize large amounts of training data which proves beneficial for training instance segmentation models.},
	isbn = {9783030208752},
	issn = {16113349},
	doi = {10.1007/978-3-030-20876-9_6},
	url = {https://youtu.be/W2tFCz9xJoU},
	author = {Hassan Abu Alhaija and Mustikovela, Siva Karthik and Geiger, Andreas and Carsten Rother}
}
@article {Zeilmann:2019aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {Inverse Problems},
	year = {2019},
	url = {https://doi.org/10.1088/1361-6420/ab2772},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@article {Kostrykin:2019aa,
	title = {Globally Optimal Segmentation of Cell Nuclei in Fluoroscence Microscopy Images using Shape and Intensity Information},
	journal = {Medical Image Analysis},
	year = {2019},
	url = {https://doi.org/10.1016/j.media.2019.101536},
	author = {Kostrykin, L. and Schn{\"o}rr, C. and Rohr, K.}
}
@article {Ardizzone2019a,
	title = {Guided Image Generation with Conditional Invertible Neural Networks},
	year = {2019},
	abstract = {In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). The cINN combines the purely generative INN model with an unconstrained feed-forward network, which efficiently preprocesses the conditioning input into useful features. All parameters of the cINN are jointly optimized with a stable, maximum likelihood-based training procedure. By construction, the cINN does not experience mode collapse and generates diverse samples, in contrast to e.g. cGANs. At the same time our model produces sharp images since no reconstruction loss is required, in contrast to e.g. VAEs. We demonstrate these properties for the tasks of MNIST digit generation and image colorization. Furthermore, we take advantage of our bi-directional cINN architecture to explore and manipulate emergent properties of the latent space, such as changing the image style in an intuitive way.},
	url = {http://arxiv.org/abs/1907.02392},
	author = {Lynton Ardizzone and Carsten L{\"u}th and Kruse, Jakob and Carsten Rother and Ullrich K{\"o}the}
}
@article {Ardizzone2019,
	title = {Guided Image Generation with Conditional Invertible Neural Networks},
	year = {2019},
	abstract = {In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). The cINN combines the purely generative INN model with an unconstrained feed-forward network, which efficiently preprocesses the conditioning input into useful features. All parameters of the cINN are jointly optimized with a stable, maximum likelihood-based training procedure. By construction, the cINN does not experience mode collapse and generates diverse samples, in contrast to e.g. cGANs. At the same time our model produces sharp images since no reconstruction loss is required, in contrast to e.g. VAEs. We demonstrate these properties for the tasks of MNIST digit generation and image colorization. Furthermore, we take advantage of our bi-directional cINN architecture to explore and manipulate emergent properties of the latent space, such as changing the image style in an intuitive way.},
	url = {http://arxiv.org/abs/1907.02392},
	author = {Lynton Ardizzone and Carsten L{\"u}th and Kruse, Jakob and Carsten Rother and Ullrich K{\"o}the}
}
@article {6334,
	title = {ilastik: interactive machine learning for (bio)image analysis},
	journal = {Nature Methods},
	volume = {16},
	year = {2019},
	pages = {1226-1232},
	doi = {10.1038/s41592-019-0582-9},
	author = {Stuart Berg and Kutra, D and Kroeger, T and Christoph N. Straehle and Bernhard X. Kausler and Haubold, C. and Schiegg, M and Ales, J and Thorsten Beier and Rudy, M and Eren, K and Cervantes, JI and Xu, B and Beuttenm{\"u}ller, F and Wolny, A and Zhang, C and Ullrich K{\"o}the and Fred A. Hamprecht and Kreshuk, A}
}
@mastersthesis {6344,
	title = {Instance Segmentation via Associative Pixel Embeddings},
	year = {2019},
	school = {Heidelberg University},
	author = {Remme, R}
}
@article {friman2019,
	title = {Investigating SO2 transfer across the air{\textendash}water interface via LIF},
	journal = {Exp. Fluids},
	volume = {60},
	year = {2019},
	pages = {65},
	doi = {10.1007/s00348-019-2713-6},
	author = {Friman, Sonja I. and Bernd J{\"a}hne}
}
@conference {HosseiniJafari2019,
	title = {iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11363 LNCS},
	year = {2019},
	pages = {477{\textendash}492},
	abstract = {We address the task of 6D pose estimation of known rigid objects from single input images in scenarios where the objects are partly occluded. Recent RGB-D-based methods are robust to moderate degrees of occlusion. For RGB inputs, no previous method works well for partly occluded objects. Our main contribution is to present the first deep learning-based system that estimates accurate poses for partly occluded objects from RGB-D and RGB input. We achieve this with a new instance-aware pipeline that decomposes 6D object pose estimation into a sequence of simpler steps, where each step removes specific aspects of the problem. The first step localizes all known objects in the image using an instance segmentation network, and hence eliminates surrounding clutter and occluders. The second step densely maps pixels to 3D object surface positions, so called object coordinates, using an encoder-decoder network, and hence eliminates object appearance. The third, and final, step predicts the 6D pose using geometric optimization. We demonstrate that we significantly outperform the state-of-the-art for pose estimation of partly occluded objects for both RGB and RGB-D input.},
	isbn = {9783030208929},
	issn = {16113349},
	doi = {10.1007/978-3-030-20893-6_30},
	author = {Omid Hosseini Jafari and Mustikovela, Siva Karthik and Pertsch, Karl and Brachmann, Eric and Carsten Rother}
}
@phdthesis {6346,
	title = {Isotropic Reconstruction of Neural Morphology from Large Non-Isotropic 3D Electron MIcroscopy},
	year = {2019},
	publisher = {Heidelberg University},
	author = {Hanslovsky, P}
}
@article {Huhnerbein:2019ab,
	title = {Learning Adaptive Regularization for Image Labeling Using Geometric Assignment},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1910.09976},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Huhnerbein:2019aa,
	title = {Learning Adaptive Regularization for Image Labeling Using Geometric Assignment},
	booktitle = {Proc. SSVM},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Leistner2019,
	title = {Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift},
	booktitle = {Proceedings - 2019 International Conference on 3D Vision, 3DV 2019},
	year = {2019},
	month = {sep},
	pages = {249{\textendash}257},
	abstract = {We propose a method for depth estimation from light field data, based on a fully convolutional neural network architecture. Our goal is to design a pipeline which achieves highly accurate results for small-and wide-baseline light fields. Since light field training data is scarce, all learning-based approaches use a small receptive field and operate on small disparity ranges. In order to work with wide-baseline light fields, we introduce the idea of EPI-Shift: To virtually shift the light field stack which enables to retain a small receptive field, independent of the disparity range. In this way, our approach {\textquoteright}learns to think outside the box of the receptive field". Our network performs joint classification of integer disparities and regression of disparity-offsets. A U-Net component provides excellent long-range smoothing. EPI-Shift considerably outperforms the state-of-the-art learning-based approaches and is on par with hand-crafted methods. We demonstrate this on a publicly available, synthetic, small-baseline benchmark and on large-baseline real-world recordings.},
	keywords = {Computer vision, deep learning, depth estimation, light fields, Stereo},
	isbn = {9781728131313},
	doi = {10.1109/3DV.2019.00036},
	url = {http://arxiv.org/abs/1909.09059 http://dx.doi.org/10.1109/3DV.2019.00036},
	author = {Titus Leistner and Schilling, Hendrik and Mackowiak, Radek and Gumhold, Stefan and Carsten Rother}
}
@proceedings {6288,
	title = {LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos},
	year = {2019},
	author = {Kirschbaum, E. and Manuel Hau{\ss}mann and Wolf, S and Sonntag, H and Schneider, J and Elzoheiry, S and Kann, O and Durstewitz, D and Fred A. Hamprecht}
}
@techreport {Li,
	title = {Localizing Common Objects Using Common Component Activation Map},
	year = {2019},
	abstract = {In this work, we propose an approach to localize common objects from novel object categories in a set of images. We solve this problem using a new common component activation map (CCAM) in which we treat the class-specific activation maps (CAM) as components to discover the common components in the image set. We show that our approach can generalize on novel object categories in our experiments .},
	author = {Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@phdthesis {6991,
	title = {Machine learning under test-time budget constraints},
	year = {2019},
	publisher = {Heidelberg University},
	author = {Peter, S}
}
@article {nagel2019,
	title = {Measurement of air-sea gas transfer velocities in the Baltic Sea},
	journal = {Ocean Science},
	volume = {15},
	year = {2019},
	pages = {235{\textendash}247},
	doi = {10.5194/os-15-235-2019},
	author = {Leila Nagel and Kerstin E. Krall and Bernd J{\"a}hne}
}
@article {6315,
	title = {A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms},
	journal = {arXiv preprint arXiv:1901.10912},
	year = {2019},
	author = {Bengio, Y and Deleu, T and Rahaman, N and Ke, R and Lachapelle, S and Bilaniuk, O and Goyal, A and Pal, C}
}
@conference {6321,
	title = {MIC: Mining Interclass Characteristics for Improved Metric Learning},
	booktitle = {Proceedings of the Intl. Conf. on Computer Vision (ICCV)},
	year = {2019},
	author = {Biagio Brattoli and Karsten Roth and Bj{\"o}rn Ommer}
}
@conference {Brachmann2019a,
	title = {Neural-guided RANSAC: Learning where to sample model hypotheses},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2019-Octob},
	year = {2019},
	month = {may},
	pages = {4321{\textendash}4330},
	abstract = {We present Neural-Guided RANSAC (NG-RANSAC), an extension to the classic RANSAC algorithm from robust optimization. NG-RANSAC uses prior information to improve model hypothesis search, increasing the chance of finding outlier-free minimal sets. Previous works use heuristic side-information like hand-crafted descriptor distance to guide hypothesis search. In contrast, we learn hypothesis search in a principled fashion that lets us optimize an arbitrary task loss during training, leading to large improvements on classic computer vision tasks. We present two further extensions to NG-RANSAC. Firstly, using the inlier count itself as training signal allows us to train neural guidance in a self-supervised fashion. Secondly, we combine neural guidance with differentiable RANSAC to build neural networks which focus on certain parts of the input data and make the output predictions as good as possible. We evaluate NG-RANSAC on a wide array of computer vision tasks, namely estimation of epipolar geometry, horizon line estimation and camera re-localization. We achieve superior or competitive results compared to state-of-the-art robust estimators, including very recent, learned ones.},
	isbn = {9781728148038},
	issn = {15505499},
	doi = {10.1109/ICCV.2019.00442},
	url = {http://arxiv.org/abs/1905.04132},
	author = {Brachmann, Eric and Carsten Rother}
}
@mastersthesis {6936,
	title = {Novel Deep Learning-based Instance Segmentation Using Mutex Watershed for Microscopy Cell Images},
	year = {2019},
	school = {Heidelberg University},
	author = {Ravindran, A}
}
@phdthesis {6340,
	title = {Novel Machine Learning Approaches for Neurophysiological Data Analysis},
	year = {2019},
	publisher = {Heidelberg University},
	author = {Kirschbaum, E.}
}
@conference {Adler2019,
	title = {Out of Distribution Detection for Intra-operative Functional Imaging},
	booktitle = {MICCAI UNSURE Workshop 2019},
	volume = {11840 LNCS},
	year = {2019},
	pages = {75{\textendash}82},
	abstract = {Multispectral optical imaging is becoming a key tool in the operating room. Recent research has shown that machine learning algorithms can be used to convert pixel-wise reflectance measurements to tissue parameters, such as oxygenation. However, the accuracy of these algorithms can only be guaranteed if the spectra acquired during surgery match the ones seen during training. It is therefore of great interest to detect so-called out of distribution (OoD) spectra to prevent the algorithm from presenting spurious results. In this paper we present an information theory based approach to OoD detection based on the widely applicable information criterion (WAIC). Our work builds upon recent methodology related to invertible neural networks (INN). Specifically, we make use of an ensemble of INNs as we need their tractable Jacobians in order to compute the WAIC. Comprehensive experiments with in silico, and in vivo multispectral imaging data indicate that our approach is well-suited for OoD detection. Our method could thus be an important step towards reliable functional imaging in the operating room.},
	issn = {16113349},
	doi = {10.1007/978-3-030-32689-0_8},
	author = {Adler, Tim J and Ayala, Leonardo and Lynton Ardizzone and Kenngott, Hannes G and Vemuri, Anant and M{\"u}ller-Stich, Beat P and Carsten Rother and Ullrich K{\"o}the and Maier-Hein, Lena}
}
@mastersthesis {6343,
	title = {Pipeline f{\"u}r die automatisierte Objektsegmentierung von 3D Lightshet Mikroskopiebildern},
	year = {2019},
	school = {Heidelberg University},
	author = {Snajder, R}
}
@conference {fita2019probabilistic,
	title = {Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning},
	booktitle = {Advances in Neural Information Processing Systems},
	year = {2019},
	author = {Fita Sanmartin, E and Damrich, Sebastian and Hamprecht, Fred A.}
}
@article {Bhowmik2019,
	title = {Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task},
	year = {2019},
	month = {dec},
	abstract = {We address a core problem of computer vision: Detection and description of 2D feature points for image matching. For a long time, hand-crafted designs, like the seminal SIFT algorithm, were unsurpassed in accuracy and efficiency. Recently, learned feature detectors emerged that implement detection and description using neural networks. Training these networks usually resorts to optimizing low-level matching scores, often pre-defining sets of image patches which should or should not match, or which should or should not contain key points. Unfortunately, increased accuracy for these low-level matching scores does not necessarily translate to better performance in high-level vision tasks. We propose a new training methodology which embeds the feature detector in a complete vision pipeline, and where the learnable parameters are trained in an end-to-end fashion. We overcome the discrete nature of key point selection and descriptor matching using principles from reinforcement learning. As an example, we address the task of relative pose estimation between a pair of images. We demonstrate that the accuracy of a state-of-the-art learning-based feature detector can be increased when trained for the task it is supposed to solve at test time. Our training methodology poses little restrictions on the task to learn, and works for any architecture which predicts key point heat maps, and descriptors for key point locations.},
	url = {http://arxiv.org/abs/1912.00623},
	author = {Bhowmik, Aritra and Gumhold, Stefan and Carsten Rother and Brachmann, Eric}
}
@mastersthesis {6307,
	title = {Robust Single Object Tracking via Fully Convolutional Siamese Networks},
	year = {2019},
	school = {Heidelberg University},
	type = {Master Thesis},
	author = {Li, J}
}
@proceedings {6317,
	title = {Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation},
	year = {2019},
	pages = {563-573},
	author = {Manuel Hau{\ss}mann and Fred A. Hamprecht and Kandemir, M.}
}
@article {Zisler:2019ab,
	title = {Self-Assignment Flows for Unsupervised Data Labeling on Graphs},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1911.03472},
	author = {M. Zisler and Zern, A. and Petra, S. and Schn{\"o}rr, C.}
}
@mastersthesis {6308,
	title = {Semantic Instance Segmentation with the Multiway Mutex Watershed},
	year = {2019},
	school = {Heidelberg University},
	author = {Li, Y}
}
@mastersthesis {6345,
	title = {Semi-supervised distance-based segmentation},
	year = {2019},
	school = {Heidelberg University},
	author = {E Fita}
}
@mastersthesis {voigt2019,
	title = {Simulation and Measurement of the Water-sided Viscous Shear Stress without Waves},
	volume = {Bachelor},
	year = {2019},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {Bachelor{\textquoteright}s thesis},
	doi = {10.11588/heidok.00026653},
	author = {Philipp Voigt}
}
@article {6336,
	title = {Smoothing for signals with discontinuities using higher order Mumford-Shah models},
	journal = {Numerische Mathematik},
	volume = {143(2)},
	year = {2019},
	pages = {423-460},
	doi = {10.1007/s00211-019-01052-8},
	author = {Martin Storath and Kiefer, L and Weinmann, A}
}
@article {Desana:2019aa,
	title = {Sum-Product Graphical Models},
	journal = {Machine Learning},
	year = {2019},
	url = {https://doi.org/10.1007/s10994-019-05813-2},
	author = {Desana, M. and Schn{\"o}rr, C.}
}
@article {Censor:2019aa,
	title = {Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1911.05498},
	author = {Censor, Y. and Petra, S. and Schn{\"o}rr, C.}
}
@mastersthesis {6342,
	title = {Synaptic Cleft Prediction on Electron Microsope Images},
	year = {2019},
	school = {Heidelberg University},
	author = {Gro{\ss}kinsky, M}
}
@article {6337,
	title = {Total variation regularization of pose signals with an application to 3D freehand ultrasound},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {38(10)},
	year = {2019},
	pages = {2245-2258},
	doi = { 10.1109/TMI.2019.2898480},
	author = {Esposito, M and Hennersperger, C and G{\"o}bl, R and Demaret, L and Martin Storath and Navab, N and Baust, M and Weinmann, A}
}
@mastersthesis {6937,
	title = {Tracking Dividing Cells Using Spatio-Temporal Embeddings},
	year = {2019},
	school = {Heidelberg University},
	author = {Xiao, S}
}
@article {Zern:2019aa,
	title = {Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1904.10863},
	author = {Zern, A. and M. Zisler and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Zisler:2019aa,
	title = {Unsupervised Labeling by Geometric and Spatially Regularized Self-Assignment},
	booktitle = {Proc. SSVM},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	author = {M. Zisler and Zern, A. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {6301,
	title = {Unsupervised Part-Based Disentangling of Object Shape and Appearance},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral + Best paper finalist: top 45 / 5160 submissions)},
	year = {2019},
	author = {Dominik Lorenz and Leonard Bereska and Timo Milbich and Bj{\"o}rn Ommer}
}
@conference {6323,
	title = {Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis},
	booktitle = {Proceedings of the Intl. Conf. on Computer Vision (ICCV)},
	year = {2019},
	abstract = {Deep generative models come with the promise to learn an explainable representation for visual objects that allows image sampling, synthesis, and selective modification. The main challenge is to learn to properly model the independent latent characteristics of an object, especially its appearance and pose. We present a novel approach that learns disentangled representations of these characteristics and explains them individually. Training requires only pairs of images depicting the same object appearance, but no pose annotations. We propose an additional classifier that estimates the minimal amount of regularization required to enforce disentanglement. Thus both representations together can completely explain an image while being independent of each other. Previous methods based on adversarial approaches fail to enforce this independence, while methods based on variational approaches lead to uninformative representations. In experiments on diverse object categories, the approach successfully recombines pose and appearance to reconstruct and retarget novel synthesized images. We achieve significant improvements over state-of-the-art methods which utilize the same level of supervision, and reach performances comparable to those of pose-supervised approaches. However, we can handle the vast body of articulated object classes for which no pose models/annotations are available.},
	url = {https://compvis.github.io/robust-disentangling/},
	author = {Patrick Esser and Johannes Haux and Bj{\"o}rn Ommer}
}
@proceedings {6300,
	title = {Using a Transformation Content Block For Image Style Transfer},
	year = {2019},
	author = {Dmytro Kotovenko and Sanakoyeu, A. and Sabine Lang and Ma, P. and Bj{\"o}rn Ommer}
}
@conference {Savarino:2019aa,
	title = {A Variational Perspective on the Assignment Flow},
	booktitle = {Proc. SSVM},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	author = {Savarino, F. and Schn{\"o}rr, C.}
}
@conference {6324,
	title = {Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation},
	booktitle = {German Conference on Pattern Recognition (GCPR)},
	year = {2019},
	author = {Nikolai Ufer and Kam To Lui and Katja Schwarz and Paul Warkentin and Bj{\"o}rn Ommer}
}
@mastersthesis {6341,
	title = {Weakly Supervised Semantic Segmentation},
	year = {2019},
	school = {Heidelberg University},
	author = {Pandey, N}
}
@phdthesis {bopp2018,
	title = {Air-Flow and Stress Partitioning over Wind Waves in a Linear Wind-Wave Facility},
	volume = {Dissertation},
	year = {2018},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	address = {Heidelberg},
	doi = {10.11588/heidok.00024741},
	author = {Bopp, Maximilian}
}
@article {6247,
	title = {Attesting Similarity: Supporting the Organization and Study of Art Image Collections with Computer Vision},
	journal = {Digital Scholarship in the Humanities, Oxford University Press},
	volume = {33},
	year = {2018},
	pages = {845-856},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {Alhaija2018,
	title = {Augmented Reality Meets Computer Vision},
	journal = {International Journal of Computer Vision},
	volume = {In press},
	year = {2018},
	pages = {1{\textendash}13},
	abstract = {The success of deep learning in computer vision is based on availability of large annotated datasets. To lower the need for hand labeled images, virtually rendered 3D worlds have recently gained popularity. Creating realistic 3D content is challenging on its own and requires significant human effort. In this work, we propose an alternative paradigm which combines real and synthetic data for learning semantic instance segmentation and object detection models. Exploiting the fact that not all aspects of the scene are equally important for this task, we propose to augment real-world imagery with virtual objects of the target category. Capturing real-world images at large scale is easy and cheap, and directly provides real background appearances without the need for creating complex 3D models of the environment. We present an efficient procedure to augment real images with virtual objects. This allows us to create realistic composite images which exhibit both realistic background appearance and a large number of complex object arrangements. In contrast to modeling complete 3D environments, our augmentation approach requires only a few user interactions in combination with 3D shapes of the target object. Through extensive experimentation, we conclude the right set of parameters to produce augmented data which can maximally enhance the performance of instance segmentation models. Further, we demonstrate the utility of our approach on training standard deep models for semantic instance segmentation and object detection of cars in outdoor driving scenes. We test the models trained on our augmented data on the KITTI 2015 dataset, which we have annotated with pixel-accurate ground truth, and on Cityscapes dataset. Our experiments demonstrate that models trained on augmented imagery generalize better than those trained on synthetic data or models trained on limited amount of annotated real data.},
	keywords = {autonomous driving, data augmenta-, instance segmentation, synthetic training data, tion},
	author = {Hassan Abu Alhaija and Mustikovela, Siva Karthik and Mescheder, Lars and Geiger, Andreas and Carsten Rother}
}
@article {6268,
	title = {Augmented Reality Meets Computer Vision Efficient Data Generation for Urban Driving Scenes},
	journal = {IJCV},
	year = {2018},
	pages = {1-12},
	doi = {10.1007/s11263-018-1070-x},
	author = {Hassan Abu Alhaija and Mustikovela, S K and Mescheder, A and Geiger, C and Carsten Rother}
}
@article {AbuAlhaija2018,
	title = {Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes},
	journal = {International Journal of Computer Vision},
	volume = {126},
	number = {9},
	year = {2018},
	month = {aug},
	pages = {961{\textendash}972},
	abstract = {The success of deep learning in computer vision is based on the availability of large annotated datasets. To lower the need for hand labeled images, virtually rendered 3D worlds have recently gained popularity. Unfortunately, creating realistic 3D content is challenging on its own and requires significant human effort. In this work, we propose an alternative paradigm which combines real and synthetic data for learning semantic instance segmentation and object detection models. Exploiting the fact that not all aspects of the scene are equally important for this task, we propose to augment real-world imagery with virtual objects of the target category. Capturing real-world images at large scale is easy and cheap, and directly provides real background appearances without the need for creating complex 3D models of the environment. We present an efficient procedure to augment these images with virtual objects. In contrast to modeling complete 3D environments, our data augmentation approach requires only a few user interactions in combination with 3D models of the target object category. Leveraging our approach, we introduce a novel dataset of augmented urban driving scenes with 360 degree images that are used as environment maps to create realistic lighting and reflections on rendered objects. We analyze the significance of realistic object placement by comparing manual placement by humans to automatic methods based on semantic scene analysis. This allows us to create composite images which exhibit both realistic background appearance as well as a large number of complex object arrangements. Through an extensive set of experiments, we conclude the right set of parameters to produce augmented data which can maximally enhance the performance of instance segmentation models. Further, we demonstrate the utility of the proposed approach on training standard deep models for semantic instance segmentation and object detection of cars in outdoor driving scenarios. We test the models trained on our augmented data on the KITTI 2015 dataset, which we have annotated with pixel-accurate ground truth, and on the Cityscapes dataset. Our experiments demonstrate that the models trained on augmented imagery generalize better than those trained on fully synthetic data or models trained on limited amounts of annotated real data.},
	keywords = {autonomous driving, Data augmentation, instance segmentation, Object detection, synthetic training data},
	issn = {15731405},
	doi = {10.1007/s11263-018-1070-x},
	url = {http://arxiv.org/abs/1708.01566},
	author = {Hassan Abu Alhaija and Mustikovela, Siva Karthik and Mescheder, Lars and Geiger, Andreas and Carsten Rother}
}
@conference {Hodan2018,
	title = {BOP: Benchmark for 6D object pose estimation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11214 LNCS},
	year = {2018},
	month = {aug},
	pages = {19{\textendash}35},
	abstract = {We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image. The training data consists of a texture-mapped 3D object model or images of the object in known 6D poses. The benchmark comprises of: (i) eight datasets in a unified format that cover different practical scenarios, including two new datasets focusing on varying lighting conditions, (ii) an evaluation methodology with a pose-error function that deals with pose ambiguities, (iii) a comprehensive evaluation of 15 diverse recent methods that captures the status quo of the field, and (iv) an online evaluation system that is open for continuous submission of new results. The evaluation shows that methods based on point-pair features currently perform best, outperforming template matching methods, learning-based methods and methods based on 3D local features. The project website is available at bop.felk.cvut.cz.},
	isbn = {9783030012489},
	issn = {16113349},
	doi = {10.1007/978-3-030-01249-6_2},
	url = {http://arxiv.org/abs/1808.08319},
	author = {Hoda{\v n}, Tom{\'a}{\v s} and Michel, Frank and Brachmann, Eric and Kehl, Wadim and Buch, Anders Glent and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae Kyun and Matas, Ji{\v r}{\'\i} and Carsten Rother}
}
@inbook {6287,
	title = {Computer Vision und Kunstgeschichte {\textemdash} Dialog zweier Bildwissenschaften},
	booktitle = {Computing Art Reader: Einf{\"u}hrung in die digitale Kunstgeschichte, P. Kuroczyński et al. (ed.)},
	year = {2018},
	author = {Bell, P. and Bj{\"o}rn Ommer}
}
@article {Arnab2018,
	title = {Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation},
	journal = {Cvpr},
	volume = {XX},
	number = {Xx},
	year = {2018},
	pages = {1{\textendash}15},
	abstract = {{\textemdash}Semantic Segmentation is the task of labelling every pixel in an image with a pre-defined object category. It has numer-ous applications in scenarios where the detailed understanding of an image is required, such as in autonomous vehicles and medical diagnosis. This problem has traditionally been solved with probabilistic models known as Conditional Random Fields (CRFs) due to their ability to model the relationships between the pixels being predicted. However, Deep Neural Networks (DNNs) have recently been shown to excel at a wide range of computer vision problems due to their ability to learn rich feature representations automatically from data, as opposed to traditional hand-crafted features. The idea of combining CRFs and DNNs have achieved state-of-the-art results in a number of domains. We review the literature on combining the modelling power of CRFs with the representation-learning ability of DNNs, ranging from early work that combines these two techniques as independent stages of a common pipeline to recent approaches that embed inference of probabilistic models directly in the neural network itself. Finally, we summarise future research directions.},
	keywords = {conditional random fields, deep learning, seman-},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.308.8889\&rep=rep1\&type=pdf\%0Ahttp://dx.doi.org/10.1109/CVPR.2012.6248050},
	author = {Arnab, Anurag and Zheng, Shuai and Jayasumana, Sadeep and Romera-paredes, Bernardino and Kirillov, Alexander and Savchynskyy, Bogdan and Carsten Rother and Kahl, Fredrik and Torr, Philip}
}
@conference {sayed:GCPR:2018,
	title = {Cross and Learn: Cross-Modal Self-Supervision},
	booktitle = {German Conference on Pattern Recognition (GCPR) (Oral)},
	year = {2018},
	address = {Stuttgart, Germany},
	abstract = {In this paper we present a self-supervised method to learn feature representations for different modalities. Based on the observation that cross-modal information has a high semantic meaning we propose a method to effectively exploit this signal. For our method we utilize video data since it is available on a large scale and provides easily accessible modalities given by RGB and optical flow. We demonstrate state-of-the-art performance on highly contested action recognition datasets in the context of self-supervised learning. We also show the transferability of our feature representations and conduct extensive ablation studies to validate our core contributions.},
	keywords = {action recognition, cross-modal, image understanding, unsupervised learning},
	url = {https://arxiv.org/abs/1811.03879v1},
	author = {Sayed, N. and Biagio Brattoli and Bj{\"o}rn Ommer}
}
@mastersthesis {6273,
	title = {Deep End-to-End Learning of a Diffusion Process for Seeded Image Segmentation},
	year = {2018},
	school = {Heidelberg University},
	author = {Cerrone, L}
}
@article {6229,
	title = {Deep Unsupervised Learning of Visual Similarities},
	journal = {Pattern Recognition},
	volume = {78},
	year = {2018},
	chapter = {331},
	abstract = {Exemplar learning of visual similarities in an unsupervised manner is a problem of paramount importance to Computer Vision. In this context, however, the recent breakthrough in deep learning could not yet unfold its full potential. With only a single positive sample, a great imbalance between one positive and many negatives, and unreliable relationships between most samples, training of Convolutional Neural networks is impaired. In this paper we use weak estimates of local similarities and propose a single optimization problem to extract batches of samples with mutually consistent relations. Conflicting relations are distributed over different batches and similar samples are grouped into compact groups. Learning visual similarities is then framed as a sequence of categorization tasks. The CNN then consolidates transitivity relations within and between groups and learns a single representation for all samples without the need for labels. The proposed unsupervised approach has shown competitive performance on detailed posture analysis and object classification.},
	doi = {https://doi.org/10.1016/j.patcog.2018.01.036},
	url = {https://authors.elsevier.com/a/1WXUt77nKSb25 },
	author = {Sanakoyeu, A. and Miguel Bautista and Bj{\"o}rn Ommer}
}
@mastersthesis {6252,
	title = {Dictionary Learning with Bayesian GANs for Few-Shot Classification},
	year = {2018},
	school = {Heidelberg University},
	author = {Weilbach, C}
}
@article {6254,
	title = {Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats},
	journal = {Sage Journals},
	volume = { Journal of Cerebral Blood Flow \& Metabolism},
	year = {2018},
	month = {05/18},
	abstract = {The majority of stroke patients develop post-stroke fatigue, a symptom which impairs motivation and diminishes the success of rehabilitative interventions. We show that large cortical strokes acutely reduce activity levels in rats for 1{\textendash}2 weeks as a physiological response paralleled by signs of systemic inflammation. Rats were exposed early (1{\textendash}2 weeks) or late (3{\textendash}4 weeks after stroke) to an individually monitored enriched environment to stimulate self-controlled high-intensity sensorimotor training. A group of animals received Anti-Nogo antibodies for the first two weeks after stroke, a neuronal growth promoting immunotherapy already in clinical trials. Early exposure to the enriched environment resulted in poor outcome: Training intensity was correlated to enhanced systemic inflammation and functional impairment. In contrast, animals starting intense sensorimotor training two weeks after stroke preceded by the immunotherapy revealed better recovery with functional outcome positively correlated to the training intensity and the extent of re-innervation of the stroke denervated cervical hemi-cord. Our results suggest stroke-induced fatigue as a biological purposeful reaction of the organism during neuronal remodeling, enabling new circuit formation which will then be stabilized or pruned in the subsequent rehabilitative training phase. However, intense training too early may lead to wrong connections and is thus less effective.},
	url = {http://journals.sagepub.com/doi/abs/10.1177/0271678X18777661},
	author = {Anna-Sophia Wahl and Erlebach, E. and Biagio Brattoli and Uta B{\"u}chler and Kaiser, J. and Ineichen, V. B. and Alice C. Mosberger and Schneeberger, S. and Imobersteg, S. and Wieckhorst, M. and Stirn, M. and Schroeter, A. and Bj{\"o}rn Ommer and M. E. Schwab}
}
@proceedings {6297,
	title = {End-to-end Learning of Deterministic Decision Trees},
	volume = {LNCS 11269},
	year = {2018},
	pages = {612-627},
	publisher = {Springer},
	doi = {10.1007/978-3-030-12939-2_42},
	author = {Hehn, T and Fred A. Hamprecht}
}
@mastersthesis {6274,
	title = {The Energy Landscape of Deep Neural Networks},
	year = {2018},
	school = {Heidelberg University},
	author = {Draxler, F}
}
@proceedings {6272,
	title = {Essentially No Barriers in Neural Network Energy Landscape},
	volume = {80},
	year = {2018},
	pages = {1308--1317},
	author = {Draxler, F and Veschgini, K and Salmhofer, M and Fred A. Hamprecht}
}
@conference {DBLP:conf/aaai/HallerSS18,
	title = {Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation},
	booktitle = {Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018},
	year = {2018},
	publisher = {AAAI Press},
	organization = {AAAI Press},
	url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16379},
	author = {Stefan Haller and Paul Swoboda and Bogdan Savchynskyy},
	editor = {Sheila A. McIlraith and Kilian Q. Weinberger}
}
@article {6141,
	title = {Fast median filtering for phase or orientation data},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {40},
	year = {2018},
	month = {03/2018},
	pages = {639{\textendash}652},
	doi = {10.1109/TPAMI.2017.2692779},
	author = {Martin Storath and Andreas Weinmann}
}
@article {6271,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {preprint: ArXiv},
	year = {2018},
	url = {https://arxiv.org/pdf/1805.07272.pdf},
	author = {Rathke, F. and Schn{\"o}rr, Cl.}
}
@article {Rathke:2018aa,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {preprint: arXiv},
	year = {2018},
	url = {https://arxiv.org/pdf/1805.07272.pdf},
	author = {Rathke, F. and Schn{\"o}rr, C.}
}
@article {fortun2018fast,
	title = {Fast Piecewise-Affine Motion Estimation Without Segmentation},
	journal = {IEEE Transactions on Image Processing},
	volume = {27 },
	year = {2018},
	pages = {5612 - 5624},
	author = {Denis Fortun and Martin Storath and Dennis Rickert and Andreas Weinmann and Michael Unser}
}
@conference {Zern:2018aa,
	title = {Geometric Image Labeling with Global Convex Labeling Constraints},
	booktitle = {EMMCVPR},
	series = {LNCS},
	volume = {10746},
	year = {2018},
	pages = {533{\textendash}547},
	author = {Zern, A. and Rohr, K. and Schn{\"o}rr, C.}
}
@proceedings {6309,
	title = {Geometric Image Synthesis},
	year = {2018},
	author = {Hassan Abu Alhaija and Mustikovela, S K and Geiger, A and Carsten Rother}
}
@article {Zeilmann:2018aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {preprint: arXiv},
	year = {2018},
	url = {https://arxiv.org/abs/1810.06970},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@article {6266,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {11},
	year = {2018},
	pages = {1317-1362},
	doi = {10.1137/17M1150669},
	author = {H{\"u}hnerbein, R and Savarino, F and Freddie Astr{\"o}m and Schn{\"o}rr, C}
}
@article {Huhnerbein:2018aa,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	journal = {SIAM J. Imaging Science},
	volume = {11},
	number = {2},
	year = {2018},
	pages = {1317{\textendash}1362},
	url = {https://epubs.siam.org/doi/abs/10.1137/17M1150669},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@conference {buechler:ECCV:2018,
	title = {Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning},
	booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
	year = {2018},
	publisher = {(UB and BB  contributed equally)},
	organization = {(UB and BB  contributed equally)},
	address = {Munich, Germany},
	abstract = {Self-supervised learning of convolutional neural networks can harness large amounts of cheap unlabeled data to train powerful feature representations. As surrogate task, we jointly address ordering of visual data in the spatial and temporal domain. The permutations of training samples, which are at the core of self-supervision by ordering, have so far been sampled randomly from a fixed preselected set. Based on deep reinforcement learning we propose a sampling policy that adapts to the state of the network, which is being trained. Therefore, new permutations are sampled according to their expected utility for updating the convolutional feature representation. Experimental evaluation on unsupervised and transfer learning tasks demonstrates competitive performance on standard benchmarks for image and video classification and nearest neighbor retrieval.},
	keywords = {action recognition, deep reinforcement learning, image understanding, self-supervision, shuffling},
	author = {Uta B{\"u}chler and Biagio Brattoli and Bj{\"o}rn Ommer}
}
@article {kunz2018,
	title = {Investigating small scale air-sea exchange processes via thermography},
	journal = {Front. Mech. Eng.},
	volume = {26},
	year = {2018},
	doi = {10.3389/fmech.2018.00004},
	author = {Jakob Kunz and Bernd J{\"a}hne}
}
@proceedings {6310,
	title = {iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects},
	year = {2018},
	author = {Omid Hosseini Jafari and Mustikovela, S K and Pertsch, K and E Brachmann and Carsten Rother}
}
@mastersthesis {6242,
	title = {Learnability of Approximated Graph Cut Segmentation},
	year = {2018},
	school = {Heidelberg University},
	author = {Schimmel, F}
}
@conference {Brachmann2018,
	title = {Learning Less is More - 6D Camera Localization via 3D Surface Regression},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2018},
	month = {nov},
	pages = {4654{\textendash}4662},
	abstract = {Popular research areas like autonomous driving and augmented reality have renewed the interest in image-based camera localization. In this work, we address the task of predicting the 6D camera pose from a single RGB image in a given 3D environment. With the advent of neural networks, previous works have either learned the entire camera localization process, or multiple components of a camera localization pipeline. Our key contribution is to demonstrate and explain that learning a single component of this pipeline is sufficient. This component is a fully convolutional neural network for densely regressing so-called scene coordinates, defining the correspondence between the input image and the 3D scene space. The neural network is prepended to a new end-to-end trainable pipeline. Our system is efficient, highly accurate, robust in training, and exhibits outstanding generalization capabilities. It exceeds state-of-the-art consistently on indoor and outdoor datasets. Interestingly, our approach surpasses existing techniques even without utilizing a 3D model of the scene during training, since the network is able to discover 3D scene geometry automatically, solely from single-view constraints.},
	isbn = {9781538664209},
	issn = {10636919},
	doi = {10.1109/CVPR.2018.00489},
	url = {http://arxiv.org/abs/1711.10228},
	author = {Brachmann, Eric and Carsten Rother}
}
@proceedings {6234,
	title = {Learning Steerable Filters for Rotation Equivariant CNNs},
	year = {2018},
	pages = {849-858},
	doi = {10.1109/CVPR.2018.00095},
	author = {Maurice Weiler and Fred A. Hamprecht and Martin Storath}
}
@conference {6250,
	title = {Learning to Forecast Pedestrian Intention from Pose Dynamics},
	booktitle = {Intelligent Vehicles, IEEE, 2018},
	year = {2018},
	author = {Omar Ghori and Radek Mackowiak and Miguel Bautista and Niklas Beuter and Lucas Drumond and Ferran Diego and Bj{\"o}rn Ommer}
}
@article {erb2017mathematical,
	title = {Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging},
	journal = {Inverse Problems},
	volume = {34},
	year = {2018},
	author = {Erb, Wolfgang and Andreas Weinmann and Ahlborg, Mandy and Christina Brandt and Bringout, Gael and Buzug, Thorsten M and Frikel, J{\"u}rgen and Kaethner, Christian and Tobias Knopp and M{\"a}rz, Thomas and M{\"o}ddel, Martin and Martin Storath and Alexander Weber}
}
@article {Shekhovtsov2018,
	title = {Maximum Persistency via Iterative Relaxed Inference in Graphical Models},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {40},
	number = {7},
	year = {2018},
	pages = {1668{\textendash}1682},
	abstract = {We consider the NP-hard problem of MAP-inference for undirected discrete graphical models. We propose a polynomial time and practically efficient algorithm for finding a part of its optimal solution. Specifically, our algorithm marks some labels of the considered graphical model either as (i) optimal, meaning that they belong to all optimal solutions of the inference problem; (ii) non-optimal if they provably do not belong to any solution. With access to an exact solver of a linear programming relaxation to the MAP-inference problem, our algorithm marks the maximal possible (in a specified sense) number of labels. We also present a version of the algorithm, which has access to a suboptimal dual solver only and still can ensure the (non-)optimality for the marked labels, although the overall number of the marked labels may decrease. We propose an efficient implementation, which runs in time comparable to a single run of a suboptimal dual solver. Our method is well-scalable and shows state-of-the-art results on computational benchmarks from machine learning and computer vision.},
	keywords = {discrete optimization, energy minimization, graphical models, LP relaxation, partial optimality, persistency, WCSP},
	issn = {01628828},
	doi = {10.1109/TPAMI.2017.2730884},
	url = {http://www.icg.tugraz.at/},
	author = {Shekhovtsov, Alexander and Swoboda, Paul and Savchynskyy, Bogdan}
}
@article {6221,
	title = {Model-based learning of local image features for unsupervised texture segmentation},
	journal = {IEEE Transactions on Image Processing},
	volume = {27},
	year = {2018},
	pages = {1994-2007},
	author = {Martin Kiechle and Martin Storath and Andreas Weinmann and Martin Kleinsteuber}
}
@conference {Tourani2018,
	title = {MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11208 LNCS},
	year = {2018},
	pages = {264{\textendash}281},
	abstract = {Dense, discrete Graphical Models with pairwise potentials are a powerful class of models which are employed in state-of-the-art computer vision and bio-imaging applications. This work introduces a new MAP-solver, based on the popular Dual Block-Coordinate Ascent principle. Surprisingly, by making a small change to a low-performing solver, the Max Product Linear Programming (MPLP) algorithm [7], we derive the new solver MPLP++ that significantly outperforms all existing solvers by a large margin, including the state-of-the-art solver Tree-Reweighted Sequential (TRW-S) message-passing algorithm [17]. Additionally, our solver is highly parallel, in contrast to TRW-S, which gives a further boost in performance with the proposed GPU and multi-thread CPU implementations. We verify the superiority of our algorithm on dense problems from publicly available benchmarks as well as a new benchmark for 6D Object Pose estimation. We also provide an ablation study with respect to graph density.},
	keywords = {Block-Coordinate-Ascent, graphical models, Message passing algorithms},
	isbn = {9783030012243},
	issn = {16113349},
	doi = {10.1007/978-3-030-01225-0_16},
	author = {Tourani, Siddharth and Shekhovtsov, Alexander and Carsten Rother and Savchynskyy, Bogdan}
}
@phdthesis {6257,
	title = {Multicut Algorithms for Neurite Segmentation},
	year = {2018},
	publisher = {Heidelberg University},
	author = {Thorsten Beier}
}
@proceedings {6275,
	title = {The Mutex Watershed: Efficient, Parameter-Free Image   Partitioning},
	year = {2018},
	pages = {571-587},
	publisher = {Springer},
	doi = {10.1007/978-3-030-01225-0_34},
	author = {Wolf, S and Pape, C and Bailoni, A and Rahaman, N and Kreshuk, A. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Wolf2018,
	title = {The Mutex Watershed: Efficient, Parameter-Free Image Partitioning},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11208 LNCS},
	year = {2018},
	month = {apr},
	pages = {571{\textendash}587},
	abstract = {Image partitioning, or segmentation without semantics, is the task of decomposing an image into distinct segments; or equivalently, the task of detecting closed contours in an image. Most prior work either requires seeds, one per segment; or a threshold; or formulates the task as an NP-hard signed graph partitioning problem. Here, we propose an algorithm with empirically linearithmic complexity. Unlike seeded watershed, the algorithm can accommodate not only attractive but also repulsive cues, allowing it to find a previously unspecified number of segments without the need for explicit seeds or a tunable threshold. The algorithm itself, which we dub {\textquotedblleft}Mutex Watershed{\textquotedblright}, is closely related to a minimal spanning tree computation. It is deterministic and easy to implement. When presented with short-range attractive and long-range repulsive cues from a deep neural network, the Mutex Watershed gives results that currently define the state-of-the-art in the competitive ISBI 2012 EM segmentation benchmark. These results are also better than those obtained from other recently proposed clustering strategies operating on the very same network outputs.},
	isbn = {9783030012243},
	issn = {16113349},
	doi = {10.1007/978-3-030-01225-0_34},
	url = {http://arxiv.org/abs/1904.12654},
	author = {Wolf, Steffen and Pape, Constantin and Bailoni, Alberto and Rahaman, Nasim and Kreshuk, Anna and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {6283,
	title = {Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods},
	journal = {Arts, Computational Aesthetics},
	volume = {7, 64},
	year = {2018},
	month = {10/2018},
	chapter = {1-21},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@proceedings {6284,
	title = {Reflecting on How Artworks Are Processed and Analyzed by Computer Vision},
	year = {2018},
	publisher = {Springer},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@conference {vianello2018,
	title = {Robust Hough transform based 3D reconstruction from circular light fields},
	booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2018},
	doi = {10.1109/CVPR.2018.00765},
	author = {Alessandro Vianello and Jens Ackermann and Maximilian Diebold and Bernd J{\"a}hne}
}
@conference {Kostrykin:2018aa,
	title = {Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming},
	booktitle = {Proc. ISBI},
	year = {2018},
	author = {Kostrykin, L. and Schn{\"o}rr, C. and Rohr, K.}
}
@mastersthesis {6245,
	title = {Semantic Segmentation of Urban Scenes Using Deep Learning},
	year = {2018},
	school = {Heidelberg University},
	author = {Kawetzki, D}
}
@article {6314,
	title = {On the spectral bias of deep neural networks},
	journal = {arXiv preprint arXiv:1806.08734},
	year = {2018},
	author = {Rahaman, N and Arpit, D and Baratin, A and Draxler, F and Lin, M and Fred A. Hamprecht and Bengio, Y and Courville, A}
}
@conference {style_aware_content_loss_eccv18,
	title = {A Style-Aware Content Loss for Real-time HD Style Transfer},
	booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) (Oral)},
	year = {2018},
	abstract = {Recently, style transfer has received a lot of attention. While much of this research has aimed at speeding up processing, the approaches are still lacking from a principled, art historical standpoint: a style is more than just a single image or an artist, but previous work is limited to only a single instance of a style or shows no benefit from more images. Moreover, previous work has relied on a direct comparison of art in the domain of RGB images or on CNNs pre-trained on ImageNet, which requires millions of labeled object bounding boxes and can introduce an extra bias, since it has been assembled without artistic consideration. To circumvent these issues, we propose a style-aware content loss, which is trained jointly with a deep encoder-decoder network for real-time, high-resolution stylization of images and videos. We propose a quantitative measure for evaluating the quality of a stylized image and also have art historians rank patches from our approach against those from previous work. These and our qualitative results ranging from small image patches to megapixel stylistic images and videos show that our approach better captures the subtle nature in which a style affects content.
},
	keywords = {deep learning, generative network, Style transfer},
	author = {Sanakoyeu, A. and Dmytro Kotovenko and Sabine Lang and Bj{\"o}rn Ommer}
}
@techreport {6415,
	title = {A Supplementary Material CEREALS-Cost-Effective REgion-based Active Learning for Semantic Segmentation},
	year = {2018},
	abstract = {A.1 Implementation Details Instead of cropping the annotated regions out of the images, while taking into account their receptive field in input space, we instead mask out all currently unlabeled data in output space, making sure that no loss is computed on unlabeled data when learning the semantic segmentation model nor when learning the cost model. We then perform an image-based training, from unprocessed input images to spatial label maps. However, our practical implementation of CEREALS, which will be made publicly available is supporting both options. For training the utilized models we use Adam as our optimizer with learning rate, alpha and beta set to 0.0001, 0.99 and 0.999 respectively. Furthermore, we claim convergence whenever a model hasn{\textquoteright}t improved regarding the application loss for at least 10 epochs. We train with the mini-batch size set to 1, such that a gradient step is always being applied w.r.t. one full resolution image of Cityscapes. Semantic Segmentation Model We do not train the employed model in stages, but directly optimize for FCN8s. Regarding the training performed on the full training set of Cityscapes, we report a mean intersection over union (mIoU) of 0.605 which is, as all other results, computed on the full validation dataset of Cityscapes. Note, that the original model achieves a mIoU of 0.65 and that we are able to reproduce this result when the width multiplier is set to 1.0, despite all other changes. Though we utilized this particular model, CEREALS can use any model producing semantic segmentation masks as long as it provides probability distributions regarding it{\textquoteright}s posterior outcome. The cost model however, would need to be adapted or made independent of the semantic segmentation model in such a case. Cost Model The only change we made to the original model{\textquoteright}s architecture is to replace it{\textquoteright}s softmax activation with a linear activation layer. We trained the model towards minimizing the mean squared error of predicted and ground truth clicks. Since we observed some pixels to have unrealistically many clicks in the ground truth data, we clipped the values to be in [0, 10] range allowing a maximum of 10 ground truth clicks per pixel. As the semantic segmentation model, the cost model doesn{\textquoteright}t have any upsampling layer at the end, in order to allow for faster trainings. We instead downscale the provided click data by a factor of 8.}
}
@article {bredies2017total,
	title = {Total Generalized Variation for Manifold-valued Data},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {11},
	year = {2018},
	pages = {1785 - 1848},
	author = {Kristian Bredies and Martin Holler and Martin Storath and Andreas Weinmann}
}
@conference {6282,
	title = {Towards Learning a Realistic Rendering of Human Behavior},
	booktitle = {European Conference on Computer Vision (ECCV - HBUGEN)},
	year = {2018},
	abstract = {Realistic rendering of human behavior is of great interest for applications such as video animations, virtual reality and more generally, gaming engines. Commonly animations of persons performing actions are rendered by articulating explicit 3D models based on sequences of coarse body shape representations simulating a certain behavior. While the simulation of natural behavior can be efficiently learned from common video data, the corresponding 3D models are typically designed in manual, laborious processes or reconstructed from costly (multi-)sensor data. In this work, we present an approach towards a holistic learning framework for rendering human behavior in which all components are learned from easily available data. We utilize motion capture data to generate realistic generations which can be controlled by a user and learn to render characters using only RGB camera data. Our experiments show that we can further improve data efficiency by training on multiple characters at the same time. Overall our approach shows a completely new path towards easily available, personalized avatar creation.},
	author = {Patrick Esser and Johannes Haux and Timo Milbich and Bj{\"o}rn Ommer}
}
@proceedings {6267,
	title = {Trust your Model: Light Field Depth Estimation with inline Occlusion Handling},
	year = {2018},
	doi = {10.1109/CVPR.2018.00476},
	author = {Hendrik Schilling and Maximilian Diebold and Carsten Rother and Bernd J{\"a}hne}
}
@conference {Schilling2018,
	title = {Trust your Model: Light Field Depth Estimation with Inline Occlusion Handling},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2018},
	pages = {4530{\textendash}4538},
	abstract = {We address the problem of depth estimation from light-field images. Our main contribution is a new way to handle occlusions which improves general accuracy and quality of object borders. In contrast to all prior work we work with a model which directly incorporates both depth and occlusion, using a local optimization scheme based on the PatchMatch algorithm. The key benefit of this joint approach is that we utilize all available data, and not erroneously discard valuable information in pre-processing steps. We see the benefit of our approach not only at improved object boundaries, but also at smooth surface reconstruction, where we outperform even methods which focus on good surface regularization. We have evaluated our method on a public light-field dataset, where we achieve state-of-the-art results in nine out of twelve error metrics, with a close tie for the remaining three.},
	isbn = {9781538664209},
	issn = {10636919},
	doi = {10.1109/CVPR.2018.00476},
	author = {Schilling, Hendrik and Maximilian Diebold and Carsten Rother and Bernd J{\"a}hne}
}
@proceedings {6311,
	title = {Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment},
	year = {2018},
	pages = {698-713},
	doi = {10.1007/978-3-030-12939-2_48},
	author = {Zern, A and M. Zisler and Freddie Astr{\"o}m and Petra, S and Schn{\"o}rr, C}
}
@conference {Zern:2018ac,
	title = {Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment},
	booktitle = {GCPR},
	year = {2018},
	author = {Zern, A. and M. Zisler and Astr{\"o}m, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {6249,
	title = {A Variational U-Net for Conditional Appearance and Shape Generation},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral)},
	year = {2018},
	abstract = {Deep generative models have demonstrated great performance in image synthesis. However, results deteriorate in case of spatial deformations, since they generate images of objects directly, rather than modeling the intricate interplay of their inherent shape and appearance. We present a conditional U-Net for shape-guided image generation, conditioned on the output of a variational autoencoder for appearance. The approach is trained end-to-end on images, without requiring samples of the same object with varying pose or appearance. Experiments show that the model enables conditional image generation and transfer. Therefore, either shape or appearance can be retained from a query image, while freely altering the other. Moreover, appearance can be sampled due to its stochastic latent representation, while preserving shape. In quantitative and qualitative experiments on COCO, DeepFashion, shoes, Market-1501 and handbags, the approach demonstrates significant improvements over the state-of-the-art.},
	url = {https://compvis.github.io/vunet/},
	author = {Patrick Esser and Ekaterina Sutter and Bj{\"o}rn Ommer}
}
@mastersthesis {roth2018,
	title = {Visualization of Near-Surface Flow Patterns for Air-Water Gas Transfer},
	year = {2018},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersMaster{\textquoteright}s thesis},
	doi = {10.11588/heidok.00024623},
	author = {Roth, Nicolas}
}
@conference {blum:GCPR:2018,
	title = {X-GAN: Improving Generative Adversarial Networks with ConveX Combinations},
	booktitle = {German Conference on Pattern Recognition (GCPR) (Oral)},
	year = {2018},
	address = {Stuttgart, Germany},
	abstract = {Even though recent neural architectures for image generation are capable of producing photo-realistic results, the overall distributions of real and faked images still differ a lot. While the lack of a structured latent representation for GANs often results in mode collapse, VAEs enforce a prior to the latent space that leads to an unnatural representation of the underlying real distribution. We introduce a method that preserves the natural structure of the latent manifold. By utilizing neighboring relations within the set of discrete real samples, we reproduce the full continuous latent manifold. We propose a novel image generation network X-GAN that creates latent input vectors from random convex combinations of adjacent real samples. This way we ensure a structured and natural latent space by not requiring prior assumptions. In our experiments, we show that our model outperforms recent approaches in terms of the missing mode problem while maintaining a high image quality.},
	keywords = {deep learning, generative adversarial network, generative model, variational auto-encoder},
	author = {Blum, O. and Biagio Brattoli and Bj{\"o}rn Ommer}
}
@article {Vianello-etal-2017-TM,
	title = {3D reconstruction by a combined structure tensor and Hough transform light field approach},
	journal = {tm - Technisches Messen},
	year = {2017},
	abstract = {Disparity estimation using the structure tensor is a local approach to determine orientation in Epipolar Plane Images. A global extension would lead to more precise and robust estimations. In this work, a novel algorithm for 3D reconstruction from linear light fields is proposed. This method uses a modified version of the Progressive Probabilistic Hough Transform to extract orientations from Epipolar Plane Images, allowing to achieve high quality disparity maps. To this aim, the structure tensor estimates are used to speed up computation and improve the disparity estimation near occlusion boundaries. The new algorithm is evaluated on both synthetic and real light field datasets, and compared with classical local disparity estimation techniques based on the structure tensor.},
	doi = {10.1515/teme-2017-0010},
	author = {Alessandro Vianello and Giulio Manfredi and Maximilian Diebold and Bernd J{\"a}hne}
}
@article {6180,
	title = {Active machine learning for training an event classification},
	journal = {Patent, Patent Number WO2017032775 A1},
	year = {2017},
	author = {Kandemir, M. and Fred A. Hamprecht and Wojek, C. and Schmidt, U.}
}
@phdthesis {kunz2017,
	title = {Active Thermography as a Tool for the Estimation of Air-Water Transfer Velocities},
	volume = {Dissertation},
	year = {2017},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phd},
	doi = {10.11588/heidok.00022903},
	author = {Jakob Kunz}
}
@conference {Jafari2017,
	title = {Analyzing modular CNN architectures for joint depth prediction and semantic segmentation},
	booktitle = {Proceedings - IEEE International Conference on Robotics and Automation},
	year = {2017},
	month = {feb},
	pages = {4620{\textendash}4627},
	abstract = {This paper addresses the task of designing a modular neural network architecture that jointly solves different tasks. As an example we use the tasks of depth estimation and semantic segmentation given a single RGB image. The main focus of this work is to analyze the cross-modality influence between depth and semantic prediction maps on their joint refinement. While most of the previous works solely focus on measuring improvements in accuracy, we propose a way to quantify the cross-modality influence. We show that there is a relationship between final accuracy and cross-modality influence, although not a simple linear one. Hence a larger cross-modality influence does not necessarily translate into an improved accuracy. We find that a beneficial balance between the cross-modality influences can be achieved by network architecture and conjecture that this relationship can be utilized to understand different network design choices. Towards this end we propose a Convolutional Neural Network (CNN) architecture that fuses the state-of-the-art results for depth estimation and semantic labeling. By balancing the cross-modality influences between depth and semantic prediction, we achieve improved results for both tasks using the NYU-Depth v2 benchmark.},
	isbn = {9781509046331},
	issn = {10504729},
	doi = {10.1109/ICRA.2017.7989537},
	url = {http://arxiv.org/abs/1702.08009 http://dx.doi.org/10.1109/ICRA.2017.7989537},
	author = {Omid Hosseini Jafari and Groth, Oliver and Kirillov, Alexander and Yang, Michael Ying and Carsten Rother}
}
@mastersthesis {holtmann2017,
	title = {Aufbau eines aktiven Thermographiesystems zur Messung des Geschwindigkeitsgradienten in der windgetriebenen wasserseitigen viskosen Grenzschicht},
	year = {2017},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersBachelor{\textquoteright}s thesis},
	doi = {10.11588/heidok.00023754},
	author = {Leonard Gerhard Holtmann}
}
@conference {Alhaija2017,
	title = {Augmented reality meets deep learning for car instance segmentation in urban scenes},
	booktitle = {British Machine Vision Conference 2017, BMVC 2017},
	year = {2017},
	abstract = {The success of deep learning in computer vision is based on the availability of large annotated datasets. To lower the need for hand labeled images, virtually rendered 3D worlds have recently gained popularity. Unfortunately, creating realistic 3D content is challenging on its own and requires significant human effort. In this work, we propose an alternative paradigm which combines real and synthetic data for learning semantic instance segmentation models. Exploiting the fact that not all aspects of the scene are equally important for this task, we propose to augment real-world imagery with virtual objects of the target category. Capturing real-world images at large scale is easy and cheap, and directly provides real background appearances without the need for creating complex 3D models of the environment. We present an efficient procedure to augment these images with virtual objects. This allows us to create realistic composite images which exhibit both realistic background appearance as well as a large number of complex object arrangements. In contrast to modeling complete 3D environments, our data augmentation approach requires only a few user interactions in combination with 3D shapes of the target object category. We demonstrate the utility of the proposed approach for training a state-of-the-art high-capacity deep model for semantic instance segmentation. In particular, we consider the task of segmenting car instances on the KITTI dataset which we have annotated with pixel-accurate ground truth. Our experiments demonstrate that models trained on augmented imagery generalize better than those trained on synthetic data or models trained on limited amounts of annotated real data.},
	isbn = {190172560X},
	author = {Hassan Abu Alhaija and Mustikovela, Siva Karthik and Mescheder, Lars and Geiger, Andreas and Carsten Rother}
}
@conference {Behl2017,
	title = {Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2017-Octob},
	year = {2017},
	pages = {2593{\textendash}2602},
	abstract = {Existing methods for 3D scene flow estimation often fail in the presence of large displacement or local ambiguities, e.g., at texture-less or reflective surfaces. However, these challenges are omnipresent in dynamic road scenes, which is the focus of this work. Our main contribution is to overcome these 3D motion estimation problems by exploiting recognition. In particular, we investigate the importance of recognition granularity, from coarse 2D bounding box estimates over 2D instance segmentations to fine-grained 3D object part predictions. We compute these cues using CNNs trained on a newly annotated dataset of stereo images and integrate them into a CRF-based model for robust 3D scene flow estimation - an approach we term Instance Scene Flow. We analyze the importance of each recognition cue in an ablation study and observe that the instance segmentation cue is by far strongest, in our setting. We demonstrate the effectiveness of our method on the challenging KITTI 2015 scene flow benchmark where we achieve state-of-the-art performance at the time of submission.},
	isbn = {9781538610329},
	issn = {15505499},
	doi = {10.1109/ICCV.2017.281},
	author = {Behl, Aseem and Omid Hosseini Jafari and Mustikovela, Siva Karthik and Hassan Abu Alhaija and Carsten Rother and Geiger, Andreas}
}
@conference {Behl2017a,
	title = {Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2017-Octob},
	year = {2017},
	pages = {2593{\textendash}2602},
	abstract = {Existing methods for 3D scene flow estimation often fail in the presence of large displacement or local ambiguities, e.g., at texture-less or reflective surfaces. However, these challenges are omnipresent in dynamic road scenes, which is the focus of this work. Our main contribution is to overcome these 3D motion estimation problems by exploiting recognition. In particular, we investigate the importance of recognition granularity, from coarse 2D bounding box estimates over 2D instance segmentations to fine-grained 3D object part predictions. We compute these cues using CNNs trained on a newly annotated dataset of stereo images and integrate them into a CRF-based model for robust 3D scene flow estimation - an approach we term Instance Scene Flow. We analyze the importance of each recognition cue in an ablation study and observe that the instance segmentation cue is by far strongest, in our setting. We demonstrate the effectiveness of our method on the challenging KITTI 2015 scene flow benchmark where we achieve state-of-the-art performance at the time of submission.},
	isbn = {9781538610329},
	issn = {15505499},
	doi = {10.1109/ICCV.2017.281},
	author = {Behl, Aseem and Omid Hosseini Jafari and Mustikovela, Siva Karthik and Hassan Abu Alhaija and Carsten Rother and Geiger, Andreas}
}
@mastersthesis {flothow2017,
	title = {Bubble Characteristics from Breaking Waves in Fresh Water and Simulated Seawater},
	year = {2017},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersMaster{\textquoteright}s thesis},
	doi = {10.11588/heidok.00023754},
	author = {Leonie Flothow}
}
@mastersthesis {6177,
	title = {Cluster Resolving for Animal Tracking: Multi Hypotheses Tracking with Part Based Model for Object Hypotheses Generation and Pose Estimation},
	year = {2017},
	school = {University of Heidelberg},
	author = {Brosowsky, M}
}
@conference {Dalitz2017,
	title = {Compressed Motion Sensing},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Dalitz, R. and Petra, S. and Schn{\"o}rr, C.}
}
@mastersthesis {6326,
	title = {Correlation of Performance and Entropy in Active Learning with Convolutional Neural Networks},
	year = {2017},
	school = {Heidelberg University},
	author = {Krause, G}
}
@proceedings {6204,
	title = {Cost-efficient Gradient Boosting},
	year = {2017},
	author = {Peter, S. and Ferran Diego and Fred A. Hamprecht and Nadler, B}
}
@conference {Schlesinger2017,
	title = {Crowd sourcing image segmentation with iaSTAPLE},
	booktitle = {Proceedings - International Symposium on Biomedical Imaging},
	year = {2017},
	pages = {401{\textendash}405},
	abstract = {We propose a novel label fusion technique as well as a crowdsourcing protocol to efficiently obtain accurate epithelial cell segmentations from non-expert crowd workers. Our label fusion technique simultaneously estimates the true segmentation, the performance levels of individual crowd workers, and an image segmentation model in the form of a pairwise Markov random field. We term our approach image-aware STAPLE (iaSTAPLE) since our image segmentation model seamlessly integrates into the well-known and widely used STAPLE approach. In an evaluation on a light microscopy dataset containing more than 5000 membrane labeled epithelial cells of a fly wing, we show that iaSTAPLE outperforms STAPLE in terms of segmentation accuracy as well as in terms of the accuracy of estimated crowd worker performance levels, and is able to correctly segment 99\% of all cells when compared to expert segmentations. These results show that iaSTAPLE is a highly useful tool for crowd sourcing image segmentation.},
	keywords = {Crowdsourcing, Epithelial cell segmentation, IaSTAPLE, Markovian Random Fields},
	isbn = {9781509011711},
	issn = {19458452},
	doi = {10.1109/ISBI.2017.7950547},
	author = {Schlesinger, Dmitrij and Jug, Florian and Myers, Gene and Carsten Rother and Kainmueller, Dagmar}
}
@conference {6136,
	title = {Deep Semantic Feature Matching},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2017},
	author = {Nikolai Ufer and Bj{\"o}rn Ommer}
}
@conference {6200,
	title = {Deep Unsupervised Similarity Learning using Partially Ordered Sets},
	booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2017},
	author = {Miguel Bautista and Sanakoyeu, A. and Bj{\"o}rn Ommer}
}
@article {schilling2017,
	title = {On the design of a fractal calibration pattern for improved camera calibration},
	journal = {tm - Technisches Messen},
	volume = {84},
	year = {2017},
	pages = {440{\textendash}451},
	doi = {10.1515/teme-2017-0013},
	author = {Hendrik Schilling and Maximilian Diebold and Marcel Gutsche and Bernd J{\"a}hne}
}
@conference {Ramos2017,
	title = {Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling},
	booktitle = {IEEE Intelligent Vehicles Symposium, Proceedings},
	year = {2017},
	month = {dec},
	pages = {1025{\textendash}1032},
	abstract = {The detection of small road hazards, such as lost cargo, is a vital capability for self-driving cars. We tackle this challenging and rarely addressed problem with a vision system that leverages appearance, contextual as well as geometric cues. To utilize the appearance and contextual cues, we propose a new deep learning-based obstacle detection framework. Here a variant of a fully convolutional network is proposed to predict a pixel-wise semantic labeling of (i) free-space, (ii) on-road unexpected obstacles, and (iii) background. The geometric cues are exploited using a state-of-The-Art detection approach that predicts obstacles from stereo input images via model-based statistical hypothesis tests. We present a principled Bayesian framework to fuse the semantic and stereo-based detection results. The mid-level Stixel representation is used to describe obstacles in a flexible, compact and robust manner. We evaluate our new obstacle detection system on the Lost and Found dataset, which includes very challenging scenes with obstacles of only 5 cm height. Overall, we report a major improvement over the state-of-The-Art, with a performance gain of 27.4\%. In particular, we achieve a detection rate of over 90\% for distances of up to 50 m. Our system operates at 22 Hz on our self-driving platform.},
	isbn = {9781509048045},
	doi = {10.1109/IVS.2017.7995849},
	url = {http://arxiv.org/abs/1612.06573},
	author = {Ramos, Sebastian and Gehrig, Stefan and Pinggera, Peter and Franke, Uwe and Carsten Rother}
}
@proceedings {6182,
	title = {Diverse M-best Solutions by Dynamic Programming},
	volume = {LNCS 10496},
	year = {2017},
	pages = {255-267},
	publisher = {Springer},
	doi = {10.1007/978-3-319-66709-6_21},
	author = {Haubold, C. and Uhlmann, V and Michael Unser and Fred A. Hamprecht}
}
@article {6209,
	title = {Diverse Shortest Paths for Bioimage Analysis},
	journal = {Bioinformatics},
	year = {2017},
	pages = {1-3},
	doi = {10.1093/bioinformatics/btx621},
	author = {Uhlmann, V and Haubold, C. and Fred A. Hamprecht and Michael Unser}
}
@conference {Brachmann2017,
	title = {DSAC - Differentiable RANSAC for camera localization},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	month = {nov},
	pages = {2492{\textendash}2500},
	abstract = {RANSAC is an important algorithm in robust optimization and a central building block for many computer vision applications. In recent years, traditionally hand-crafted pipelines have been replaced by deep learning pipelines, which can be trained in an end-to-end fashion. However, RANSAC has so far not been used as part of such deep learning pipelines, because its hypothesis selection procedure is non-differentiable. In this work, we present two different ways to overcome this limitation. The most promising approach is inspired by reinforcement learning, namely to replace the deterministic hypothesis selection by a probabilistic selection for which we can derive the expected loss w.r.t. to all learnable parameters. We call this approach DSAC, the differentiable counterpart of RANSAC. We apply DSAC to the problem of camera localization, where deep learning has so far failed to improve on traditional approaches. We demonstrate that by directly minimizing the expected loss of the output camera poses, robustly estimated by RANSAC, we achieve an increase in accuracy. In the future, any deep learning pipeline can use DSAC as a robust optimization component.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.267},
	url = {http://arxiv.org/abs/1611.05705},
	author = {Brachmann, Eric and Krull, Alexander and Nowozin, Sebastian and Shotton, Jamie and Michel, Frank and Gumhold, Stefan and Carsten Rother}
}
@article {storath2016edge,
	title = {Edge preserving and noise reducing reconstruction for magnetic particle imaging},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {36},
	year = {2017},
	pages = {74 - 85},
	doi = {10.1109/TMI.2016.2593954},
	author = {Martin Storath and Christina Brandt and Martin Hofmann and Tobias Knopp and Johannes~Salamon and Alexander Weber and Andreas Weinmann}
}
@article {storath2016fast,
	title = {Fast segmentation from blurred data in {3D} fluorescence microscopy},
	journal = {IEEE Transactions on Image Processing},
	volume = {26},
	year = {2017},
	month = {06/2017},
	chapter = { 4856 - 4870},
	doi = {10.1109/TIP.2017.2716843},
	author = {Martin Storath and Dennis Rickert and Michael Unser and Andreas Weinmann}
}
@article {Astroem2017b,
	title = {A Geometric Approach for Color Image Regularization},
	journal = {Comp. Vision Image Understanding},
	volume = {165},
	year = {2017},
	pages = {43{\textendash}59},
	url = {https://doi.org/10.1016/j.cviu.2017.10.013},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@conference {Zern2017,
	title = {Geometric Image Labeling with Global Convex Labeling Constraints},
	booktitle = {Proc. EMMCVPR},
	year = {2017},
	note = {to appear},
	author = {Zern, A. and Rohr, K. and Schn{\"o}rr, C.}
}
@conference {Michel2017,
	title = {Global hypothesis generation for 6D object pose estimation},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	month = {dec},
	pages = {115{\textendash}124},
	abstract = {This paper addresses the task of estimating the 6D pose of a known 3D object from a single RGB-D image. Most modern approaches solve this task in three steps: i) Compute local features; ii) Generate a pool of pose-hypotheses; iii) Select and refine a pose from the pool. This work focuses on the second step. While all existing approaches generate the hypotheses pool via local reasoning, e.g. RANSAC or Hough-voting, we are the first to show that global reasoning is beneficial at this stage. In particular, we formulate a novel fully-connected Conditional Random Field (CRF) that outputs a very small number of pose-hypotheses. Despite the potential functions of the CRF being non-Gaussian, we give a new and efficient two-step optimization procedure, with some guarantees for optimality. We utilize our global hypotheses generation procedure to produce results that exceed state-of-the-art for the challenging "Occluded Object Dataset".},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.20},
	url = {http://arxiv.org/abs/1612.02287},
	author = {Michel, Frank and Kirillov, Alexander and Brachmann, Eric and Krull, Alexander and Gumhold, Stefan and Savchynskyy, Bogdan and Carsten Rother}
}
@conference {Zisler2017a,
	title = {Gradient Flows on a Riemannian Submanifold for Discrete Tomography},
	booktitle = {Proc. GCPR},
	year = {2017},
	author = {M. Zisler and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@booklet {Huehnerbein2017,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	year = {2017},
	note = {arXiv, preprint},
	month = {Oct},
	url = {http://arxiv.org/abs/1710.01493},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@article {Astroem2017,
	title = {Image Labeling by Assignment},
	journal = {J. Math. Imag. Vision},
	volume = {58},
	number = {2},
	year = {2017},
	pages = {211{\textendash}238},
	url = {Papers/Astroem2017.pdf},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@conference {Zisler2017,
	title = {Image Reconstruction by Multilabel Propagation},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {M. Zisler and Astr{\"o}m, F. and Petra, S. and Schn{\"o}rr, C.}
}
@mastersthesis {6185,
	title = {Improvement and Validation of Neural EM Volume Image Segmentation by High-Level Information},
	year = {2017},
	school = {University of Heidelberg},
	author = {Hennies, J}
}
@conference {Kirillov2017a,
	title = {InstanceCut: From edges to instances with MultiCut},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	pages = {7322{\textendash}7331},
	abstract = {This work addresses the task of instance-aware semantic segmentation. Our key motivation is to design a simple method with a new modelling-paradigm, which therefore has a different trade-off between advantages and disadvantages compared to known approaches.Our approach, we term InstanceCut, represents the problem by two output modalities: (i) an instance-agnostic semantic segmentation and (ii) all instance-boundaries. The former is computed from a standard convolutional neural network for semantic segmentation, and the latter is derived from a new instanceaware edge detection model. To reason globally about the optimal partitioning of an image into instances, we combine these two modalities into a novel MultiCut formulation. We evaluate our approach on the challenging CityScapes dataset. Despite the conceptual simplicity of our approach, we achieve the best result among all published methods, and perform particularly well for rare object classes.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.774},
	author = {Kirillov, Alexander and Levinkov, Evgeny and Bj{\"o}rn Andres and Savchynskyy, Bogdan and Carsten Rother}
}
@mastersthesis {6147,
	title = {Interactive Watershed Based Segmentation for Biological Images},
	year = {2017},
	school = {University of Heidelberg},
	author = {Haller, A}
}
@conference {Levinkov2017,
	title = {Joint graph decomposition \& node labeling: Problem, algorithms, applications},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	pages = {1904{\textendash}1912},
	abstract = {We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical abstraction of seemingly unrelated computer vision tasks, including instance-separating semantic segmentation, articulated human body pose estimation and multiple object tracking. Conceptually, the problem we state generalizes the unconstrained integer quadratic program and the minimum cost lifted multicut problem, both of which are NP-hard. In order to find feasible solutions efficiently, we define two local search algorithms that converge monotonously to a local optimum, offering a feasible solution at any time. To demonstrate their effectiveness in tackling computer vision tasks, we apply these algorithms to instances of the problem that we construct from published data, using published algorithms. We report state-of-the-art application-specific accuracy for the three above-mentioned applications.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.206},
	author = {Levinkov, Evgeny and Uhrig, Jonas and Tang, Siyu and Omran, Mohamed and Insafutdinov, Eldar and Kirillov, Alexander and Carsten Rother and Brox, Thomas and Schiele, Bernt and Bj{\"o}rn Andres}
}
@conference {Kirillov2017,
	title = {Joint training of generic CNN-CRF models with stochastic optimization},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {10112 LNCS},
	year = {2017},
	pages = {221{\textendash}236},
	abstract = {We propose a new CNN-CRF end-to-end learning framework, which is based on joint stochastic optimization with respect to both Convolutional Neural Network (CNN) and Conditional Random Field (CRF) parameters. While stochastic gradient descent is a standard technique for CNN training, it was not used for joint models so far. We show that our learning method is (i) general, i.e. it applies to arbitrary CNN and CRF architectures and potential functions; (ii) scalable, i.e. it has a low memory footprint and straightforwardly parallelizes on GPUs; (iii) easy in implementation. Additionally, the unified CNN-CRF optimization approach simplifies a potential hardware implementation. We empirically evaluate our method on the task of semantic labeling of body parts in depth images and show that it compares favorably to competing techniques.},
	isbn = {9783319541839},
	issn = {16113349},
	doi = {10.1007/978-3-319-54184-6_14},
	url = {http://host.robots.ox.ac.uk:8080/leaderboard},
	author = {Kirillov, A and Schlesinger, D and Zheng, S and Savchynskyy, B and Torr, P. H.S. and Carsten Rother}
}
@article {storath2016jump,
	title = {Jump-penalized least absolute values estimation of scalar or circle-valued signals},
	journal = {Information and Inference},
	volume = {6},
	year = {2017},
	pages = {225{\textendash}245},
	doi = {10.1093/imaiai/iaw022},
	author = {Martin Storath and Andreas Weinmann and Michael Unser}
}
@mastersthesis {6203,
	title = {Learned Watershed Algorithm: End-to-End Learning of Seeded Segmentation},
	year = {2017},
	school = {Heidelberg University},
	author = {Schott, L}
}
@article {6212,
	title = {Learned Watershed: End-to-End Learning of Seeded Segmentation},
	year = {2017},
	pages = {2030-2038},
	author = {Wolf, S and Schott, L and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@mastersthesis {6220,
	title = {Learning Steerable Filters for Rotation Equivariant Convolutional Neural Networks},
	year = {2017},
	school = {Heidelberg University},
	author = {Weiler, M}
}
@techreport {Kruse,
	title = {Learning to Push the Limits of Efficient FFT-based Image Deconvolution - Supplemental Material},
	year = {2017},
	abstract = {1. Details about boundary adjustment comparison Section 4.3 of the main paper compares our proposed boundary adjustment (BA) strategy (Our BA, cf. Eq. 17 and Fig. 2 of the main paper) to the traditional edgetapering method (ET once, cf. Eq. 11 of the main paper) and the BA approach (ET each) of CSF [3]; these BA strategies are compared within our FDN model, the CSF model, and a standard Wiener filter [5]. Specifically, we use the publicly available code to train different variants of the CSF model on a dataset of the same size as ours, and only adjust the BA strategy. Furthermore, we apply the Wiener filter as defined in Eq. 2 of the main paper, which we can use iteratively with our BA approach by replacing y with ϕ t (y, k, x t); we estimate the expected image spectrum n from 3000 clean image patches. While our BA comparison is depicted visually in Fig. 5 of the main paper, Table 1 also provides the numeric results and additionally includes stages 6-10 of our FDN model. As compared to the BA approach of CSF (ET each), the results suggest that CSF would also benefit from further stages if used with our BA strategy (cf. 6 th column). Remarkably, the performance of the Wiener filter is not even fully saturated after 50 iterations (Wiener 50) when applied with our BA approach (cf. 3 rd column, only every 5 th step shown after iteration 10). Fig. 1 shows an example where our proposed BA strategy yields a substantial improvement in image quality compared to standard edgetapering (ET once).},
	author = {Kruse, Jakob and Carsten Rother and Schmidt, Uwe and Dresden, T U}
}
@conference {Kruse2017,
	title = {Learning to Push the Limits of Efficient FFT-Based Image Deconvolution},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2017-Octob},
	year = {2017},
	pages = {4596{\textendash}4604},
	abstract = {This work addresses the task of non-blind image deconvolution. Motivated to keep up with the constant increase in image size, with megapixel images becoming the norm, we aim at pushing the limits of efficient FFT-based techniques. Based on an analysis of traditional and more recent learning-based methods, we generalize existing discriminative approaches by using more powerful regularization, based on convolutional neural networks. Additionally, we propose a simple, yet effective, boundary adjustment method that alleviates the problematic circular convolution assumption, which is necessary for FFT-based deconvolution. We evaluate our approach on two common non-blind deconvolution benchmarks and achieve state-of-the-art results even when including methods which are computationally considerably more expensive.},
	isbn = {9781538610329},
	issn = {15505499},
	doi = {10.1109/ICCV.2017.491},
	author = {Kruse, Jakob and Carsten Rother and Schmidt, Uwe}
}
@proceedings {6183,
	title = {Learning Where to Drive by Watching Others},
	volume = {1},
	year = {2017},
	publisher = {Springer-Verlag},
	address = {Basel},
	author = {Miguel Bautista and Fuchs, P. and Bj{\"o}rn Ommer}
}
@conference {Bodnariuc2017a,
	title = {A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry},
	booktitle = {Proc. GCPR},
	year = {2017},
	author = {Ecaterina Bodnariuc and Petra, S. and Schn{\"o}rr, C. and Voorneveld, J.}
}
@proceedings {6201,
	title = {Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans},
	year = {2017},
	pages = {177-184},
	doi = {10.1007/978-3-319-66182-7_21},
	author = {Rathke, F and Desana, M and Schn{\"o}rr, C}
}
@conference {Rathke2017,
	title = {Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans},
	booktitle = {Proc. MICCAI},
	year = {2017},
	author = {Rathke, F. and Desana, M. and Schn{\"o}rr, C.}
}
@conference {buechler:CVPR:2017,
	title = {LSTM Self-Supervision for Detailed Behavior Analysis},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2017},
	publisher = {(BB and UB contributed equally)},
	organization = {(BB and UB contributed equally)},
	abstract = {Behavior analysis provides a crucial non-invasive and
easily accessible diagnostic tool for biomedical research.
A detailed analysis of posture changes during skilled mo-
tor tasks can reveal distinct functional deficits and their
restoration during recovery. Our specific scenario is based
on a neuroscientific study of rodents recovering from a large
sensorimotor cortex stroke and skilled forelimb grasping is
being recorded. Given large amounts of unlabeled videos
that are recorded during such long-term studies, we seek
an approach that captures fine-grained details of posture
and its change during rehabilitation without costly manual
supervision. Therefore, we utilize self-supervision to au-
tomatically learn accurate posture and behavior represen-
tations for analyzing motor function. Learning our model
depends on the following fundamental elements: (i) limb
detection based on a fully convolutional network is ini-
tialized solely using motion information, (ii) a novel self-
supervised training of LSTMs using only temporal permu-
tation yields a detailed representation of behavior, and (iii)
back-propagation of this sequence representation also im-
proves the description of individual postures. We establish a
novel test dataset with expert annotations for evaluation of
fine-grained behavior analysis. Moreover, we demonstrate
the generality of our approach by successfully applying it to
self-supervised learning of human posture on two standard
benchmark datasets.},
	author = {Biagio Brattoli and Uta B{\"u}chler and Anna-Sophia Wahl and M. E. Schwab and Bj{\"o}rn Ommer}
}
@conference {Astroem2017a,
	title = {MAP Image Labeling Using Wasserstein Messages and Geometric Assignment},
	booktitle = {Proc. SSVM},
	series = {LCNS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Astr{\"o}m, F. and H{\"u}hnerbein, R. and Savarino, F. and Recknagel, J. and Schn{\"o}rr, C.}
}
@article {6181,
	title = {Maschinelles Lernen},
	journal = {Patent, Patent Number WO2017032775A1},
	year = {2017},
	author = {Kandemir, M. and Fred A. Hamprecht and Wojek, C and Schmidt, U.}
}
@inbook {6086,
	title = {Mass spectrometry imaging for the investigation of intratumor heterogeneity},
	booktitle = {Advances in Cancer Research},
	volume = {134},
	year = {2017},
	pages = {201-230},
	publisher = {Elsevier},
	organization = {Elsevier},
	doi = {10.1016/bs.acr.2016.11.008},
	author = {Balluff, B and Hanselmann, M. and Heeren, R. M. A.}
}
@phdthesis {Haltebourg2017,
	title = {Modeling of Heat Exchange Across the Ocean Surface as Measured by Active Thermography},
	volume = {Dissertation},
	year = {2017},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00022980},
	author = {Clemens Haltebourg}
}
@article {6122,
	title = {Multicut brings automated neurite segmentation closer to human performance},
	journal = {Nature Methods},
	volume = {14},
	year = {2017},
	pages = {101-102},
	doi = {10.1038/nmeth.4151},
	url = {http://rdcu.be/oVDQ},
	author = {Thorsten Beier and Pape, C and Rahaman, N and Prange, T and Stuart Berg and Bock, D and A. Cardona and G. W. Knott and Plaza, S M and Scheffer, L K and Ullrich K{\"o}the and Kreshuk, A and Fred A. Hamprecht}
}
@article {6178,
	title = {Neuron Segmentation with High-Level Biological Priors},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {37},
	year = {2017},
	chapter = {829-839},
	doi = {10.1109/TMI.2017.2712360},
	author = {Krasowki, N and Thorsten Beier and G. W. Knott and Ullrich K{\"o}the and Fred A. Hamprecht and Kreshuk, A.}
}
@conference {Savarino2017,
	title = {Numerical Integration of Riemannian Gradient Flows for Image Labeling},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Savarino, F. and H{\"u}hnerbein, R. and Astr{\"o}m, F. and Recknagel, J. and Schn{\"o}rr, C.}
}
@article {6210,
	title = {An Objective Comparison of Cell Tracking Algorithms},
	journal = {Nature Methods},
	volume = {14},
	year = {2017},
	pages = {1141-1152},
	doi = {10.1038/NMETH.447},
	author = {Ulman, V. and Ma{\v s}ka, M. and Magnusson, K .E. G. and Ronneberger, O. and Haubold, C. and Harder, N. and Matula, P. and Matula, P. and Svoboda, D. and Radojevic, M. and Smal, I. and Karl Rohr and Jald{\'e}n, J. and Blau, H. M. and Dzyubachyk, O. and Lelieveldt, B. and Xiao, P. and Li, Y. and Cho, S-Y. and Dufour, A. and Olivo-Marin, J. C. and Reyes-Aldasoro, C. C. and Solis-Lemus, J. A. and Bensch, R. and Brox, T. and Stegmaier, J. and Mikut, R. and Wolf, S. and Fred A. Hamprecht and Esteves, T. and Quelhas, P. and Demirel, {\"O}. and Malstr{\"o}m, L. and Jug, F. and Toman{\v c}{\'a}k, P. and Meijering, E. and Mu{\~n}oz-Barrutia, A. and Kozubek, M. and Ortiz-de-Solorzano, C.}
}
@article {6188,
	title = {Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation},
	journal = {Nature Communications},
	year = {2017},
	pages = {(ASW \& UB contributed equally; BO and MES contributed equally)},
	doi = {10.1038/s41467-017-01090-6},
	url = {https://www.nature.com/articles/s41467-017-01090-6},
	author = {Anna-Sophia Wahl and Uta B{\"u}chler and A. Br{\"a}ndli and Biagio Brattoli and S. Musall and H. Kasper and B.V. Ineichen and F. Helmchen and Bj{\"o}rn Ommer and M. E. Schwab}
}
@conference {Krull2017,
	title = {PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	month = {dec},
	pages = {2566{\textendash}2574},
	abstract = {State-of-the-art computer vision algorithms often achieve efficiency by making discrete choices about which hypotheses to explore next. This allows allocation of computational resources to promising candidates, however, such decisions are non-differentiable. As a result, these algorithms are hard to train in an end-to-end fashion. In this work we propose to learn an efficient algorithm for the task of 6D object pose estimation. Our system optimizes the parameters of an existing state-of-the art pose estimation system using reinforcement learning, where the pose estimation system now becomes the stochastic policy, parametrized by a CNN. Additionally, we present an efficient training algorithm that dramatically reduces computation time. We show empirically that our learned pose estimation procedure makes better use of limited resources and improves upon the state-of-the-art on a challenging dataset. Our approach enables differentiable end-to-end training of complex algorithmic pipelines and learns to make optimal use of a given computational budget.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.275},
	url = {http://arxiv.org/abs/1612.03779},
	author = {Krull, Alexander and Brachmann, Eric and Nowozin, Sebastian and Michel, Frank and Shotton, Jamie and Carsten Rother}
}
@mastersthesis {6202,
	title = {A probabilistic approach to learn complex differentiable split functions in decision trees using gradient ascent},
	year = {2017},
	school = {Heidelberg University},
	author = {Hehn, T}
}
@booklet {Massiceti,
	title = {Random Forests versus Neural Networks - What{\textquoteright}s best for camera location},
	year = {2017},
	abstract = {This work addresses the task of camera localiza-tion in a known 3D scene given a single input RGB image. State-of-the-art approaches accomplish this in two steps: firstly, regressing for every pixel in the image its 3D scene coordinate and subsequently, using these coordinates to estimate the final 6D camera pose via RANSAC. To solve the first step, Random Forests (RFs) are typically used. On the other hand, Neural Networks (NNs) reign in many dense regression tasks, but are not test-time efficient. We ask the question: which of the two is best for camera localization? To address this, we make two method contributions: (1) a test-time efficient NN architecture which we term a ForestNet that is derived and initialized from a RF, and (2) a new fully-differentiable robust averaging technique for regression ensembles which can be trained end-to-end with a NN. Our experimental findings show that for scene coordinate regression, traditional NN architectures are superior to test-time efficient RFs and ForestNets, however, this does not translate to final 6D camera pose accuracy where RFs and ForestNets perform slightly better. To summarize, our best method, a ForestNet with a robust average, which has an equivalent fast and lightweight RF, improves over the state-of-the-art for camera localization on the 7-Scenes dataset [1]. While this work focuses on scene coordinate regression for camera localization, our innovations may also be applied to other continuous regression tasks.},
	author = {Massiceti, Daniela and Krull, Alexander and Brachmann, Eric and Carsten Rother and Torr, Philip H S}
}
@phdthesis {vianello207,
	title = {Robust 3D Surface Reconstruction from Light Fields},
	volume = {Dissertation},
	year = {2017},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00023819},
	author = {Alessandro Vianello}
}
@phdthesis {6186,
	title = {Scalable Inference for Multi-Target Tracking on Proliferating Cells},
	year = {2017},
	publisher = {University of Heidelberg},
	author = {Haubold, C.}
}
@article {Berger2017,
	title = {{Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations},
	journal = {J. Math. Imag. Vision},
	volume = {58},
	number = {1},
	year = {2017},
	pages = {102{\textendash}129},
	author = {Johannes Berger and Lenzen, F. and Florian Becker and Neufeld, A. and Schn{\"o}rr, C.}
}
@conference {Markowsky2017,
	title = {Segmentation of cell structure using model-based set covering with iterative reweighting},
	booktitle = {Proc. ISBI},
	year = {2017},
	author = {Markowsky, P. and Reith, S. and Zuber, T.E. and K{\"o}nig, R. and Rohr, K. and Schn{\"o}rr, C.}
}
@mastersthesis {6219,
	title = {Self-Similarity Based Detection of Temporal Motifs in Multivariate Signals},
	year = {2017},
	school = {Heidelberg University},
	author = {Neigel, P}
}
@conference {6193,
	title = {Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
	year = {2017},
	abstract = {Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint locations and beyond. To avoid the need for expensive labeling, we exploit spatiotemporal relations in training videos for self-supervised learning of pose embeddings. The key idea is to combine temporal ordering and spatial placement estimation as auxiliary tasks for learning pose similarities in a Siamese convolutional network. Since the self-supervised sampling of both tasks from natural videos can result in ambiguous and incorrect training labels, our method employs a curriculum learning idea that starts training with the most reliable data samples and gradually increases the difficulty. To further refine the training process we mine repetitive poses in individual videos which provide reliable labels while removing inconsistencies. Our pose embeddings capture visual characteristics of human pose that can boost existing supervised representations in human pose estimation and retrieval. We report quantitative and qualitative results on these tasks in Olympic Sports, Leeds Pose Sports and MPII Human Pose datasets.},
	author = {{\"O}mer S{\"u}mer and Tobias Dencker and Bj{\"o}rn Ommer}
}
@article {Hullin2017,
	title = {Semantic-Aware Image Smoothing},
	journal = {Vision, Modeling, and Visualization},
	year = {2017},
	abstract = {Structure-preserving image smoothing aims to extract semantically meaningful image structure from texture, which is one of the fundamental problems in computer vision and graphics. However, it is still not clear how to define this concept. On the other hand, semantic image labeling has achieved significant progress recently and has been widely used in many computer vision tasks. In this paper, we present an interesting observation, i.e. high-level semantic image labeling information can provide a meaningful structure prior naturally. Based on this observation, we propose a simple and yet effective method, which we term semantic smoothing, by exploiting the semantic information to accomplish semantically structure-preserving image smoothing. We show that our approach outperforms the state-of-the-art approaches in texture removal by considering the semantic infor-mation for structure preservation. Also, we apply our approach to three applications: detail enhancement, edge detection, and image segmentation, and we demonstrate the effectiveness of our semantic smoothing method on these problems.},
	keywords = {Enhancement{\textemdash} Smoothing, I43 [Image Processing and Computer Vision]},
	url = {https://hci.iwr.uni-heidelberg.de/vislearn/wp-content/uploads/2014/08/paper1024_CRC.pdf},
	author = {Hullin, M and Klein, R and Schultz, T and Yao, A and Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@article {6213,
	title = {Solving Large Multicut Problems for Connectomics via Domain Decomposition},
	year = {2017},
	pages = {1-10},
	doi = { 10.1109/ICCVW.2017.7},
	author = {Pape, C and Thorsten Beier and Li, P and Jain, V and Brock, D. D. and Kreshuk, A.}
}
@proceedings {6205,
	title = {Sparse convolutional coding for neuronal assembly detection},
	year = {2017},
	author = {Peter, S. and Kirschbaum, E. and M. Both and Campbell, L. A. and Harvey, B. K. and Heins, C. and Durstewitz, D. and Ferran Diego and Fred A. Hamprecht}
}
@mastersthesis {rennebaum2017,
	title = {Spatio-Temporal Properties of the initial Wave Formation Phase at the Aeolotron},
	year = {2017},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersMaster{\textquoteright}s thesis},
	doi = {10.11588/heidok.00023754},
	author = {Andreas Rennebaum}
}
@conference {6187,
	title = {Unsupervised Video Understanding by Reconciliation of Posture Similarities},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
	year = {2017},
	url = {https://hciweb.iwr.uni-heidelberg.de/compvis/research/tmilbich_iccv17},
	author = {Timo Milbich and Miguel Bautista and Ekaterina Sutter and Bj{\"o}rn Ommer}
}
@proceedings {6140,
	title = {Variational Bayesian Multiple Instance Learning with Gaussian Processes},
	year = {2017},
	pages = {6570-6579},
	doi = {10.1109/CVPR.2017.93},
	author = {Manuel Hau{\ss}mann and Fred A. Hamprecht and Kandemir, M}
}
@phdthesis {vonschmude2017,
	title = {Visual Localization with Lines},
	volume = {Dissertation},
	year = {2017},
	publisher = {IWR, Univ. Heidelberg},
	type = {phd},
	doi = {10.11588/heidok.00023524},
	author = {Najy von Schmude}
}
@proceedings {schilling-etal-2016-ForumBildverarbeitung,
	title = {3D Reconstruction by a Combined Structure Tensor and Hough Transform Light-Field Approach},
	year = {2016},
	abstract = {Disparity estimation using the structure tensor is a local approach to determine orientation in Epipolar Plane Images. A global extension would lead to more precise and robust estimations. In this work, a novel algorithm for 3D reconstruction from linear light fields is porposed. It uses a modified Progressive Probabilistic Hough Transform, in combination with the structure tensor, to extract orientations from Epipolar Plane Images edge maps, allowing to achieve high quality disparity maps.},
	isbn = {978-3-7315-0587-7},
	doi = {10.5445/KSP/1000059899},
	url = {https://doi.org/10.5445/KSP/1000059899},
	author = {Alessandro Vianello and Giulio Manfredi and Maximilian Diebold and Bernd J{\"a}hne}
}
@conference {kunz2016,
	title = {Active thermography as a tool to investigate heat and gas transfer across the air-water interface},
	booktitle = {13th Quantitative Infrared Thermographie Conference (QIRT 2016), Gdansk 4{\textendash}8 July 2016},
	year = {2016},
	doi = {10.21611/qirt.2016.069},
	author = {Jakob Kunz and Bernd J{\"a}hne}
}
@mastersthesis {pross2016,
	title = {Analysis of the Fetch Dependency of the Slope of Wind-Water Waves},
	year = {2016},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersBachelor{\textquoteright}s thesis},
	abstract = {In this thesis mean square slope has been calculated from slope images which were recorded by the Imaging Slope Gauge (ISG) at the annular wind-wave tank Aeolotron in Heidelberg. The calculations have been realized using three different methods, which are, (i) calculation of the variance, (ii) integration of the slope power spectrum and (iii) fitting the probability distribution function of slope with a model function. The resulting values have been compared to each other and to the existing live evaluation of the ISG for a wide range of wind and fetch conditions. Also the fetch dependence of mean square slope has been analyzed, which obtains information about the evolution of a wave field. Additionally the slope images have been separated with the use of band pass filters into slope images of gravity waves and capillary waves. By separating gravity from capillary waves it was possible to analyze their slope probability distribution functions individually.},
	doi = {10.11588/heidok.00021613},
	author = {Pro{\ss}, Christin}
}
@conference {Astroem2016a,
	title = {The Assignment Manifold: A Smooth Model for Image Labeling},
	booktitle = {Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML{\textquoteright}16; oral presentation; Grenander best paper award)},
	year = {2016},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@phdthesis {6076,
	title = {Automated Segmentation for Connectomics Utilizing Higher-Order Biological Priors},
	year = {2016},
	publisher = {University of Heidelberg},
	author = {Krasowski, N}
}
@mastersthesis {6075,
	title = {Automatic Segmentation of Neurites from Anisotropic EM-Imaging},
	year = {2016},
	school = {University of Heidelberg},
	author = {Pape, C}
}
@mastersthesis {6029,
	title = {Automatic Segmentation of Neurons in Electron Microscopy Data with Membrane Defects},
	year = {2016},
	school = {University of Heidelberg},
	author = {Prange, T.}
}
@conference {Mustikovela2016,
	title = {Can ground truth label propagation from video help semantic segmentation?},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9915 LNCS},
	year = {2016},
	pages = {804{\textendash}820},
	abstract = {For state-of-the-art semantic segmentation task, training convolutional neural networks (CNNs) requires dense pixelwise ground truth (GT) labeling, which is expensive and involves extensive human effort. In this work, we study the possibility of using auxiliary ground truth, so-called pseudo ground truth (PGT) to improve the performance. The PGT is obtained by propagating the labels of a GT frame to its subsequent frames in the video using a simple CRF-based, cue integration framework. Our main contribution is to demonstrate the use of noisy PGT along with GT to improve the performance of a CNN. We perform a systematic analysis to find the right kind of PGT that needs to be added along with the GT for training a CNN. In this regard, we explore three aspects of PGT which influence the learning of a CNN: (i) the PGT labeling has to be of good quality; (ii) the PGT images have to be different compared to the GT images; (iii) the PGT has to be trusted differently than GT. We conclude that PGT which is diverse from GT images and has good quality of labeling can indeed help improve the performance of a CNN. Also, when PGT is multiple folds larger than GT, weighing down the trust on PGT helps in improving the accuracy. Finally, We show that using PGT along with GT, the performance of Fully Convolutional Network (FCN) on Camvid data is increased by 2.7\% on IoU accuracy. We believe such an approach can be used to train CNNs for semantic video segmentation where sequentially labeled image frames are needed. To this end, we provide recommendations for using PGT strategically for semantic segmentation and hence bypass the need for extensive human efforts in labeling.},
	isbn = {9783319494081},
	issn = {16113349},
	doi = {10.1007/978-3-319-49409-8_66},
	author = {Mustikovela, Siva Karthik and Yang, Michael Ying and Carsten Rother}
}
@mastersthesis {6093,
	title = {Cell Tracking With Graphical Model Using Higher Order Features On Track Segments},
	year = {2016},
	school = {University of Heidelberg},
	author = {Wolf, S.}
}
@conference {arXiv:1608.08792,
	title = {CliqueCNN: Deep Unsupervised Exemplar Learning},
	booktitle = {Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS)},
	year = {2016},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Barcelona},
	abstract = {Exemplar learning is a powerful paradigm for discovering visual similarities in
an unsupervised manner.  In this context, however, the recent breakthrough in
deep learning could not yet unfold its full potential.  With only a single positive
sample, a great imbalance between one positive and many negatives, and unreliable
relationships between most samples, training of Convolutional Neural networks is
impaired. Given weak estimates of local distance we propose a single optimization
problem to extract batches of samples with mutually consistent relations. Conflict-
ing relations are distributed over different batches and similar samples are grouped
into compact cliques. Learning exemplar similarities is framed as a sequence of
clique categorization tasks. The CNN then consolidates transitivity relations within
and between cliques and learns a single representation for all samples without
the need for labels. The proposed unsupervised approach has shown competitive
performance on detailed posture analysis and object classification.},
	url = {https://arxiv.org/abs/1608.08792},
	author = {Miguel Bautista and Sanakoyeu, A. and Sutter, E. and Bj{\"o}rn Ommer}
}
@article {baust2016combined,
	title = {Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {35},
	year = {2016},
	pages = {1972{\textendash}1989},
	doi = {10.1109/TMI.2016.2528820},
	author = {Maximilian Baust and Andreas Weinmann and Matthias Wieczorek and Tobias Lasser and Martin Storath and Nassir Navab}
}
@conference {Royer2016,
	title = {Convexity shape constraints for image segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	volume = {2016-Decem},
	year = {2016},
	month = {sep},
	pages = {402{\textendash}410},
	abstract = {Segmenting an image into multiple components is a central task in computer vision. In many practical scenarios, prior knowledge about plausible components is available. Incorporating such prior knowledge into models and algorithms for image segmentation is highly desirable, yet can be non-trivial. In this work, we introduce a new approach that allows, for the first time, to constrain some or all components of a segmentation to have convex shapes. Specifically, we extend the Minimum Cost Multicut Problem by a class of constraints that enforce convexity. To solve instances of this NP-hard integer linear program to optimality, we separate the proposed constraints in the branch-and-cut loop of a state-of-the-art ILP solver. Results on photographs and micrographs demonstrate the effectiveness of the approach as well as its advantages over the state-of-the-art heuristic.},
	isbn = {9781467388504},
	issn = {10636919},
	doi = {10.1109/CVPR.2016.50},
	url = {http://arxiv.org/abs/1509.02122},
	author = {Royer, Loic A. and Richmond, David L. and Carsten Rother and Bj{\"o}rn Andres and Kainmueller, Dagmar}
}
@conference {DBLP:conf/isvc/GussefeldHK16,
	title = {Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets},
	booktitle = {Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}},
	year = {2016},
	abstract = {Optical flow ground truth generated by computer graphics has many advantages. For example, we can systematically vary scene parameters to understand algorithm sensitivities. But is synthetic ground truth realistic enough? Appropriate material models have been established as one of the major challenges for the creation of synthetic datasets: previous research has shown that highly sophisticated reflectance field acquisition methods yield results, which various optical flow methods cannot distinguish from real scenes. However, such methods are costly both in acquisition and rendering time and thus infeasible for large datasets. In this paper we find the simplest reflectance models (RM) for different groups of materials which still provide sufficient accuracy for optical flow performance analysis. It turns out that a spatially varying Phong RM is sufficient for simple materials. Normal estimation combined with Anisotropic RM can handle even very complex materials.},
	doi = {10.1007/978-3-319-50835-1_8},
	author = {G{\"u}ssefeld, Burkhard and Katrin Honauer and Daniel Kondermann}
}
@conference {Honauer-etal-2017-ICCV,
	title = {A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields},
	booktitle = {Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	address = {Cham},
	abstract = {In computer vision communities such as stereo, optical flow, or visual tracking, commonly accepted and widely used benchmarks have enabled objective comparison and boosted scientific progress. In  the  emergent  light  field  community,  a  comparable  benchmark  and evaluation methodology is still missing. The performance of newly proposed methods is often demonstrated qualitatively on a handful of images, making quantitative comparison and targeted progress very difficult. To overcome these difficulties, we propose a novel light field benchmark. We provide 24 carefully designed synthetic, densely sampled 4D light fields with highly accurate disparity ground truth. We thoroughly evaluate four state-of-the-art light field algorithms and one multi-view stereo algorithm using existing and novel error measures. This consolidated state-of-the art  may serve as a baseline to stimulate and guide further scientific progress. We publish the benchmark website http://www.lightfield-analysis.net , an evaluation toolkit, and our rendering setup to encourage submissions of both algorithms and further datasets.},
	isbn = {978-3-319-54186-0},
	doi = {10.1007/978-3-319-54187-7_2},
	author = {Katrin Honauer and Ole Johannsen and Daniel Kondermann and Bastian Goldl{\"u}cke},
	editor = {Lai, Shang-Hong}
}
@mastersthesis {6144,
	title = {Deep Learning for Bioimage Analysis},
	year = {2016},
	school = {University of Heidelberg},
	author = {Schmidt, P}
}
@mastersthesis {6146,
	title = {Deep Learning for Diabetic Retinopathy Diagnostics},
	year = {2016},
	school = {University of Heidelberg},
	author = {Balles, L}
}
@article {kleesiek_16_deep,
	title = {Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.},
	journal = {NeuroImage},
	volume = {129},
	year = {2016},
	pages = {460-469},
	doi = {10.1016/j.neuroimage.2016.01.024},
	author = {Kleesiek, J and Urban, G and Hubert, A and Schwarz, D and Maier-Hein, K and M. Bendszus and A. Biller}
}
@inbook {6109,
	title = {Digital Connoisseur? How Computer Vision Supports Art History},
	booktitle = {Connoisseurship nel XXI secolo. Approcci, Limiti, Prospettive, A. Aggujaro \& S. Albl (ed.)},
	year = {2016},
	publisher = {Artemide},
	organization = {Artemide},
	address = {Rome},
	author = {Bell, P. and Bj{\"o}rn Ommer}
}
@conference {Zisler2016a,
	title = {Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints},
	booktitle = {Proc. GCPR},
	year = {2016},
	author = {M. Zisler and Petra, S. and Schn{\"o}rr, Cl. and Christoph Schn{\"o}rr}
}
@conference {Astroem2016c,
	title = {Double-Opponent Vectorial Total Variation},
	booktitle = {Proc. ECCV},
	year = {2016},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@article {6152,
	title = {A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems},
	journal = {arXiv, preprint},
	year = {2016},
	url = {https://arxiv.org/pdf/1612.05460.pdf},
	author = {Swoboda, P. and Kuske, J. and Savchynskyy, B.}
}
@proceedings {6078,
	title = {An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem},
	volume = {LNCS 9906},
	year = {2016},
	pages = {715-730},
	publisher = {Springer},
	doi = { 10.1007/978-3-319-46475-6_44},
	author = {Thorsten Beier and Bj{\"o}rn Andres and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@booklet {Desana2016,
	title = {Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models},
	year = {2016},
	note = {ArXiv},
	month = {April},
	url = {http://arxiv.org/abs/1604.07243},
	author = {Desana, M. and Schn{\"o}rr, C.}
}
@proceedings {schilling-etal-2016-ForumBildverarbeitung,
	title = {A fractal calibration pattern for improved camera calibration},
	year = {2016},
	abstract = {Camera calibration, crucial for computer vision tasks, often relies on planar calibration targets to calibrate the camera parameters. This work explores a planar, fractal, self-identifying calibration pattern, which provides a high density of calibration points for a large range of magnification factors. An evaluation on ground truth data shows the target provides very high accuracy over a wide range of conditions.},
	doi = {10.5445/KSP/1000059899},
	url = {https://doi.org/10.5445/KSP/1000059899},
	author = {Hendrik Schilling and Maximilian Diebold and Marcel Gutsche and Hamza Aziz-Ahmad and Bernd J{\"a}hne}
}
@proceedings {6080,
	title = {Gaussian process density counting from weak supervision},
	volume = {LNCS 9905},
	year = {2016},
	pages = {365-380 },
	publisher = {Springer},
	doi = { 	10.1007/978-3-319-46448-0_22},
	author = {M. von Borstel and Kandemir, M and Schmidt, P and Rao, M and Rajamani, K and Fred A. Hamprecht}
}
@proceedings {6077,
	title = {A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets},
	volume = {LNCS 9911},
	year = {2016},
	pages = {566-582},
	publisher = {Springer},
	doi = {10.1007/978-3-319-46478-7_35},
	author = {Haubold, C. and Ales, J and Wolf, S and Fred A. Hamprecht}
}
@booklet {Astroem2016b,
	title = {A Geometric Approach to Color Image Regularization},
	year = {2016},
	note = {ArXiv, preprint},
	month = {May},
	url = {https://arxiv.org/abs/1605.05977},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@conference {Astroem2016d,
	title = {A Geometric Approach to Image Labeling},
	booktitle = {Proc. ECCV},
	year = {2016},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@conference {Kondermann_2016_CVPR_Workshops,
	title = {The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving},
	booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
	year = {2016},
	month = {June},
	abstract = { Recent advances in autonomous driving require more and more highly realistic reference data, even for difficult situations such as low light and bad weather. We present a new stereo and optical flow dataset to complement existing benchmarks. It was specifically designed to be representative for urban autonomous driving, including realistic, systematically varied radiometric and geometric challenges which were previously unavailable. The accuracy of the ground truth is evaluated based on Monte Carlo simulations yielding full, per-pixel distributions. Interquartile ranges are used as uncertainty measure to create binary masks for arbitrary accuracy thresholds and show that we achieved uncertainties better than those reported for comparable outdoor benchmarks. Binary masks for all dynamically moving regions are supplied with estimated stereo and flow values. An initial public benchmark dataset of 55 manually selected sequences between 19 and 100 frames long are made available in a dedicated website featuring interactive tools for database search, visualization, comparison and benchmarking.
},
	author = {Daniel Kondermann and Nair, Rahul and Katrin Honauer and Karsten Krispin and Jonas Andrulis and Alexander Brock and G{\"u}ssefeld, Burkhard and Mohsen Rahimimoghaddam and Sabine Hofmann and Brenner, Claus and Bernd J{\"a}hne}
}
@conference {DBLP:conf/cvpr/DieboldJG16,
	title = {Heterogeneous Light Fields},
	booktitle = {2016 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016},
	year = {2016},
	abstract = {In contrast to traditional binocular or multi-view stereo approaches, the adequately sampled space of observations in light-field imaging allows, to obtain dense and high quality depth maps. It also extends capabilities beyond those of traditional methods. Previously, constant intensity has been assumed for estimating disparity of orientation in most approaches to analyze epipolar plane images (EPIs). Here, we introduce a modified structure tensor approach which improves depth estimation. This extension also includes a model of non-constant intensity on EPI manifolds. We derive an approach to estimate high quality depth maps in luminance-gradient light fields, as well as in color-filtered light fields. Color-filtered light fields pose particular challenges due to the fact that structures can change significantly in appearance with wavelength and can completely vanish at some wavelength. We demonstrate solutions to this challenge and obtain a dense sRGB image reconstruction in addition to dense depth maps.},
	doi = {10.1109/CVPR.2016.193},
	url = {http://dx.doi.org/10.1109/CVPR.2016.193},
	author = {Maximilian Diebold and Alexander Gatto and Bernd J{\"a}hne}
}
@article {Kappes2016a,
	title = {Higher-order Segmentation via Multicuts},
	journal = {Comp. Vision Image Understanding},
	volume = {143},
	year = {2016},
	pages = {104{\textendash}119},
	author = {Kappes, J. and Speth, M. and Reinelt, G. and Schn{\"o}rr, C.}
}
@booklet {Astroem2016,
	title = {Image Labeling by Assignment},
	year = {2016},
	note = {ArXiv, preprint},
	month = {March},
	url = {http://arxiv.org/abs/1603.05285},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@article {6119,
	title = {Imagining the future of bioimage analysis},
	journal = {Nature Biotechnology},
	volume = {34},
	year = {2016},
	pages = {1250-1255},
	doi = {10.1038/nbt.3722},
	author = {Meijering, E and Carpenter, A E and Peng, Hanchuan and Fred A. Hamprecht and Olivo-Marin, J}
}
@article {Censor2016,
	title = {The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising},
	journal = {J. Comp. Math.},
	volume = {34},
	number = {6},
	year = {2016},
	pages = {608-623},
	author = {Censor, Y. and Gibali, A. and Lenzen, F. and Schn{\"o}rr, C.}
}
@article {biller_16_improved,
	title = {Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression},
	journal = {American Journal of Neuroradiology},
	volume = {37 },
	year = {2016},
	pages = {66-73},
	doi = {10.3174/ajnr.A4493},
	author = {A. Biller and Badde, S and Nagel, A and Neumann, JO and Wick, W and Hertenstein, A and M. Bendszus and Sahm, F and Benkhedah, N and Kleesiek, J}
}
@conference {Mund2016,
	title = {Introducing LiDAR Point Cloud-based Object Classification for Safer Apron Operations},
	booktitle = {International Symposium on Enhanced Solutions for Aircraft and Vehicle Surveillance Applications},
	year = {2016},
	abstract = {Current procedures for conventional and remote airport ground control still rely on the direct (camera-) view. Despite further support by different Radar applications occasional shortcomings in the awareness of the responsible controllers may occur, particularly under adverse weather conditions, giving rise to capacity backlogs, incidents and accidents. As Laser scanners and computer vision algorithms have reached new performance levels in recent years, we proposed a novel concept for complete and independent airport apron surveillance based on LiDAR 3D point data. In this paper we extend our object detection/segmentation technique by addressing object classification in LiDAR 3D scans. We hereby enable LiDAR{\textquoteleft}s unique capability to classify non-cooperative objects by means of a single sensor and learned model knowledge. Our technique was able to classify and to estimate the poses of an Airbus A319-100 and a Boeing B737-700 parked on the airport apron. In the future we will enhance our classification technique to a wider range of objects including moving ground vehicles and pedestrians.},
	keywords = {- lidar, 3d point cloud, aircraft, airport ground surveillance, apron control, apron control rely on, classification, current legacy procedures for, laser scanning, pose estimation},
	url = {https://goo.gl/28Yoqh},
	author = {Mund, Johannes and Michel, Frank and Dieke-Meier, Franziska and Fricke, Hartmut and Meyer, Lothar and Carsten Rother}
}
@conference {Berger2016a,
	title = {Joint Recursive Monocular Filtering of Camera Motion and Disparity Map},
	booktitle = {38th German Conference on Pattern Recognition},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	address = {Hannover},
	doi = {1606.02092},
	url = {https://arxiv.org/abs/1606.02092},
	author = {Johannes Berger and Christoph Schn{\"o}rr}
}
@conference {Berger2016a,
	title = {Joint Recursive Monocular Filtering of Camera Motion and Disparity Map},
	booktitle = {38th German Conference on Pattern Recognition},
	year = {2016},
	note = {in press},
	author = {Johannes Berger and Christoph Schn{\"o}rr}
}
@article {7468481,
	title = {Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm},
	journal = {IEEE Transactions on Image Processing},
	volume = {25},
	year = {2016},
	pages = {3384 - 3394},
	keywords = {Active contours, Computational modeling, Image segmentation, Manifolds, Shape, Three-dimensional displays, TV},
	issn = {1057-7149},
	doi = {10.1109/TIP.2016.2567068},
	author = {Anca Stefanoiu and Andreas Weinmann and Martin Storath and Nassir Navab and Maximilian Baust}
}
@proceedings {6081,
	title = {Learning Diverse Models: The Coulomb Structured Support Vector Machine},
	volume = {LNCS 9907},
	year = {2016},
	pages = {585-599},
	publisher = {Springer},
	doi = { 10.1007/978-3-319-46487-9_36},
	author = {Schiegg, M. and Ferran Diego and Fred A. Hamprecht}
}
@mastersthesis {6028,
	title = {Learning to Count from Weak Supervision},
	year = {2016},
	school = {University of Heidelberg},
	author = {M. von Borstel}
}
@phdthesis {diebold2016,
	title = {Light-Field Imaging and Heterogeneous Light Fields},
	volume = {Dissertation},
	year = {2016},
	publisher = {IWR, Univ. Heidelberg},
	type = {phd},
	doi = {10.11588/heidok.00020560},
	author = {Maximilian Diebold}
}
@conference {Pinggera2016,
	title = {Lost and found: Detecting small road hazards for self-driving vehicles},
	booktitle = {IEEE International Conference on Intelligent Robots and Systems},
	volume = {2016-Novem},
	year = {2016},
	pages = {1099{\textendash}1106},
	abstract = {Detecting small obstacles on the road ahead is a critical part of the driving task which has to be mastered by fully autonomous cars. In this paper, we present a method based on stereo vision to reliably detect such obstacles from a moving vehicle. The proposed algorithm performs statistical hypothesis tests in disparity space directly on stereo image data, assessing freespace and obstacle hypotheses on independent local patches. This detection approach does not depend on a global road model and handles both static and moving obstacles. For evaluation, we employ a novel lost-cargo image sequence dataset comprising more than two thousand frames with pixelwise annotations of obstacle and free-space and provide a thorough comparison to several stereo-based baseline methods. The dataset will be made available to the community to foster further research on this important topic4. The proposed approach outperforms all considered baselines in our evaluations on both pixel and object level and runs at frame rates of up to 20 Hz on 2 mega-pixel stereo imagery. Small obstacles down to the height of 5 cm can successfully be detected at 20 m distance at low false positive rates.},
	isbn = {9781509037629},
	issn = {21530866},
	doi = {10.1109/IROS.2016.7759186},
	url = {http://www.6d-vision.com/lostandfounddataset},
	author = {Pinggera, Peter and Ramos, Sebastian and Gehrig, Stefan and Franke, Uwe and Carsten Rother and Mester, Rudolf}
}
@conference {Richmond2016,
	title = {Mapping auto-context decision forests to deep convnets for semantic segmentation},
	booktitle = {British Machine Vision Conference 2016, BMVC 2016},
	volume = {2016-Septe},
	year = {2016},
	month = {jul},
	pages = {144.1{\textendash}144.12},
	abstract = {We consider the task of pixel-wise semantic segmentation given a small set of labeled training images. Among two of the most popular techniques to address this task are Random Forests (RF) and Neural Networks (NN). In this work, we explore the relationship between two special forms of these techniques: stacked RFs (namely Auto-context) and deep Convolutional Neural Networks (ConvNet). Our main contribution is to show that Auto-context can be mapped to a deep ConvNet with novel architecture, and thereby trained end-to-end. This mapping can be viewed as an intelligent initialization of a deep ConvNet, enabling training even in the face of very limited amounts of training data. We also demonstrate an approximate mapping back from the refined ConvNet to a second stacked RF, with improved performance over the original. We experimentally verify that these mappings outperform stacked RFs for two different applications in computer vision and biology: Kinect-based body part labeling from depth images, and somite segmentation in microscopy images of developing zebrafish.},
	doi = {10.5244/C.30.144},
	url = {http://arxiv.org/abs/1507.07583},
	author = {Richmond, David L. and Kainmueller, Dagmar and Yang, Michael Y. and Myers, Eugene W. and Carsten Rother}
}
@conference {Richmond2016a,
	title = {Mapping auto-context decision forests to deep convnets for semantic segmentation},
	booktitle = {British Machine Vision Conference 2016, BMVC 2016},
	volume = {2016-Septe},
	year = {2016},
	pages = {144.1{\textendash}144.12},
	abstract = {We consider the task of pixel-wise semantic segmentation given a small set of labeled training images. Among two of the most popular techniques to address this task are Random Forests (RF) and Neural Networks (NN). In this work, we explore the relationship between two special forms of these techniques: stacked RFs (namely Auto-context) and deep Convolutional Neural Networks (ConvNet). Our main contribution is to show that Auto-context can be mapped to a deep ConvNet with novel architecture, and thereby trained end-to-end. This mapping can be viewed as an intelligent initialization of a deep ConvNet, enabling training even in the face of very limited amounts of training data. We also demonstrate an approximate mapping back from the refined ConvNet to a second stacked RF, with improved performance over the original. We experimentally verify that these mappings outperform stacked RFs for two different applications in computer vision and biology: Kinect-based body part labeling from depth images, and somite segmentation in microscopy images of developing zebrafish.},
	doi = {10.5244/C.30.144},
	url = {https://github.com/BVLC/caffe/wiki/Model-Zoo\#fcn},
	author = {Richmond, David L and Kainmueller, Dagmar and Yang, Michael Y and Myers, Eugene W and Carsten Rother}
}
@conference {Richmond2016b,
	title = {Mapping auto-context decision forests to deep convnets for semantic segmentation},
	booktitle = {British Machine Vision Conference 2016, BMVC 2016},
	volume = {2016-Septe},
	year = {2016},
	pages = {144.1{\textendash}144.12},
	abstract = {We consider the task of pixel-wise semantic segmentation given a small set of labeled training images. Among two of the most popular techniques to address this task are Random Forests (RF) and Neural Networks (NN). In this work, we explore the relationship between two special forms of these techniques: stacked RFs (namely Auto-context) and deep Convolutional Neural Networks (ConvNet). Our main contribution is to show that Auto-context can be mapped to a deep ConvNet with novel architecture, and thereby trained end-to-end. This mapping can be viewed as an intelligent initialization of a deep ConvNet, enabling training even in the face of very limited amounts of training data. We also demonstrate an approximate mapping back from the refined ConvNet to a second stacked RF, with improved performance over the original. We experimentally verify that these mappings outperform stacked RFs for two different applications in computer vision and biology: Kinect-based body part labeling from depth images, and somite segmentation in microscopy images of developing zebrafish.},
	doi = {10.5244/C.30.144},
	author = {Richmond, David L and Kainmueller, Dagmar and Yang, Michael Y and Myers, Eugene W and Carsten Rother}
}
@article {Strouse2016,
	title = {Marijuana{\textquoteright}s Public Health Pros and Cons | For Better | US News},
	journal = {U.S. News and World Report},
	year = {2016},
	abstract = {User-provided object bounding box is a simple and popular interaction paradigm considered by many existing interactive image segmentation frameworks. However, these frameworks tend to exploit the provided bounding box merely to exclude its exterior from consideration and sometimes to initialize the energy minimization. In this paper, we discuss how the bounding box can be further used to impose a powerful topological prior, which prevents the solution from excessive shrinking and ensures that the user-provided box bounds the segmentation in a sufficiently tight way. The prior is expressed using hard constraints incorporated into the global energy minimization framework leading to an NP-hard integer program. We then investigate the possible optimization strategies including linear relaxation as well as a new graph cut algorithm called pinpointing. The latter can be used either as a rounding method for the fractional LP solution, which is provably better than thresholding-based rounding, or as a fast standalone heuristic. We evaluate the proposed algorithms on a publicly available dataset, and demonstrate the practical benefits of the new prior both qualitatively and quantitatively.},
	isbn = {978-1-4244-4420-5},
	doi = {10.1109/ICCV.2009.5459262},
	url = {http://health.usnews.com/health-news/patient-advice/articles/2016-10-12/marijuanas-public-health-pros-and-cons},
	author = {Strouse, Thomas M.D}
}
@phdthesis {lenor2016,
	title = {Model-Based Estimation of Meteorological Visibility in the Context of Automotive Camera Systems},
	volume = {Dissertation},
	year = {2016},
	publisher = {IWR, Univ. Heidelberg},
	type = {phd},
	doi = {10.11588/heidok.00020855},
	author = {Stephan Lenor}
}
@article {Kappes2016,
	title = {Multicuts and Perturb \& MAP for Probabilistic Graph Clustering},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {56},
	number = {2},
	year = {2016},
	month = {jan},
	pages = {221{\textendash}237},
	abstract = {We present a probabilistic graphical model formulation for the graph clustering problem. This enables us to locally represent uncertainty of image partitions by approximate marginal distributions in a mathematically substantiated way, and to rectify local data term cues so as to close contours and to obtain valid partitions. We exploit recent progress on globally optimal MAP inference by integer programming and on perturbation-based approximations of the log-partition function, in order to sample clusterings and to estimate marginal distributions of node-pairs both more accurately and more efficiently than state-of-the-art methods. Our approach works for any graphically represented problem instance. This is demonstrated for image segmentation and social network cluster analysis. Our mathematical ansatz should be relevant also for other combinatorial problems.},
	keywords = {Correlation clustering, graphical models, Multicut, Perturb and MAP},
	issn = {15737683},
	doi = {10.1007/s10851-016-0659-3},
	url = {http://arxiv.org/abs/1601.02088},
	author = {Kappes, Jorg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Christoph Schn{\"o}rr}
}
@article {Kappes2016,
	title = {Multicuts and Perturb \& MAP for Probabilistic Graph Clustering},
	journal = {J. Math. Imag. Vision},
	volume = {56},
	number = {2},
	year = {2016},
	pages = {221{\textendash}237},
	author = {Kappes, J.H. and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Schn{\"o}rr, C.}
}
@article {jaehne2016,
	title = {Noise equalisation and quasi loss-less image data compression {\textendash} or how many bits needs an image sensor?},
	journal = {tm {\textendash} Technisches Messen},
	volume = {83},
	year = {2016},
	pages = {16{\textendash}24},
	doi = {10.1515/teme-2015-0093},
	author = {Bernd J{\"a}hne and Martin Schwarzbauer}
}
@article {Zisler2016,
	title = {Non-Binary Discrete Tomography by Continuous Non-Convex Optimization},
	journal = {IEEE Comp. Imaging},
	volume = {2},
	number = {3},
	year = {2016},
	pages = {335-347},
	author = {M. Zisler and Kappes, J.H. and Schn{\"o}rr, Cl. and Petra, S. and Christoph Schn{\"o}rr}
}
@conference {Bodnariuc2016,
	title = {Parametric Dictionary-Based Velocimetry for Echo PIV},
	booktitle = {Proc. CGPR},
	year = {2016},
	author = {Ecaterina Bodnariuc and Petra, S. and Poelma, C. and Schn{\"o}rr, C.}
}
@article {Swoboda2016,
	title = {Partial Optimality by Pruning for MAP-Inference with General Graphical Models},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {38},
	number = {7},
	year = {2016},
	month = {jul},
	pages = {1370{\textendash}1382},
	publisher = {IEEE Computer Society},
	abstract = {We consider the energy minimization problem for undirected graphical models, also known as MAP-inference problem for Markov random fields which is NP-hard in general. We propose a novel polynomial time algorithm to obtain a part of its optimal non-relaxed integral solution. Our algorithm is initialized with variables taking integral values in the solution of a convex relaxation of the MAP-inference problem and iteratively prunes those, which do not satisfy our criterion for partial optimality. We show that our pruning strategy is in a certain sense theoretically optimal. Also empirically our method outperforms previous approaches in terms of the number of persistently labelled variables. The method is very general, as it is applicable to models with arbitrary factors of an arbitrary order and can employ any solver for the considered relaxed problem. Our method{\textquoteright}s runtime is determined by the runtime of the convex relaxation solver for the MAP-inference problem.},
	keywords = {energy minimization, Local polytope, MAP-inference, Markov random fields, partial optimality, persistency},
	issn = {01628828},
	doi = {10.1109/TPAMI.2015.2484327},
	author = {Swoboda, Paul and Shekhovtsov, Alexander and Kappes, Jorg Hendrik and Christoph Schn{\"o}rr and Savchynskyy, Bogdan}
}
@article {Swoboda2016,
	title = {Partial Optimality by Pruning for MAP-Inference with General Graphical Models},
	journal = {IEEE Trans. Patt. Anal. Mach. Intell.},
	volume = {38},
	number = {7},
	year = {2016},
	pages = {1370{\textendash}1382},
	author = {Swoboda, P. and Shekhovtsov, A. and Kappes, J.H. and Schn{\"o}rr, C. and Savchynskyy, B.}
}
@proceedings {6110,
	title = {Plane Wave Acoustic Superposition for Fast Ultrasound Imaging},
	year = {2016},
	author = {Ecaterina Bodnariuc and Martin F. Schiffner and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {Jafari2016,
	title = {Real-time RGB-D based template matching pedestrian detection},
	booktitle = {Proceedings - IEEE International Conference on Robotics and Automation},
	volume = {2016-June},
	year = {2016},
	pages = {5520{\textendash}5527},
	abstract = {Pedestrian detection is one of the most popular topics in computer vision and robotics. Considering challenging issues in multiple pedestrian detection, we present a real-time depth-based template matching people detector. In this paper, we propose different approaches for training the depth-based template. We train multiple templates for handling issues due to various upper-body orientations of the pedestrians and different levels of detail in depth-map of the pedestrians with various distances from the camera. And, we take into account the degree of reliability for different regions of sliding window by proposing the weighted template approach. Furthermore, we combine the depth-detector with an appearance based detector as a verifier to take advantage of the appearance cues for dealing with the limitations of depth data. We evaluate our method on the challenging ETH dataset sequence. We show that our method outperforms the state-of-the-art approaches.},
	isbn = {9781467380263},
	issn = {10504729},
	doi = {10.1109/ICRA.2016.7487767},
	author = {Omid Hosseini Jafari and Yang, Michael Ying}
}
@conference {visapp16vonSchmude,
	title = {Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry},
	booktitle = {Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications},
	year = {2016},
	abstract = {This paper tackles the problem of relative pose estimation between two monocular camera images in textureless scenes. Due to a lack of point matches, point-based approaches such as the 5-point algorithm often fail when used in these scenarios. Therefore we investigate relative pose estimation from line observations. We propose a new approach in which the relative pose estimation from lines is extended by a 3D line direction estimation step. The estimated line directions serve to improve the robustness and the efficiency of all processing phases: they enable us to guide the matching of line features and allow an efficient calculation of the relative pose. First, we describe in detail the novel 3D line direction estimation from a single image by clustering of parallel lines in the world. Secondly, we propose an innovative guided matching in which only clusters of lines with corresponding 3D line directions are considered. Thirdly, we introduce the new relative pose estimation based on 3 D line directions. Finally, we combine all steps to a visual odometry system. We evaluate the different steps on synthetic and real sequences and demonstrate that in the targeted scenarios we outperform the state-of-the-art in both accuracy and computation time.},
	isbn = {978-989-758-175-5},
	doi = {10.5220/0005661404210431},
	author = {Naja von Schmude and Pierre Lothe and Bernd J{\"a}hne}
}
@inbook {6055,
	title = {Segmenting and Tracking Multiple Dividing Targets Using ilastik},
	booktitle = {Focus on Bio-Image Informatics},
	series = {Advances in Anatomy, Embryology and Cell Biology},
	volume = {219},
	year = {2016},
	pages = {199-229},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-28549-8_8},
	author = {Haubold, C. and Schiegg, M. and Kreshuk, A. and Stuart Berg and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@mastersthesis {6145,
	title = {Semantic Segmentation Using Deep Learning},
	year = {2016},
	school = {University of Heidelberg},
	author = {Rathore, D}
}
@mastersthesis {schwarz2016,
	title = {Spatio-Temporal Measurements of Water-Wave Height and Slope using Laser-Induced Fluorescence and Splines},
	year = {2016},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersBachelor{\textquoteright}s thesis},
	doi = {10.11588/heidok.00021977},
	author = {Katja Schwarz}
}
@conference {Sellent2016,
	title = {Stereo video deblurring},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9906 LNCS},
	year = {2016},
	pages = {558{\textendash}575},
	abstract = {Videos acquired in low-light conditions often exhibit motion blur, which depends on the motion of the objects relative to the camera. This is not only visually unpleasing, but can hamper further processing. With this paper we are the first to show how the availability of stereo video can aid the challenging video deblurring task.We leverage 3D scene flow, which can be estimated robustly even under adverse conditions. We go beyond simply determining the object motion in two ways: First, we show how a piecewise rigid 3D scene flow representation allows to induce accurate blur kernels via local homographies. Second, we exploit the estimated motion boundaries of the 3D scene flow to mitigate ringing artifacts using an iterative weighting scheme. Being aware of 3D object motion, our approach can deal robustly with an arbitrary number of independently moving objects. We demonstrate its benefit over state-ofthe- art video deblurring using quantitative and qualitative experiments on rendered scenes and real videos.},
	keywords = {Object motion blur, Scene flow, Spatially-variant deblurring},
	isbn = {9783319464749},
	issn = {16113349},
	doi = {10.1007/978-3-319-46475-6_35},
	author = {Sellent, Anita and Carsten Rother and Roth, Stefan}
}
@techreport {Sellent,
	title = {Stereo Video Deblurring-Supplemental Material},
	year = {2016},
	abstract = {One of the key contributions in our stereo video deblurring is to employ 3D scene flow to induce blur kernels based on homographies. As the difference to inducing blur kernels from an optical flow field may seem subtle but increases deblurring performance considerably, we schematically illustrate the difference of the two ways of generating blur kernels in Fig. 10. (a) 3D motion (b) Image plane projection: Blur kernels from linear displacements (c) Image plane projection: Blur kernels from homographies Fig. 10. Inducing blur matrices: (a) Assume that 3D point P moves with a constant rigid body motion in 3D, e. g. with a yaw motion. The projection of this motion to the image plane (blue) is a circular trajectory. The corresponding 2D ground truth displacement (yellow), however, is a vector in the image plane that connects start and end point of the motion during a time interval. (b) Using optical flow, the blur kernel at a location z is approximated by identifying all pixels that, according to their spatially-variant displacement, pass through z during the time interval. The image content at point x is correctly identified as passing through z. The image content at point y is not identified correctly as its 2D displacement passes z at a distance. Instead, the image content at point{\textasciicircum}ypoint{\textasciicircum} point{\textasciicircum}y is erroneously identified as passing through z, even though{\textasciicircum}ythough{\textasciicircum} though{\textasciicircum}y has a different distance to the rotation center than z. This results in the distorted kernels shown in Fig. 3b. (c) Assuming 3D points in the vicinity of P to form a plane, we employ 3D homographies to generate blur kernels. The blur kernel at location z is thus formed by the image points whose trajectory, according to the homography, passes through z during the time interval. Consequently, y is correctly identified as passing through z, leading to the kernels shaped as circular arcs shown in Fig. 3a},
	author = {Sellent, Anita and Carsten Rother and Roth, Stefan}
}
@mastersthesis {6074,
	title = {Structured Learning on Calcium Imaging Data},
	year = {2016},
	school = {University of Heidelberg},
	type = {Master Theses},
	author = {Kiem, A}
}
@proceedings {6063,
	title = {Structured Regression Gradient Boosting},
	year = {2016},
	pages = {1459-1467},
	doi = { 10.1109/CVPR.2016.162},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@booklet {Silvestri2016,
	title = {Symmetry-free SDP Relaxations for Affine Subspace Clustering},
	year = {2016},
	note = {ArXiv, preprint},
	month = {July},
	url = {http://arxiv.org/abs/1607.07387},
	author = {Silvestri, F. and Reinelt, G. and Schn{\"o}rr, C.}
}
@conference {Brachmann2016,
	title = {Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	volume = {2016-Decem},
	year = {2016},
	pages = {3364{\textendash}3372},
	abstract = {In recent years, the task of estimating the 6D pose of object instances and complete scenes, i.e. camera localization, from a single input image has received considerable attention. Consumer RGB-D cameras have made this feasible, even for difficult, texture-less objects and scenes. In this work, we show that a single RGB image is sufficient to achieve visually convincing results. Our key concept is to model and exploit the uncertainty of the system at all stages of the processing pipeline. The uncertainty comes in the form of continuous distributions over 3D object coordinates and discrete distributions over object labels. We give three technical contributions. Firstly, we develop a regularized, auto-context regression framework which iteratively reduces uncertainty in object coordinate and object label predictions. Secondly, we introduce an efficient way to marginalize object coordinate distributions over depth. This is necessary to deal with missing depth information. Thirdly, we utilize the distributions over object labels to detect multiple objects simultaneously with a fixed budget of RANSAC hypotheses. We tested our system for object pose estimation and camera localization on commonly used data sets. We see a major improvement over competing systems.},
	isbn = {9781467388504},
	issn = {10636919},
	doi = {10.1109/CVPR.2016.366},
	author = {Brachmann, Eric and Michel, Frank and Krull, Alexander and Yang, Michael Ying and Gumhold, Stefan and Carsten Rother}
}
@conference {Brachmann2016a,
	title = {Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	volume = {2016-Decem},
	year = {2016},
	pages = {3364{\textendash}3372},
	abstract = {In recent years, the task of estimating the 6D pose of object instances and complete scenes, i.e. camera localization, from a single input image has received considerable attention. Consumer RGB-D cameras have made this feasible, even for difficult, texture-less objects and scenes. In this work, we show that a single RGB image is sufficient to achieve visually convincing results. Our key concept is to model and exploit the uncertainty of the system at all stages of the processing pipeline. The uncertainty comes in the form of continuous distributions over 3D object coordinates and discrete distributions over object labels. We give three technical contributions. Firstly, we develop a regularized, auto-context regression framework which iteratively reduces uncertainty in object coordinate and object label predictions. Secondly, we introduce an efficient way to marginalize object coordinate distributions over depth. This is necessary to deal with missing depth information. Thirdly, we utilize the distributions over object labels to detect multiple objects simultaneously with a fixed budget of RANSAC hypotheses. We tested our system for object pose estimation and camera localization on commonly used data sets. We see a major improvement over competing systems.},
	isbn = {9781467388504},
	issn = {10636919},
	doi = {10.1109/CVPR.2016.366},
	author = {Brachmann, Eric and Michel, Frank and Krull, Alexander and Yang, Michael Ying and Gumhold, Stefan and Carsten Rother}
}
@proceedings {6079,
	title = {Variational weakly-supervised Gaussian processes},
	year = {2016},
	author = {Kandemir, M and Manuel Hau{\ss}mann and Ferran Diego and Rajamani, K and van der Laak, J and Fred A. Hamprecht}
}
@article {6033,
	title = {Virtual Raters for Reproducible and Objective Assessments in Radiology},
	journal = {Nature Scientific Reports},
	volume = {6},
	year = {2016},
	doi = {10.1038/srep25007},
	author = {Kleesiek, J. and Petersen, J. and D{\"o}ring, M. and Maier-Hein, K. and Ullrich K{\"o}the and Wick, W. and Fred A. Hamprecht and M. Bendszus and A. Biller}
}
@mastersthesis {6143,
	title = {Weakly Supervised Detection with Gaussian Processes},
	year = {2016},
	school = {University of Heidelberg},
	author = {Manuel Hau{\ss}mann}
}
@phdthesis {esparza2015,
	title = {3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems},
	volume = {Dissertation},
	year = {2015},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00019316},
	author = {Jose Esparza}
}
@phdthesis {esparza2015,
	title = {3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems},
	year = {2015},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Esparza, Jose}
}
@conference {Biesdorf2015,
	title = {3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization},
	booktitle = {Proc.~ISBI},
	year = {2015},
	author = {Biesdorf, A. and W{\"o}rz, S. and von Tengg-Kobligk, H. and Karl Rohr and Christoph Schn{\"o}rr}
}
@conference {Bodnariuc2015,
	title = {Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV},
	booktitle = {Proc.~EMMCVPR},
	volume = {8932},
	year = {2015},
	pages = {378--391},
	publisher = {Springer},
	organization = {Springer},
	author = {Ecaterina Bodnariuc and Gurung, A. and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {5977,
	title = {Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV},
	booktitle = {EMMCVPR},
	year = {2015},
	author = {Ecaterina Bodnariuc and Gurung, A. and Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Krah2015a,
	title = {An advanced image processing method to improve the spatial resolution of ion radiographies},
	journal = {Physics in Medicine and Biology},
	volume = {60},
	year = {2015},
	pages = {8525},
	abstract = {We present an optimization method to improve the spatial resolution and the water equivalent thickness (WET) accuracy of ion radiographies. The method is designed for imaging systems measuring for each actively scanned beam spot the lateral position of the pencil beam and at the same time the Bragg curve (behind the target) in discrete steps without relying on tracker detectors to determine the ion trajectory before and after the irradiated volume. Specifically, the method was used for an imaging set-up consisting of a stack of 61 parallel-plate ionization chambers (PPIC) interleaved with absorber plates of polymethyl methacrylate (PMMA) working as a range telescope. The method uses not only the Bragg peak position, but approximates the entire measured Bragg curve as a superposition of differently shifted Bragg curves. Their relative weights allow to reconstruct the distribution of thickness around each scan spot of a heterogeneous phantom. The approach also allows merging the ion radiography with the geometric information of a co-registered x-ray radiography in order to increase its spatial resolution. The method was tested using Monte Carlo simulated and experimental proton radiographies of a PMMA step phantom and an anthropomorphic head phantom. For the step phantom, the effective spatial resolution was found to be 6 and 4 times higher than the nominal resolution for the simulated and experimental radiographies, respectively. For the head phantom, a gamma index was calculated to quantify the conformity of the simulated proton radiographies with a digitally reconstructed radiography (DRR) obtained from an x-ray CT and properly converted into WET. For a distance-to-agreement (DTA) of 2.5 mm and a relative WET difference (RWET) of 2.5\%, the passing ratio was 100\%/85\% for the optimized/non-optimized case, respectively. When the optimized proton radiography was merged with the co-registered DRR, the passing ratio was 100\% at DTA  =  1.3 mm and RWET  =  1.3\%. A special interpolation method allows to strongly reduce the dose by using a coarser grid of the measured beam spot position with a 5 times larger grid distance. We show that despite a dose reduction of 25 times (leading to a dose of 0.016 mGy for the current imaging set-up), the image quality of the optimized radiographies remains fairly unaffected for both the simulated and experimental case.},
	url = {http://stacks.iop.org/0031-9155/60/i=21/a=8525},
	author = {Nils Krah and M Testa and S Brons and O J{\"a}kel and K Parodi and Bj{\"o}rn Voss and I Rinaldi}
}
@conference {jaehne2015,
	title = {Air-sea gas exchange: from empiric wind speed relations to regimes and ranges},
	booktitle = {Fr{\"u}hjahrstagung der Deutschen Physikalischen Gesellschaft, Fachverband Umweltphysik},
	year = {2015},
	note = {Invited talk},
	pages = {UP 16.3},
	url = {http://www.dpg-verhandlungen.de/year/2015/conference/heidelberg/part/up/session/16/contribution/3?lang=en},
	author = {Bernd J{\"a}hne}
}
@phdthesis {nair2015,
	title = {Analysis and Modeling of Passive Stereo and Time-of-Flight Imaging},
	volume = {Dissertation},
	year = {2015},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00018174},
	author = {Rahul Nair}
}
@article {Gianniotis2015,
	title = {Approximate variational inference based on a finite sample of Gaussian latent variables},
	journal = {Patt.~Anal.~Appl.},
	year = {2015},
	doi = {10.1007/s10044-015-0496-9},
	author = {Gianniotis, N. and Christoph Schn{\"o}rr and Molkenthin, C. and Bora, S.S.}
}
@proceedings {kandemir_15_asymmetric,
	title = {Asymmetric transfer learning with deep Gaussian processes},
	year = {2015},
	note = {1},
	pages = {730-738},
	author = {Kandemir, M.}
}
@article {kreshuk_15_automated,
	title = {Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves},
	journal = {Journal of Microscopy},
	volume = {259 (2)},
	year = {2015},
	pages = {143-154},
	doi = {10.1111/jmi.12266},
	author = {Anna Kreshuk and Walecki, R. and Ullrich K{\"o}the and Gierthm{\"u}hlen, M. and Plachta, D. and Genoud, C. and Haastert-Talini, K. and Fred A. Hamprecht}
}
@article {yarlagadda:PAMI:2015,
	title = {Beyond the Sum of Parts: Voting with Groups of Dependent Entities},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {37},
	number = {6},
	year = {2015},
	pages = {1134--1147},
	publisher = {IEEE},
	url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6926849},
	author = {Yarlagadda, P. and Bj{\"o}rn Ommer}
}
@proceedings {kandemir_15_cell,
	title = {Cell event detection in phase-contrast microscopy sequences from few annotations},
	volume = {LNCS 9351},
	year = {2015},
	pages = {316-323},
	publisher = {Springer},
	doi = {10.1007/978-3-319-24574-4_38},
	author = {Kandemir, M. and Fred A. Hamprecht}
}
@article {krall2015,
	title = {Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank},
	journal = {Ocean Sci.},
	volume = {11},
	year = {2015},
	pages = {111--120},
	doi = {10.5194/os-11-111-2015},
	author = {Leila Nagel and Kerstin Ellen Krall and Bernd J{\"a}hne}
}
@article {kappes_15_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	year = {2015},
	note = {1},
	pages = {1-30},
	doi = {10.1007/s11263-015-0809-x},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {Kappes2015,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {Int.~J.~Comp.~Vision},
	year = {2015},
	note = {in press (preprint: arXiv:1404.0533)},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {Kappes2015,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	url = {http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Kappes2015a,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	isbn = {25164671.25},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Kappes2015b,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Rathke2015,
	title = {A Computational Approach to Log-Concave Density Estimation},
	journal = {An. St. Univ. Ovidius Constanta},
	volume = {23},
	number = {3},
	year = {2015},
	pages = {151-166},
	author = {Rathke, F. and Christoph Schn{\"o}rr}
}
@article {rathke2015b,
	title = {A Computational Approach to Log-Concave Density Estimation},
	journal = {An. St. Univ. Ovidius Constanta},
	volume = {23},
	year = {2015},
	pages = {151-166},
	author = {Rathke, Fabian and Christoph Schn{\"o}rr}
}
@conference {Silvestri2015,
	title = {A Convex Relaxation Approach to the Affine Subspace Clustering Problem},
	booktitle = {Proc.~GCPR},
	year = {2015},
	author = {Silvestri, F. and Reinelt, G. and Christoph Schn{\"o}rr}
}
@proceedings {6003,
	title = {The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors},
	volume = {44},
	year = {2015},
	pages = {145-159},
	author = {Kandemir, M and Fred A. Hamprecht}
}
@conference {Neufeld-et-al-2015a,
	title = {Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework},
	booktitle = {37th German Conference on Pattern Recognition},
	year = {2015},
	note = {in press},
	author = {Neufeld, Andreas and Johannes Berger and Florian Becker and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@conference {beier_15_fusion,
	title = {Fusion Moves for Correlation Clustering},
	booktitle = {CVPR. Proceedings},
	year = {2015},
	note = {1},
	pages = {3507-3516},
	author = {Thorsten Beier and Fred A. Hamprecht and J{\"o}rg H. Kappes}
}
@article {rubio:PR:2015,
	title = {Generative Regularization with Latent Topics for Discriminative Object Recognition},
	journal = {Pattern Recognition},
	volume = {48},
	number = {12},
	year = {2015},
	pages = {3871--3880},
	publisher = {Elsevier},
	author = {Rubio, J. C. and Eigenstetter, A. and Bj{\"o}rn Ommer}
}
@article {Schmitzer2015,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	journal = {J.~Math.~Imag.~Vision},
	volume = {52},
	number = {3},
	year = {2015},
	pages = {436--458},
	url = {http://link.springer.com/article/10.1007/s10851-014-0546-8},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {Schmitzer2015,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	journal = {J. Math. Imag. Vision},
	volume = {52},
	number = {3},
	year = {2015},
	pages = {436{\textendash}458},
	url = {http://link.springer.com/article/10.1007/s10851-014-0546-8},
	author = {Schmitzer, B. and Schn{\"o}rr, C.}
}
@conference {Alhaija2015,
	title = {Graphflow{\textemdash}6D large displacement scene flow via graph matching},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9358},
	year = {2015},
	pages = {285{\textendash}296},
	abstract = {We present an approach for computing dense scene flow from two large displacement RGB-D images. When dealing with large displacements the crucial step is to estimate the overall motion correctly. While state-of-the-art approaches focus on RGB information to establish guiding correspondences, we explore the power of depth edges. To achieve this, we present a new graph matching technique that brings sparse depth edges into correspondence. An additional contribution is the formulation of a continuous-label energy which is used to densify the sparse graph matching output. We present results on challenging Kinect images, for which we outperform state-of-the-art techniques.},
	isbn = {9783319249469},
	issn = {16113349},
	doi = {10.1007/978-3-319-24947-6_23},
	author = {Hassan Abu Alhaija and Sellent, Anita and Kondermann, Daniel and Carsten Rother}
}
@article {schiegg_15_graphical,
	title = {Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell},
	journal = {Bioinformatics},
	volume = {31},
	number = {6},
	year = {2015},
	note = {1},
	pages = {948-956},
	doi = {10.1093/bioinformatics/btu764},
	url = {http://bioinformatics.oxfordjournals.org/content/early/2014/11/17/bioinformatics.btu764.full.pdf?keytype=ref\&ijkey=mTXWsiFrci7R8tc},
	author = {Schiegg, M. and Hanslovsky, P. and Haubold, C. and Ullrich K{\"o}the and Hufnagel, L. and Fred A. Hamprecht}
}
@conference {Honauer-etal-2015-ICCV,
	title = {The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms},
	booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
	year = {2015},
	month = {December},
	abstract = {@InProceedings{Honauer_2015_ICCV,
author = {Honauer, Katrin and Maier-Hein, Lena and Kondermann, Daniel},
title = {The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2015}
} },
	author = {Katrin Honauer and Lena Maier-Hein and Daniel Kondermann}
}
@conference {krasowski_15_improving,
	title = {Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors},
	booktitle = {12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015},
	year = {2015},
	note = {1},
	pages = {536-539},
	doi = {10.1109/ISBI.2015.7163929},
	author = {Niko Krasowski and Thorsten Beier and G. W. Knott and Ullrich K{\"o}the and Fred A. Hamprecht and Anna Kreshuk}
}
@conference {Kirillov2015a,
	title = {Inferring M-best diverse labelings in a single one},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2015 Inter},
	year = {2015},
	pages = {1814{\textendash}1822},
	abstract = {We consider the task of finding M-best diverse solutions in a graphical model. In a previous work by Batra et al. an algorithmic approach for finding such solutions was proposed, and its usefulness was shown in numerous applications. Contrary to previous work we propose a novel formulation of the problem in form of a single energy minimization problem in a specially constructed graphical model. We show that the method of Batra et al. can be considered as a greedy approximate algorithm for our model, whereas we introduce an efficient specialized optimization technique for it, based on alpha-expansion. We evaluate our method on two application scenarios, interactive and semantic image segmentation, with binary and multiple labels. In both cases we achieve considerably better error rates than state-of-the art diversity methods. Furthermore, we empirically discover that in the binary label case we were able to reach global optimality for all test instances.},
	isbn = {9781467383912},
	issn = {15505499},
	doi = {10.1109/ICCV.2015.211},
	author = {Kirillov, Alexander and Savchynskyy, Bogdan and Schlesinger, Dmitrij and Vetrov, Dmitry and Carsten Rother}
}
@article {kiefhaber2015a,
	title = {Influence of natural surfactants on short wind waves in the coastal Peruvian waters},
	volume = {12},
	year = {2015},
	pages = {1291{\textendash}1325},
	doi = {10.5194/osd-12-1291-2015},
	author = {Daniel Kiefhaber and Christopher J Zappa and Bernd J{\"a}hne}
}
@conference {Schelten2015,
	title = {Interleaved regression tree field cascades for blind image deconvolution},
	booktitle = {Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015},
	year = {2015},
	pages = {494{\textendash}501},
	abstract = {Image blur from camera shake is a common cause for poor image quality in digital photography, prompting a significant recent interest in image deblurring. The vast majority of work on blind deblurring splits the problem into two subsequent steps: First, the blur process (i.e., blur kernel) is estimated, then the image is restored given the estimated kernel using a non-blind deblurring algorithm. Recent work in non-blind deblurring has shown that discriminative approaches can have clear image quality and runtime benefits over typical generative formulations. In this paper, we propose a cascade for blind deblurring that alternates between kernel estimation and discriminative deblurring using regression tree fields (RTFs). We further contribute a new dataset of realistic image blur kernels from human camera shake, which we use to train the discriminative component. Extensive qualitative and quantitative experiments show a clear gain in image quality by interleaving kernel estimation and discriminative deblurring in an iterative cascade.},
	isbn = {9781479966820},
	doi = {10.1109/WACV.2015.72},
	author = {Schelten, Kevin and Nowozin, Sebastian and Jancsary, Jeremy and Carsten Rother and Roth, Stefan}
}
@conference {Krull2015,
	title = {Learning analysis-by-synthesis for 6d pose estimation in RGB-D images},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2015 Inter},
	year = {2015},
	pages = {954{\textendash}962},
	abstract = {Analysis-by-synthesis has been a successful approach for many tasks in computer vision, such as 6D pose estimation of an object in an RGB-D image which is the topic of this work. The idea is to compare the observation with the output of a forward process, such as a rendered image of the object of interest in a particular pose. Due to occlusion or complicated sensor noise, it can be difficult to perform this comparison in a meaningful way. We propose an approach that "learns to compare", while taking these difficulties into account. This is done by describing the posterior density of a particular object pose with a convolutional neural network (CNN) that compares observed and rendered images. The network is trained with the maximum likelihood paradigm. We observe empirically that the CNN does not specialize to the geometry or appearance of specific objects. It can be used with objects of vastly different shapes and appearances, and in different backgrounds. Compared to state-of-the-art, we demonstrate a significant improvement on two different datasets which include a total of eleven objects, cluttered background, and heavy occlusion.},
	isbn = {9781467383912},
	issn = {15505499},
	doi = {10.1109/ICCV.2015.115},
	author = {Krull, Alexander and Brachmann, Eric and Michel, Frank and Yang, Michael Ying and Gumhold, Stefan and Carsten Rother}
}
@conference {funke_15_learning,
	title = {Learning to Segment: Training Hierarchical Segmentation under a Topological Loss},
	booktitle = {MICCAI. Proceedings, Part III},
	volume = {9351},
	year = {2015},
	pages = {268-275},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-24574-4},
	author = {Funke, J. and Fred A. Hamprecht and Zhang, C.},
	editor = {Frangi, A. et al.}
}
@inbook {Krolla-etal-2015-LF4CV,
	title = {Light Field from Smartphone-Based Dual Video},
	booktitle = {Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II},
	year = {2015},
	pages = {600{\textendash}610},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-16181-5},
	doi = {10.1007/978-3-319-16181-5_46},
	url = {http://dx.doi.org/10.1007/978-3-319-16181-5_46},
	author = {Bernd Krolla and Maximilian Diebold and Didier Stricker}
}
@proceedings {diebold-etal-2015-SPIE,
	title = {Light-field camera design for high-accuracy depth estimation},
	year = {2015},
	month = {06/2015},
	abstract = {Light-field imaging is a research field with applicability in a variety of imaging areas including 3D cinema, entertainment, robotics, and any task requiring range estimation. In contrast to binocular or multi-view stereo approaches, capturing light fields means densely observing a target scene through a window of viewing directions. A principal benefit in light-field imaging for range computation is that one can eliminate the error-prone and computationally expensive process of establishing correspondence. The nearly continuous space of observation allows to compute highly accurate and dense depth maps free of matching. Here, we discuss how to structure the imaging system for optimal ranging over a defined volume - what we term a bounded frustum. We detail the process of designing the light-field setup, including practical issues such as camera footprint and component size influence the depth of field, lateral and range resolution. Both synthetic and real captured scenes are used to analyze the depth precision resulting from a design, and to show how unavoidable inaccuracies such as camera position and focal length variation limit depth precision. Finally, inaccuracies may be sufficiently well compensated through calibration and must be eliminated at the outset.},
	doi = {http://dx.doi.org/10.1117/12.2184845},
	author = {Maximilian Diebold and Oliver Blum and Marcel Gutsche and Sven Wanner and Christoph S. Garbe and Harlyn Baker and Bernd J{\"a}hne}
}
@conference {diebold2015,
	title = {Light-field camera design for high-accuracy depth estimation},
	booktitle = {Videometrics, Range Imaging, and Applications XIII},
	year = {2015},
	publisher = {SPIE},
	organization = {SPIE},
	doi = {10.1117/12.2184845},
	author = {M. Diebold and O. Blum and M. Gutsche and S. Wanner and C. Garbe and H. Baker and B. J{\"a}hne},
	editor = {Fabio Remondino and Mark R. Shortis}
}
@conference {Kirillov2015,
	title = {M-best-diverse labelings for submodular energies and beyond},
	booktitle = {Advances in Neural Information Processing Systems},
	volume = {2015-Janua},
	year = {2015},
	pages = {613{\textendash}621},
	abstract = {We consider the problem of findingM best diverse solutions of energy minimization problems for graphical models. Contrary to the sequential method of Batra et al., which greedily finds one solution after another, we infer all M solutions jointly. It was shown recently that such jointly inferred labelings not only have smaller total energy but also qualitatively outperform the sequentially obtained ones. The only obstacle for using this new technique is the complexity of the corresponding inference problem, since it is considerably slower algorithm than the method of Batra et al. In this work we show that the joint inference of M best diverse solutions can be formulated as a submodular energy minimization if the original MAP-inference problem is submodular, hence fast inference techniques can be used. In addition to the theoretical results we provide practical algorithms that outperform the current state-of-the-art and can be used in both submodular and non-submodular case.},
	issn = {10495258},
	author = {Kirillov, Alexander and Schlesinger, Dmitrij and Vetrov, Dmitry and Carsten Rother and Savchynskyy, Bogdan}
}
@article {mesarchaki2015,
	title = {Measuring air{\textendash}sea gas-exchange velocities in a large-scale annular wind{\textendash}wave tank},
	journal = {Ocean Sci.},
	volume = {11},
	year = {2015},
	pages = {121--138},
	doi = {10.5194/os-11-121-2015},
	author = {Evridiki Mesarchaki and Christine Kr{\"a}uter and Kerstin Ellen Krall and Maximilian Bopp and F. Helleis and Jonathan Williams and Bernd J{\"a}hne}
}
@phdthesis {schiegg_2015_multi-target,
	title = {Multi-Target Tracking with Probabilistic Graphical Models},
	year = {2015},
	publisher = {University of Heidelberg},
	author = {Schiegg, M.}
}
@phdthesis {stapf2015,
	title = {Novel learning-based techniques for dense fluid motion measurements},
	year = {2015},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/18116},
	author = {Julian Stapf}
}
@conference {Zheng2015,
	title = {Object proposals estimation in depth image using compact 3D shape manifolds},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9358},
	year = {2015},
	pages = {196{\textendash}208},
	abstract = {Man-made objects, such as chairs, often have very large shape variations, making it challenging to detect them. In this work we investigate the task of finding particular object shapes from a single depth image. We tackle this task by exploiting the inherently low dimensionality in the object shape variations, which we discover and encode as a compact shape space. Starting from any collection of 3D models, we first train a low dimensional Gaussian Process Latent Variable Shape Space. We then sample this space, effectively producing infinite amounts of shape variations, which are used for training. Additionally, to support fast and accurate inference, we improve the standard 3D object category proposal generation pipeline by applying a shallow convolutional neural network-based filtering stage. This combination leads to considerable improvements for proposal generation, in both speed and accuracy. We compare our full system to previous state-of-the-art approaches, on four different shape classes, and show a clear improvement.},
	isbn = {9783319249469},
	issn = {16113349},
	doi = {10.1007/978-3-319-24947-6_16},
	author = {Zheng, Shuai and Prisacariu, Victor Adrian and Averkiou, Melinos and Cheng, Ming Ming and Mitra, Niloy J and Shotton, Jamie and Torr, Philip H.S. and Carsten Rother}
}
@article {jaehne2015c,
	title = {The ocean in the lab: measurements with light and shadow},
	journal = {Ruperto Carola Forschungsmagazin Heidelberg University},
	volume = {7},
	year = {2015},
	pages = {52{\textendash}59},
	doi = {10.17885/heiup.ruca.23497},
	author = {Bernd J{\"a}hne}
}
@article {friedl2015,
	title = {Optical sensing of oxygen using a modified Stern-Volmer equation for high laser irradiance},
	journal = {Sensors and Actuators B: Chemical},
	volume = {206},
	year = {2015},
	pages = {336{\textendash}342},
	doi = {10.1016/j.snb.2014.09.073},
	author = {Felix Friedl and Nils Krah and Bernd J{\"a}hne}
}
@article {friedl2015,
	title = {Optical sensing of oxygen using a modified Stern-Volmer equation for high laser irradiance},
	journal = {Sensors and Actuators B: Chemical},
	volume = {206},
	year = {2015},
	note = {Available online 30 September 2014},
	pages = {336--342},
	doi = {10.1016/j.snb.2014.09.073},
	author = {Felix Friedl and Nils Krah and Bernd J{\"a}hne}
}
@article {Mitra2015,
	title = {Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut},
	volume = {34},
	number = {7},
	year = {2015},
	abstract = {Figure-ground segmentation from bounding box input, provided either automatically or manually, has been ex-tremely popular in the last decade and influenced various applications. A lot of research has focused on high-quality segmentation, using complex formulations which often lead to slow techniques, and often hamper practi-cal usage. In this paper we demonstrate a very fast segmentation technique which still achieves very high quality results. We propose to replace the time consuming iterative refinement of global colour models in traditional GrabCut formulation by a densely connected CRF. To motivate this decision, we show that a dense CRF implicitly models unnormalized global colour models for foreground and background. Such relationship provides insightful analysis to bridge between dense CRF and GrabCut functional. We extensively evaluate our algorithm using two famous benchmarks. Our experimental results demonstrated that the proposed algorithm achieves an order of magnitude (10{\texttimes}) speed-up with respect to the closest competitor, and at the same time achieves a considerably higher accuracy.},
	keywords = {I46 [IMAGE PROCESSING AND COMPUTER VISION], partitioning, Segmentation{\textemdash}Region growing},
	url = {http://mftp.mmcheng.net/Papers/DenseCut.pdf},
	author = {Mitra, N J and Stam, J and Xu, K and Cheng, Ming-Ming and Prisacariu, Victor Adrian and Zheng, Shuai and Torr, Philip H S and Carsten Rother}
}
@conference {Mund2015,
	title = {Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons},
	booktitle = {Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems},
	year = {2015},
	pages = {85{\textendash}94},
	abstract = {Both the current system of airport ground control and the continuous implementation efforts of A-SMGCS and Remote Tower concepts require complete and independent surveillance coverage in real-time. We believe that 3D point clouds generated by an actively scanning LiDAR system available at TU Dresden may satisfy these high standards. Nonetheless, the utilization of LiDAR sensing for airport ground surveillance purposes is extremely challenging due to the unique requirement profile in this domain. This is also the reason why existing solutions in other domains such as autonomous driving and robotics are not directly applicable for airport ground surveillance. In a first step, we developed point cloud object detection and segmentation techniques to present that new data comprehensively to the airport apron controller. In this paper, we focused on the timely detection of dislocated objects (foreign object debris, forgotten equipment etc.) as a serious cause to hazardous situations on airport movement areas. The results are promising for various reference targets. However, the detection of very small objects (e.g. socket wrench) requires more elaborate algorithms to take full advantage of the current LiDAR technology. In the future we will assess the strength of LiDAR-based surveillance in terms of the number of hazardous situations that could be avoided or safely managed by the apron controller.},
	keywords = {Airport surveillance, apron control, Apron management service, FOD, Foreign object debris, laser scanning, LiDAR, Object detection, Point cloud},
	isbn = {9781450335621},
	doi = {10.1145/2899361.2899370},
	author = {Mund, Johannes and Zouhar, Alexander and Meyer, Lothar and Fricke, Hartmut and Carsten Rother}
}
@conference {Mund2015a,
	title = {Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons},
	booktitle = {Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems},
	year = {2015},
	pages = {85{\textendash}94},
	abstract = {Both the current system of airport ground control and the continuous implementation efforts of A-SMGCS and Remote Tower concepts require complete and independent surveillance coverage in real-time. We believe that 3D point clouds generated by an actively scanning LiDAR system available at TU Dresden may satisfy these high standards. Nonetheless, the utilization of LiDAR sensing for airport ground surveillance purposes is extremely challenging due to the unique requirement profile in this domain. This is also the reason why existing solutions in other domains such as autonomous driving and robotics are not directly applicable for airport ground surveillance. In a first step, we developed point cloud object detection and segmentation techniques to present that new data comprehensively to the airport apron controller. In this paper, we focused on the timely detection of dislocated objects (foreign object debris, forgotten equipment etc.) as a serious cause to hazardous situations on airport movement areas. The results are promising for various reference targets. However, the detection of very small objects (e.g. socket wrench) requires more elaborate algorithms to take full advantage of the current LiDAR technology. In the future we will assess the strength of LiDAR-based surveillance in terms of the number of hazardous situations that could be avoided or safely managed by the apron controller.},
	keywords = {Airport surveillance, apron control, Apron management service, FOD, Foreign object debris, laser scanning, LiDAR, Object detection, Point cloud},
	isbn = {9781450335621},
	doi = {10.1145/2899361.2899370},
	author = {Mund, Johannes and Zouhar, Alexander and Meyer, Lothar and Fricke, Hartmut and Carsten Rother}
}
@conference {antic:ICCV:2015,
	title = {Per-Sample Kernel Adaptation for Visual Recognition and Grouping},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2015},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Antic, B. and Bj{\"o}rn Ommer}
}
@conference {Michel2015,
	title = {Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression},
	year = {2015},
	pages = {181.1{\textendash}181.11},
	abstract = {In this paper, we address the problem of one shot pose estimation of articulated ob-jects from an RGB-D image. In particular, we consider object instances with the topol-ogy of a kinematic chain, i.e. assemblies of rigid parts connected by prismatic or revolute joints. This object type occurs often in daily live, for instance in the form of furniture or electronic devices. Instead of treating each object part separately we are using the rela-tionship between parts of the kinematic chain and propose a new minimal pose sampling approach. This enables us to create a pose hypothesis for a kinematic chain consist-ing of K parts by sampling K 3D-3D point correspondences. To asses the quality of our method, we gathered a large dataset containing four objects and 7000+ annotated RGB-D frames 1 . On this dataset we achieve considerably better results than a modified state-of-the-art pose estimation system for rigid objects.},
	doi = {10.5244/c.29.181},
	author = {Michel, Frank and Krull, Alexander and Brachmann, Eric and Yang, Michael Ying and Gumhold, Stefan and Carsten Rother}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc.~SSVM},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg H. Kappes and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Christoph Schn{\"o}rr}
}
@conference {Kappes2015c,
	title = {Probabilistic correlation clustering and image partitioning using perturbed Multicuts},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9087},
	year = {2015},
	pages = {231{\textendash}242},
	abstract = {We exploit recent progress on globally optimal MAP inference by integer programming and perturbation-based approximations of the log-partition function. This enables to locally represent uncertainty of image partitions by approximate marginal distributions in a mathematically substantiated way, and to rectify local data term cues so as to close contours and to obtain valid partitions. Our approach works for any graphically represented problem instance of correlation clustering, which is demonstrated by an additional social network example.},
	keywords = {Correlation clustering, Multicut, Perturb and MAP},
	isbn = {9783319184609},
	issn = {16113349},
	doi = {10.1007/978-3-319-18461-6_19},
	author = {Kappes, Jorg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Christoph Schn{\"o}rr}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {Kappes, J. and Swoboda, P. and Savchynskyy, B. and Hazan , T. and Schn{\"o}rr, C.}
}
@phdthesis {rathke2015,
	title = {Probabilistic Graphical Models for Medical Image Segmentation},
	year = {2015},
	publisher = {University Heidelberg},
	type = {phd},
	author = {Rathke, Fabian}
}
@conference {schiegg_15_proof-reading,
	title = {Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models},
	booktitle = {ISBI. Proceedings},
	year = {2015},
	note = {1},
	pages = {394-398},
	doi = {10.1109/ISBI.2015.7163895},
	author = {Schiegg, M. and Heuer, B. and Haubold, C. and Wolf, S. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Nair2015,
	title = {Reflection modeling for passive stereo},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2015 Inter},
	year = {2015},
	pages = {2291{\textendash}2299},
	abstract = {Stereo reconstruction in presence of reality faces many challenges that still need to be addressed. This paper considers reflections, which introduce incorrect matches due to the observation violating the diffuse-world assumption underlying the majority of stereo techniques. Unlike most existing work, which employ regularization or robust data terms to suppress such errors, we derive two least squares models from first principles that generalize diffuse world stereo and explicitly take reflections into account. These models are parametrized by depth, orientation and material properties, resulting in a total of up to 5 parameters per pixel that have to be estimated. Additionally large non-local interactions between viewed and reflected surface have to be taken into account. These two properties make inference of the model appear prohibitive, but we present evidence that inference is actually possible using a variant of patch match stereo.},
	isbn = {9781467383912},
	issn = {15505499},
	doi = {10.1109/ICCV.2015.264},
	author = {Nair, Rahul and Fitzgibbon, Andrew and Kondermann, Daniel and Carsten Rother}
}
@conference {rubio:CVPR:2015,
	title = {Regularizing Max-Margin Exemplars by Reconstruction and Generative Models},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
	year = {2015},
	pages = {4213--4221},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Rubio, J. C. and Bj{\"o}rn Ommer}
}
@conference {Berger-et-al-2015a,
	title = {Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2015)},
	year = {2015},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {Accurate camera motion estimation is a fundamental build- ing block for many Computer Vision algorithms. For improved robustness, temporal consistency of translational and rotational camera velocity is often assumed by propagating motion information forward using stochastic filters. Classical stochastic filters, however, use linear approximations for the non-linear observer model and for the non-linear structure of the underlying Lie Group SE(3) and have to approximate the unknown posteriori distribution. In this paper we employ a non-linear measurement model for the camera motion estimation problem that incorporates multiple observation equations. We solve the underlying filtering problem using a novel Minimum Energy Filter on SE(3) and give explicit expressions for the optimal state variables. Experiments on the challenging KITTI benchmark show that, although a simple motion model is only employed, our approach improves rotational velocity esti- mation and otherwise is on par with the state-of-the-art.},
	doi = {10.1007/978-3-319-18461-6_32},
	url = {http://dx.doi.org/10.1007/978-3-319-18461-6_32},
	author = {Johannes Berger and Andreas Neufeld and Florian Becker and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {Berger-et-al-2015a,
	title = {Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2015)},
	year = {2015},
	author = {Johannes Berger and Neufeld, Andreas and Florian Becker and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@booklet {Berger-et-al-2015b,
	title = {Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations},
	year = {2015},
	note = {ArXiv, preprint},
	url = {http://arxiv.org/abs/1507.06810},
	author = {Johannes Berger and Lenzen, Frank and Florian Becker and Neufeld, Andreas and Christoph Schn{\"o}rr}
}
@booklet {Berger-et-al-2015b,
	title = {Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations},
	year = {2015},
	abstract = {Camera motion estimation from observed scene features is an important task in image processing to increase the accuracy of many methods, e.g. optical flow and structure-from-motion. Due to the curved geometry of the state space SE(3) and the non-linear relation to the observed optical flow, many recent filtering approaches use a first-order approximation and assume a Gaussian a posteriori distribution or restrict the state to Euclidean geometry. The physical model is usually also limited to uniform motions. 
We propose a second-order minimum energy filter with a generalized kinematic model that copes with the full geometry of SE(3) as well as with the nonlinear dependencies between the state space and observations. The derived filter enables reconstructing motions correctly for synthetic and real scenes, e.g. from the KITTI benchmark. Our experiments confirm that the derived minimum energy filter with higher-order state differential equation copes with higher-order kinematics and is also able to minimize model noise. We also show that the proposed filter is superior to state-of-the-art extended Kalman filters on Lie groups in the case of linear observations and that our method reaches the accuracy of modern visual odometry methods.},
	keywords = {Constant Acceleration Model, Lie Group, Minimum Energy Filter, Optimal Control, Recursive Filtering, Visual Odometry},
	url = {http://arxiv.org/abs/1507.06810},
	author = {Johannes Berger and Frank Lenzen and Florian Becker and Andreas Neufeld and Christoph Schn{\"o}rr}
}
@conference {Zouhar2015,
	title = {Semantic 3-D labeling of ear implants using a global parametric transition prior},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9350},
	year = {2015},
	pages = {177{\textendash}184},
	abstract = {In this work we consider the problem of sematic part-labeling of 3-D meshesof ear implants. This is a challenging problem and automatic solutions are of high practical relevance, since they help to automate the design of hearing aids. The contribution of this work is a new framework which outperforms existing approaches for this task. To achieve the boost in performance we introduce the new concept of a global parametric transition prior. To our knowledge, this is the first time that such a generic prior is used for 3-D mesh processing, and it may be found useful for a large class of 3-D meshes. To foster more research on the important topic of ear implant labeling, we collected a large data set of 3-D meshes, with associated ground truth labels, which we will make publicly available.},
	isbn = {9783319245706},
	issn = {16113349},
	doi = {10.1007/978-3-319-24571-3_22},
	author = {Zouhar, Alexander and Carsten Rother and Fuchs, Siegfried}
}
@article {Didden2014,
	title = {Shape from Texture using Locally Scaled Point Processes},
	journal = {Image Anal. Stereol.},
	volume = {34},
	number = {3},
	year = {2015},
	pages = {161-170},
	author = {Didden, E.-M. and Thorarinsdottir, T.L. and Lenkoski, A. and Schn{\"o}rr, C.}
}
@conference {LenzenBerger2015,
	title = {Solution-Driven Adaptive Total Variation Regularization},
	booktitle = {LNCS},
	year = {2015},
	note = {in press},
	author = {Lenzen, Frank and Johannes Berger}
}
@conference {LenzenBerger2015,
	title = {Solution-Driven Adaptive Total Variation Regularization},
	booktitle = {LNCS},
	year = {2015},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {We consider solution-driven adaptive variants of Total Variation, in which the adaptivity is introduced as a fixed point problem. We provide existence theory for such fixed points in the continuous domain. For the applications of image denoising, deblurring and inpainting, we provide experiments which demonstrate that our approach in most cases outperforms state-of-the-art regularization approaches.},
	doi = {10.1007/978-3-319-18461-6_17},
	url = {http://dx.doi.org/10.1007/978-3-319-18461-6_17},
	author = {Frank Lenzen and Johannes Berger}
}
@mastersthesis {peter_15_spatio-temporal,
	title = {Spatio-Temporal Motif Deconvolution for Calcium Image Analysis},
	year = {2015},
	school = {University of Heidelberg},
	type = {Master Thesis},
	author = {Peter, S.}
}
@conference {antic:MICCAI:2015,
	title = {Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {Antic, B. and Uta B{\"u}chler and Anna-Sophia Wahl and M. E. Schwab and Bj{\"o}rn Ommer}
}
@article {antic:arXiv:2015,
	title = {Spatio-temporal Video Parsing for Abnormality Detection},
	journal = {arXiv},
	volume = {abs/1502.06235},
	year = {2015},
	url = {http://arxiv.org/abs/1502.06235},
	author = {Antic, B. and Bj{\"o}rn Ommer}
}
@inbook {Kondermann-etal-2015-ACCV,
	title = {Stereo Ground Truth with Error Bars},
	booktitle = {Computer Vision {\textendash} ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V},
	year = {2015},
	pages = {595{\textendash}610},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {Creating stereo ground truth based on real images is a measurement task. Measurements are never perfectly accurate: the depth at each pixel follows an error distribution. A common way to estimate the quality of measurements are error bars. In this paper we describe a methodology to add error bars to images of previously scanned static scenes. The main challenge for stereo ground truth error estimates based on such data is the nonlinear matching of 2D images to 3D points. Our method uses 2D feature quality, 3D point and calibration accuracy as well as covariance matrices of bundle adjustments. We sample the reference data error which is the 3D depth distribution of each point projected into 3D image space. The disparity distribution at each pixel location is then estimated by projecting samples of the reference data error on the 2D image plane. An analytical Gaussian error propagation is used to validate the results. As proof of concept, we created ground truth of an image sequence with 100 frames. Results show that disparity accuracies well below one pixel can be achieved, albeit with much large errors at depth discontinuities mainly caused by uncertain estimates of the camera location.},
	isbn = {978-3-319-16814-2},
	doi = {10.1007/978-3-319-16814-2_39},
	url = {http://dx.doi.org/10.1007/978-3-319-16814-2_39},
	author = {Daniel Kondermann and Nair, Rahul and Stephan Meister and Wolfgang Mischler and G{\"u}ssefeld, Burkhard and Katrin Honauer and Sabine Hofmann and Brenner, Claus and Bernd J{\"a}hne}
}
@article {cali_15_three-dimensional,
	title = {Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues},
	journal = {Journal of Comparative Neurology},
	volume = {524},
	year = {2015},
	pages = {23-38},
	doi = {10.1002/cne.23852},
	author = {Cali, C. and Baghabra, J. and Boges, D. J. and Holst, G. R. and Anna Kreshuk and Fred A. Hamprecht and Srinivasan, M. and Lehv{\"a}slaiho, H. and Magistretti, P. J.}
}
@conference {Kappes2015b,
	title = {TomoGC: Binary Tomography by Constrained Graph Cuts},
	booktitle = {Proc.~GCPR},
	year = {2015},
	author = {J{\"o}rg H. Kappes and Stefania Petra and Christoph Schn{\"o}rr and M. Zisler}
}
@conference {Kappes2015b,
	title = {TomoGC: Binary Tomography by Constrained Graph Cuts},
	booktitle = {Proc. GCPR},
	year = {2015},
	author = {Kappes, J.H. and Petra, S. and Schn{\"o}rr, C. and M. Zisler}
}
@article {kauppi_15_towards,
	title = {Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals},
	journal = {NeuroImage},
	volume = {112},
	year = {2015},
	note = {1},
	pages = {288-298},
	doi = {10.1016/j.neuroimage.2014.12.079},
	author = {Kauppi, J .P. and Kandemir, M. and Saarinen, V .M. and Hirvenkari, L. and Parkkonen, L. and Klami, A. and Hari, R. and Kaski, S.}
}
@phdthesis {trofimova2015a,
	title = {Towards Four Dimensional Visualization of Air-Water Gas Exchange},
	volume = {Dissertation},
	year = {2015},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00019066},
	author = {Darya Trofimova}
}
@article {bell:KunstChr:2015,
	title = {Training Argus},
	journal = {Kunstchronik. Monatsschrift f{\"u}r Kunstwissenschaft, Museumswesen und Denkmalpflege},
	volume = {68},
	number = {8},
	year = {2015},
	pages = {414--420},
	publisher = {Zentralinstitut f{\"u}r Kunstgeschichte},
	author = {Bell, P. and Bj{\"o}rn Ommer}
}
@incollection {Richmond2015,
	title = {Uncertainty-driven forest predictors for vertebra localization and segmentation},
	volume = {9349},
	year = {2015},
	pages = {653{\textendash}660},
	abstract = {Accurate localization, identification and segmentation of vertebrae is an important task in medical and biological image analysis. The prevailing approach to solve such a task is to first generate pixelindependent features for each vertebra, e.g. via a random forest predictor, which are then fed into an MRF-based objective to infer the optimal MAP solution of a constellation model. We abandon this static, twostage approach and mix feature generation with model-based inference in a new, more flexible, way. We evaluate our method on two data sets with different objectives. The first is semantic segmentation of a 21-part body plan of zebrafish embryos in microscopy images, and the second is localization and identification of vertebrae in benchmark human CT.},
	issn = {16113349},
	doi = {10.1007/978-3-319-24553-9_80},
	author = {Richmond, David and Kainmueller, Dagmar and Glocker, Ben and Carsten Rother and Myers, Gene}
}
@mastersthesis {arnold2015,
	title = {Visualisierung des Gasaustauschs an der windbewegten Wasseroberfl{\"a}che mittels vertikaler Konzentrationsfelder von gel{\"o}stem Sauerstoff quer zur Windrichtung},
	year = {2015},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersBachelor{\textquoteright}s thesis},
	abstract = {A measuring technique for oxygen concentration fields is presented in this study. The technique is based on the method of laser induced-fluorescence (LIF). A fluorescent a water soluble ruthenium complex, which is dynamically quenched by oxygen, is used. In order to measure two dimensional fields, a lasersheet is created dynamically through a rotating polygon mirror wheel. With a spatial resolution of 43 {\textmu}m and a recording frequency of 150 Hz it is possible to record fast processes within the mass boundary layerat the air-water interface. First measurements at a linear wind-wave facility show interesting events, which are presented in the form of videos. Calculation of mean concentration profiles out of the measured data provide results for the thinkness of the mass boundary layer and the transfer velocity in the estimated order of magnitude.},
	doi = {10.11588/heidok.00018411},
	author = {Arnold, Niklas}
}
@phdthesis {kraeuter2015,
	title = {Visualization of air-water gas exchange},
	volume = {Dissertation},
	year = {2015},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.11588/heidok.00018209},
	author = {Christine Kr{\"a}uter}
}
@article {kiefhaber2015b,
	title = {Water wave measurement from stereo images of specular reflections},
	volume = {26},
	year = {2015},
	pages = {115401},
	abstract = {A new optical instrument for the study of ocean waves, the Reflective Stereo Slope Gauge, has been developed. Its purpose is to measure ocean wave field parameters that are crucial to the air-sea exchange of momentum, heat and gases. The instrument combines a statistical wave slope measurement method similar to Cox and Munk{\textquoteright}s sun glitter technique with a dedicated stereo camera and associated illumination setup for direct wave height measurements. The instrument output was validated under controlled conditions in a wind-wave facility.},
	doi = {10.1088/0957-0233/26/11/115401},
	author = {Daniel Kiefhaber and Guillemette Caulliez and Christopher J Zappa and Julia Schaper and Bernd J{\"a}hne}
}
@proceedings {kreshuk_15_who,
	title = {Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain},
	volume = {LNCS 9349},
	year = {2015},
	pages = {661-668},
	publisher = {Springer},
	doi = {10.1007/978-3-319-24553-9_81},
	author = {Anna Kreshuk and Funke, J. and A. Cardona and Fred A. Hamprecht}
}
@conference {Kainmueller2014,
	title = {Active graph matching for automatic joint segmentation and annotation of C. elegans},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8673 LNCS},
	number = {PART 1},
	year = {2014},
	pages = {81{\textendash}88},
	abstract = {In this work we present a novel technique we term active graph matching, which integrates the popular active shape model into a sparse graph matching problem. This way we are able to combine the benefits of a global, statistical deformation model with the benefits of a local deformation model in form of a second-order random field. We present a new iterative energy minimization technique which achieves empirically good results. This enables us to exceed state-of-the art results for the task of annotating nuclei in 3D microscopic images of C. elegans. Furthermore with the help of the generalized Hough transform we are able to jointly segment and annotate a large set of nuclei in a fully automatic fashion for the first time. {\textcopyright} 2014 Springer International Publishing.},
	isbn = {9783319104034},
	issn = {16113349},
	doi = {10.1007/978-3-319-10404-1_11},
	author = {Kainmueller, Dagmar and Jug, Florian and Carsten Rother and Myers, Gene}
}
@article {lou_14_active,
	title = {Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {33 (4)},
	year = {2014},
	pages = {849-860},
	doi = {10.1109/TMI.2013.2296937},
	author = {Lou, X. and Schiegg, M. and Fred A. Hamprecht}
}
@phdthesis {nagel2014,
	title = {Active Thermography to Investigate Small-Scale Air-Water Transport Processes in the Laboratory and the Field},
	volume = {Dissertation},
	year = {2014},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Chemie und Geowissenschaften, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/16831},
	author = {Leila Nagel}
}
@conference {krall2014b,
	title = {Air-sea gas exchange and momentum transfer: turbulence and Schmidt number dependency},
	booktitle = {7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014},
	year = {2014},
	doi = {10.5281/zenodo.10903},
	author = {Kerstin Ellen Krall and Bernd J{\"a}hne}
}
@conference {krall2014a,
	title = {Air-sea gas exchange under nature-like surfactant influence in the lab},
	booktitle = {7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014},
	year = {2014},
	doi = {10.5281/zenodo.10900},
	author = {Kerstin Ellen Krall and Klaus Schneider-Zapf and Svenja Reith and Daniel Kiefhaber and Bernd J{\"a}hne}
}
@conference {takami:GCH:2014,
	title = {An Approach to Large Scale Interactive Retrieval of Cultural Heritage},
	booktitle = {Eurographics Workshop on Graphics and Cultural Heritage},
	year = {2014},
	publisher = {The Eurographics Association},
	organization = {The Eurographics Association},
	author = {Takami, M. and Bell, P. and Bj{\"o}rn Ommer}
}
@conference {guessefeld2014,
	title = {Are reflectance field renderings appropriate for optical flow evaluation?},
	booktitle = {International Conference on Image Processing, ICIP 2014},
	year = {2014},
	author = {G{\"u}ssefeld, Burkhard and Daniel Kondermann and Schwartz, Christopher and Klein, Reinhard}
}
@article {Horn2014,
	title = {Arriving at Z / f},
	year = {2014},
	pages = {1{\textendash}2},
	author = {Horn, Michael}
}
@conference {Kroeger-2014,
	title = {Asymmetric Cuts: Joint Image Labeling and Partitioning},
	booktitle = {36th German Conference on Pattern Recognition},
	year = {2014},
	author = {Kr{\"o}ger, Thorben and Kappes, J{\"o}rg H. and Thorsten Beier and K{\"o}the, Ullrich and Fred A. Hamprecht}
}
@conference {kroeger_14_asymmetric,
	title = {Asymmetric Cuts: Joint Image Labeling and Partitioning},
	booktitle = {Pattern Recognition - 36th German Conference, {GCPR} 2014, M{\"u}nster, Germany, September 2-5, 2014, Proceedings},
	year = {2014},
	doi = {10.1007/978-3-319-11752-2_16},
	url = {http://dx.doi.org/10.1007/978-3-319-11752-2_16},
	author = {Thorben Kr{\"o}ger and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {Wahl:Science:2014,
	title = {Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke},
	journal = {Science},
	volume = {344},
	number = {6189},
	year = {2014},
	pages = {1250--1255},
	publisher = {American Association for The Advancement of Science},
	url = {http://www.sciencemag.org/content/344/6189/1250},
	author = {Anna-Sophia Wahl and Omlor, W. and Rubio, J. C. and Chen, J. L. and Zheng, H. and Schr{\"o}ter, A. and Gullo, M. and Weinmann, O. and Kobayashi, K. and F. Helmchen and Bj{\"o}rn Ommer and M. E. Schwab}
}
@mastersthesis {decker_automated,
	title = {Automated Animal Behavior Classification},
	year = {2014},
	school = {University of Heidelberg},
	author = {Decker, C.}
}
@conference {tek_14_automated,
	title = {Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue},
	booktitle = {ISBI. Proceedings},
	year = {2014},
	note = {1},
	pages = {69-72},
	doi = {10.1109/ISBI.2014.6867811},
	author = {Tek, B. F. and Thorben Kr{\"o}ger and Mikula, S. and Fred A. Hamprecht}
}
@article {kreshuk_14_automated,
	title = {Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks},
	journal = {PLoS ONE},
	volume = {9},
	year = {2014},
	note = {1},
	pages = {2},
	doi = {10.1371/journal.pone.0087351},
	author = {Anna Kreshuk and Ullrich K{\"o}the and Pax, E. and Bock, D. D. and Fred A. Hamprecht}
}
@article {Petra2014,
	title = {Average Case Recovery Analysis of Tomographic Compressive Sensing},
	journal = {Linear Algebra and its Applications},
	volume = {441},
	year = {2014},
	note = {Special issue on Sparse Approximate Solution of Linear Systems},
	pages = {168-198},
	author = {Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {maierhein2014,
	title = {Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images},
	booktitle = {MICCAI},
	year = {2014},
	author = {Lena Maier-Hein and Sven Mersmann and Daniel Kondermann and Bodenstedt, S. and Sanchez, A. and C. Stock and Kenngott, H. and Eisenmann, M. and Speidel, S.}
}
@conference {welbl_14_casting,
	title = {Casting Random Forests as Artificial Neural Networks (and Profiting from It)},
	booktitle = {GCPR. Proceedings},
	number = {8753},
	year = {2014},
	note = {1},
	pages = {765-771},
	doi = {10.1007/978-3-319-11752-2_66},
	author = {Welbl, J.}
}
@conference {zhang_14_cell,
	title = {Cell detection and segmentation using correlation clustering},
	booktitle = {MICCAI. Proceedings},
	number = {8673},
	year = {2014},
	note = {1},
	pages = {9-16},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-10404-1_2},
	author = {Zhang, C. and Julian Yarkony and Fred A. Hamprecht}
}
@article {nagel2014a,
	title = {Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank},
	journal = {Ocean Sci. Discuss.},
	volume = {11},
	year = {2014},
	pages = {1691--1718},
	doi = {10.5194/osd-11-1691-2014},
	author = {Leila Nagel and Kerstin Ellen Krall and Bernd J{\"a}hne}
}
@article {kappes_14_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured
Discrete Energy Minimization Problems},
	journal = {CoRR},
	year = {2014},
	note = {1},
	url = {http://arxiv.org/abs/1404.0533},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {kappes-1014-bench-arxiv,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {CoRR},
	volume = {abs/1404.0533},
	year = {2014},
	url = {http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {kandemir_14_computer-aided,
	title = {Computer-aided diagnosis from weak supervision: A benchmarking study},
	journal = {Computerized Medical Imaging and Graphics},
	volume = {42},
	year = {2014},
	note = {1},
	pages = {44-50},
	doi = {10.1016/j.compmedimag.2014.11.010},
	author = {Kandemir, M. and Fred A. Hamprecht}
}
@phdthesis {meister2014,
	title = {On Creating Reference Data for Performance Analysis in Image Processing},
	year = {2014},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/16193},
	author = {Stephan Meister}
}
@phdthesis {meister2014,
	title = {On Creating Reference Data for Performance Analysis in Image Processing},
	volume = {Dissertation},
	year = {2014},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00016193},
	author = {Stephan Nicolas Robert Meister}
}
@conference {maierhein2014a,
	title = {Crowdsourcing for reference correspondence generation in endoscopic images},
	booktitle = {MICCAI},
	year = {2014},
	author = {Lena Maier-Hein and Sven Mersmann and Daniel Kondermann and C. Stock and Kenngott, H. and Sanchez, A. and Wagner, M. and Preukschas, A. and Wekerle, A. -L. and Helfert, S. and Bodenstedt, S. and Speidel, S.}
}
@conference {beier_14_cut,
	title = {Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning},
	booktitle = {2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014},
	year = {2014},
	doi = {10.1109/CVPR.2014.17},
	url = {http://dx.doi.org/10.1109/CVPR.2014.17},
	author = {Thorsten Beier and Thorben Kr{\"o}ger and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Zheng2014,
	title = {Dense semantic image segmentation with objects and attributes},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2014},
	pages = {3214{\textendash}3221},
	abstract = {The concepts of objects and attributes are both important for describing images precisely, since verbal descriptions often contain both adjectives and nouns (e.g. {\textquoteright}I see a shiny red chair{\textquoteright}). In this paper, we formulate the problem of joint visual attribute and object class image segmentation as a dense multi-labelling problem, where each pixel in an image can be associated with both an object-class and a set of visual attributes labels. In order to learn the label correlations, we adopt a boosting-based piecewise training approach with respect to the visual appearance and co-occurrence cues. We use a filtering-based mean-field approximation approach for efficient joint inference. Further, we develop a hierarchical model to incorporate region-level object and attribute information. Experiments on the aPASCAL, CORE and attribute augmented NYU indoor scenes datasets show that the proposed approach is able to achieve state-of-the-art results.},
	keywords = {Attributes, Image segmentation, Object recognition, Scene Understanding},
	isbn = {9781479951178},
	issn = {10636919},
	doi = {10.1109/CVPR.2014.411},
	url = {http://www.robots.ox.ac.uk/\~{}tvg/http://tu-dresden.de/inf/cvld},
	author = {Zheng, Shuai and Cheng, Ming Ming and Warrell, Jonathan and Sturgess, Paul and Vineet, Vibhav and Carsten Rother and Torr, Philip H.S.}
}
@conference {decker_14_detecting,
	title = {Detecting individual body parts improves mouse behavior classification},
	booktitle = {Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings},
	year = {2014},
	note = {1},
	author = {Decker, C. and Fred A. Hamprecht}
}
@article {Eyjolfsdottir2014,
	title = {Detection of social actions in fruit flies},
	journal = {Lecture Notes in Computer Science},
	volume = {8690},
	number = {September 2014},
	year = {2014},
	pages = {772{\textendash}787},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {Spatio-temporal detection of actions and events in video is a challenging problem. Besides the difficulties related to recognition, a major challenge for detection in video is the size of the search space defined by spatio-temporal tubes formed by sequences of bounding boxes along the frames. Recently methods that generate unsupervised detection proposals have proven to be very effective for object detection in still images. These methods open the possibility to use strong but computationally expensive features since only a relatively small number of detection hypotheses need to be assessed. In this paper we make two contributions towards exploiting detection proposals for spatio-temporal detection problems. First, we extend a recent 2D object proposal method, to produce spatio-temporal proposals by a randomized supervoxel merging process. We introduce spatial, temporal, and spatio-temporal pairwise supervoxel features that are used to guide the merging process. Second, we propose a new efficient supervoxel method. We experimentally evaluate our detection proposals, in combination with our new supervoxel method as well as existing ones. This evaluation shows that our supervoxels lead to more accurate proposals when compared to using existing state-of-the-art supervoxel methods.},
	isbn = {978-3-319-10604-5},
	issn = {16113349},
	doi = {10.1007/978-3-319-10605-2},
	url = {http://link.springer.com/10.1007/978-3-319-10605-2 http://www.ncbi.nlm.nih.gov/pubmed/31629782},
	author = {Eyjolfsdottir, Eyrun and Branson, Steve and Burgos-Artizzu, Xavier P. and Hoopfer, Eric D. and Schor, Jonathan and Anderson, David J. and Perona, Pietro},
	editor = {Fleet, David and Pajdla, Tomas and Schiele, Bernt and Tuytelaars, Tinne}
}
@article {kandemir_14_digital,
	title = {Digital Pathology: Multiple instance learning can detect Barrett{\textquoteright}scancer},
	year = {2014},
	pages = {1348-1351},
	doi = {10.1109/ISBI.2014.6868127},
	author = {Kandemir, M. and Feuchtinger, A. and Walch, A. and Fred A. Hamprecht}
}
@conference {kandemir_14_empowering,
	title = {Empowering multiple instance histopathology cancer diagnosis by cell graphs},
	booktitle = {MICCAI. Proceedings},
	volume = {8674},
	year = {2014},
	note = {1},
	pages = {228-235},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-10470-6_29},
	author = {Kandemir, M. and Zhang, C. and Fred A. Hamprecht}
}
@conference {Denitiu2014,
	title = {An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography},
	booktitle = {Discrete Geometry for Computer Imagery (DGCI) 2014},
	year = {2014},
	pages = {262--274},
	publisher = {Springer},
	organization = {Springer},
	author = {Andreea Denitiu and Stefania Petra and Schn{\"o}rr, Claudius and Christoph Schn{\"o}rr},
	editor = {Elena Barcucci and Frosini, Andrea and Eds Rinaldi, Simone}
}
@conference {Denitiu2014,
	title = {An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography},
	booktitle = {Discrete Geometry for Computer Imagery (DGCI) 2014},
	series = {LNCS},
	year = {2014},
	pages = {262{\textendash}274},
	publisher = {Springer},
	organization = {Springer},
	author = {Andreea Denitiu and Petra, Stefania and Schn{\"o}rr, Claudius and Christoph Schn{\"o}rr},
	editor = {Elena Barcucci and Frosini,Andrea and Eds Rinaldi,Simone}
}
@mastersthesis {rennebaum2014,
	title = {Entwicklung einer reflexionsbasierten Technik zur Messung statistischer Parameter von Windwellen auf der Wasseroberfl{\"a}che im Labor und Feld},
	year = {2014},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	author = {Rennebaum, Andreas}
}
@conference {kandemir:MICCAI:2014,
	title = {Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention},
	year = {2014},
	pages = {154--161},
	publisher = {Springer},
	organization = {Springer},
	author = {Kandemir, M and Rubio, J. C. and Schmidt, U. and Wojek, C. and Welbl, J. and Bj{\"o}rn Ommer and Fred A. Hamprecht}
}
@conference {kandemir_14_event,
	title = {Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures},
	booktitle = {MICCAI. Proceedings},
	number = {8674},
	year = {2014},
	note = {1},
	pages = {154-161},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-10470-6_20},
	author = {Kandemir, M. and Rubio, J. C. and Schmidt, U. and Welbl, J. and Bj{\"o}rn Ommer and Fred A. Hamprecht}
}
@conference {esparza2014b,
	title = {Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view},
	booktitle = {Intelligent Vehicles Symposium Proceedings},
	year = {2014},
	pages = {1276--1281},
	doi = {10.1109/IVS.2014.6856403},
	author = {Knorr, M. and Esparza, J. and Niehsen, W. and Stiller, C.}
}
@article {krall2014,
	title = {First laboratory study of air-sea gas exchange at hurricane wind speeds},
	journal = {Ocean Sci.},
	volume = {10},
	year = {2014},
	pages = {257--265},
	doi = {10.5194/os-10-257-2014},
	author = {Kerstin Ellen Krall and Bernd J{\"a}hne}
}
@booklet {SchmitzerSchnoerr-WassersteinModes2014,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	year = {2014},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@booklet {SchmitzerSchnoerr-WassersteinModes2014,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	year = {2014},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@mastersthesis {beier_14_graph,
	title = {Graph based image analysis},
	year = {2014},
	school = {University of Heidelberg},
	author = {Thorsten Beier}
}
@article {lindner_14_hexicon,
	title = {Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation},
	journal = {Journal of The American Society for Mass Spectrometry},
	volume = {25},
	year = {2014},
	note = {1},
	pages = {1018-1028},
	doi = {10.1007/s13361-014-0850-y},
	author = {Lindner, R. and Lou, X. and Reinstein, J. and Shoeman, R. L. and Fred A. Hamprecht and Winkler, A.}
}
@conference {yarkony_14_hierarchical,
	title = {Hierarchical Planar Correlation Clustering for Cell Segmentation},
	booktitle = {EMMCVPR. Proceedings},
	volume = {8932},
	year = {2014},
	note = {1},
	pages = {492-504},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-14612-6_36},
	author = {Julian Yarkony and Zhang, C. and Fowlkes, C. C.}
}
@article {kraeuter2014,
	title = {High resolution 2-D fluorescence imaging of the mass boundary layer thickness at free water surfaces},
	journal = {J. Europ. Opt. Soc. Rap. Public.},
	volume = {9},
	year = {2014},
	pages = {14016},
	doi = {10.2971/jeos.2014.14016},
	author = {Christine Kr{\"a}uter and Darya Trofimova and Daniel Kiefhaber and Nils Krah and Bernd J{\"a}hne}
}
@conference {Hornacek2014,
	title = {Highly overparameterized optical flow using PatchMatch belief propagation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8691 LNCS},
	number = {PART 3},
	year = {2014},
	pages = {220{\textendash}234},
	abstract = {Motion in the image plane is ultimately a function of 3D motion in space. We propose to compute optical flow using what is ostensibly an extreme overparameterization: depth, surface normal, and frame-to-frame 3D rigid body motion at every pixel, giving a total of 9 DoF. The advantages of such an overparameterization are twofold: first, geometrically meaningful reasoning can be called upon in the optimization, reflecting possible 3D motion in the underlying scene; second, the {\textquoteright}fronto-parallel{\textquoteright} assumption implicit in the use of traditional matching pixel windows is ameliorated because the parameterization determines a plane-induced homography at every pixel. We show that optimization over this high-dimensional, continuous state space can be carried out using an adaptation of the recently introduced PatchMatch Belief Propagation (PMBP) energy minimization algorithm, and that the resulting flow fields compare favorably to the state of the art on a number of small- and large-displacement datasets. {\textcopyright} 2014 Springer International Publishing.},
	keywords = {9 DoF, large displacement, optical flow, PatchMatch, PMBP},
	isbn = {9783319105772},
	issn = {16113349},
	doi = {10.1007/978-3-319-10578-9_15},
	author = {Horn{\'a}{\v c}ek, Michael and Besse, Frederic and Kautz, Jan and Fitzgibbon, Andrew and Carsten Rother}
}
@conference {kraeuter2014a,
	title = {High-resolution 2-D fluorescence imaging of gas transfer at a free water surface},
	booktitle = {Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii},
	year = {2014},
	abstract = {A novel 2-D fluorescence imaging technique has been developed to visualize gas exchange between air and water using ammonia as a tracer. Fluorescence is stimulated by high-power LEDs and is observed from above with a low-noise, high-resolution and high-speed camera. The invasion of ammonia into water leads to an increase in pH (from a starting value of 4), which is visualized with a fluorescent dye. The flux of ammonia can be controlled by controlling its air-side concentration. A higher flux leads to an increase of the thickness of the layer, from which fluorescent light is emitted (pH > 7). In this way, a varying fraction of the thickness of the aqueous mass boundary layer is imaged. In addition to the fluorescence measurement, we conducted collocated and simultaneous thermography and wave imaging measurements. With this data set, it is possible to compare heat and gas transfer and to investigate the effect of waves on both transfer processes. First results will be presented.},
	doi = {10.5281/zenodo.12330},
	author = {Christine Kr{\"a}uter and Darya Trofimova and Leila Nagel and Bernd J{\"a}hne}
}
@article {kiefhaber2014a,
	title = {High-speed imaging of short wind waves by shape from refraction},
	journal = {J. Europ. Opt. Soc. Rap. Public.},
	volume = {9},
	year = {2014},
	pages = {14015},
	doi = {10.2971/jeos.2014.14015},
	author = {Daniel Kiefhaber and Svenja Reith and Roland Rocholz and Bernd J{\"a}hne}
}
@conference {kleesiek_14_ilastik,
	title = {ilastik for Multi-modal Brain Tumor Segmentation},
	booktitle = {MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace},
	year = {2014},
	pages = {12-17},
	author = {Kleesiek, J. and A. Biller and Urban, G. and Ullrich K{\"o}the and M. Bendszus and Fred A. Hamprecht}
}
@mastersthesis {blumenthal_14_information-geometric,
	title = {Information-Geometric Optimization for Image Segmentation},
	year = {2014},
	school = {University of Heidelberg},
	author = {Blumenthal, F.}
}
@conference {kandemir_14_instance,
	title = {Instance Label Prediction by Dirichlet Process Multiple Instance Learning},
	booktitle = {UAI. Proceedings},
	year = {2014},
	note = {1},
	author = {Kandemir, M. and Fred A. Hamprecht}
}
@phdthesis {straehle_14_interactive,
	title = {Interactive Segmentation, Uncertainty and Learning},
	year = {2014},
	publisher = {University of Heidelberg},
	author = {Christoph N. Straehle}
}
@conference {Hoai2014,
	title = {Learning discriminative localization from weakly labeled data},
	booktitle = {Pattern Recognition},
	volume = {47},
	number = {3},
	year = {2014},
	month = {mar},
	pages = {1523{\textendash}1534},
	abstract = {Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the maximum classifier score is used for class decision. Traditionally, the subwindow classifiers are trained on a large collection of examples manually annotated with masks or bounding boxes. The reliance on time-consuming human labeling effectively limits the application of these methods to problems involving very few categories. Furthermore, the human selection of the masks introduces arbitrary biases (e.g., in terms of window size and location) which may be suboptimal for classification. We propose a novel method for learning a discriminative subwindow classifier from examples annotated with binary labels indicating the presence of an object or action of interest, but not its location. During training, our approach simultaneously localizes the instances of the positive class and learns a subwindow SVM to recognize them. We extend our method to classification of time series by presenting an algorithm that localizes the most discriminative set of temporal segments in the signal. We evaluate our approach on several datasets for object and action recognition and show that it achieves results similar and in many cases superior to those obtained with full supervision. {\textcopyright} 2013 Elsevier Ltd. All rights reserved.},
	keywords = {Discriminative discovery, Event detection, Image classification, Object detection, Time series classification, Weakly supervised learning},
	issn = {00313203},
	doi = {10.1016/j.patcog.2013.09.028},
	author = {Hoai, Minh and Torresani, Lorenzo and De La Torre, Fernando and Carsten Rother}
}
@conference {antic:ECCV:2014,
	title = {Learning Latent Constituents for Recognition of Group Activities in Video},
	booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) (Oral)},
	year = {2014},
	pages = {33--47},
	publisher = {Springer},
	organization = {Springer},
	author = {Antic, B. and Bj{\"o}rn Ommer}
}
@phdthesis {kroeger-14_learning-based,
	title = {Learning-based Segmentation for Connectomics},
	year = {2014},
	publisher = {University of Heidelberg},
	author = {Thorben Kr{\"o}ger}
}
@mastersthesis {bopp2014,
	title = {Luft- und wasserseitige Str{\"o}mungsverh{\"a}ltnisse im ringf{\"o}rmigen Heidelberger Wind-Wellen-Kanal (Aeolotron)},
	year = {2014},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/17151},
	author = {Maximilian Bopp}
}
@mastersthesis {bopp2014,
	title = {Luft- und wasserseitige Str{\"o}mungsverh{\"a}ltnisse im ringf{\"o}rmigen Heidelberger Wind-Wellen-Kanal (Aeolotron)},
	year = {2014},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersMaster{\textquoteright}s thesis},
	doi = {10.11588/heidok.00017151},
	author = {Maximilian Bopp}
}
@conference {Kappes-2014,
	title = {MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves},
	booktitle = {International Workshop on Graphical Models in Computer Vision},
	year = {2014},
	author = {Kappes, Jorg Hendrik and Thorsten Beier and Christoph Schn{\"o}rr}
}
@conference {kappes_14_map,
	title = {MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves},
	booktitle = {Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {II}},
	year = {2014},
	doi = {10.1007/978-3-319-16181-5_37},
	url = {http://dx.doi.org/10.1007/978-3-319-16181-5_37},
	author = {J{\"o}rg H. Kappes and Thorsten Beier and Christoph Schn{\"o}rr}
}
@conference {kiefhaber2014b,
	title = {Measurement of wind waves statistics from specular reflections},
	booktitle = {Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii},
	year = {2014},
	abstract = {The Reflective Stereo Slope Gauge (RSSG) [1] was deployed to two cruises in the tropical Pacific Ocean in Dec. 2011 and Dec. 2012 to measure statistics of small-scale wind waves. During the cruises, both open ocean (Samoa - Hawaii, OSSPRE 2011 on R/V Kilo Moana) and coastal upwelling (off Peru, M91 on German FS Meteor) areas were studied. Surface displacement (wave height time series with 50 Hz sampling rate) was measured by a stereo system with two light sources (Helmholtz stereopsis), while statistics of surface slope were obtained using a method related to Cox \& Munk{\textquoteright}s sun glitter technique [2]. Furthermore, information on the scale of the smallest waves was gained from the brightness of specular reflections (which is related to surface curvature). This parameter is useful for determining the presence of surface slicks. The results underline the importance of monitoring parameters other than wind speed during gas exchange measurements. The presented methods allow for robust estimates of surface slope statistics under a wide range of conditions. [1] Kiefhaber, D., Rocholz, R., Balschbach, G. and J{\"a}hne, B., Improved optical instrument for the measurement of water wave statistics in the field, in: Gas Transfer at Water Surfaces, Kyoto University Press, 2011. [2] Cox, C. and W. Munk (1954), Measurements of the roughness of the sea surface from photographs of the sun{\textquoteright}s glitter, J. Opt. Soc. Amer., 44 (11), 838-850.},
	doi = {10.5281/zenodo.12335},
	author = {Daniel Kiefhaber and Christopher J. Zappa and Bernd J{\"a}hne}
}
@article {mesarchaki2014a,
	title = {Measuring air-sea gas exchange velocities in a large scale annular wind-wave tank},
	journal = {Ocean Sci. Discuss.},
	volume = {11},
	year = {2014},
	pages = {1643--1689},
	doi = {10.5194/osd-11-1643-2014},
	author = {Evridiki Mesarchaki and Christine Kr{\"a}uter and Kerstin Ellen Krall and Maximilian Bopp and F. Helleis and Jonathan Williams and Bernd J{\"a}hne}
}
@article {Schaefer2014,
	title = {Model based scattering correction in time-of-flight cameras},
	journal = {Optics Express},
	volume = {22},
	year = {2014},
	pages = {29835-29846},
	author = {Sch{\"a}fer, Henrik and Lenzen, Frank and Garbe, Christoph S.}
}
@article {monoroy:IVC:2014,
	title = {Morphological Analysis for Investigating Artistic Images},
	journal = {Image and Vision Computing},
	volume = {32},
	number = {6},
	year = {2014},
	pages = {414--423},
	publisher = {Elsevier},
	author = {Monroy, A. and Bell, P. and Bj{\"o}rn Ommer}
}
@conference {urban_14_multi-modal,
	title = {Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks},
	booktitle = {MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution},
	year = {2014},
	pages = {31-35},
	author = {Urban, G. and M. Bendszus and Fred A. Hamprecht and Kleesiek, J.}
}
@phdthesis {wieler_14_semi-supervised,
	title = {Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection},
	year = {2014},
	publisher = {University of Heidelberg},
	author = {Wieler, M.}
}
@conference {straehle_14_multiple,
	title = {Multiple instance learning with response-optimized random forests},
	booktitle = {ICPR. Proceedings},
	year = {2014},
	note = {1},
	pages = {3768 - 3773},
	doi = {10.1109/ICPR.2014.647},
	author = {Christoph N. Straehle and Kandemir, M. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {kandemir_14_multi-task,
	title = {Multi-task and multi-view learning of user state},
	journal = {Neurocomputing},
	volume = {139},
	year = {2014},
	pages = {97-106},
	doi = {10.1016/j.neucom.2014.02.057},
	author = {Kandemir, M. and Klami, A. and Gonen, M. and Vetek, A. and Kaski, S}
}
@mastersthesis {urban_14_neural,
	title = {Neural Networks: Optimization and Applications},
	year = {2014},
	school = {University of Heidelberg},
	author = {Urban, G.}
}
@conference {Marquez-Neila2014,
	title = {Non-parametric higher-order random fields for image segmentation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8694 LNCS},
	number = {PART 6},
	year = {2014},
	pages = {269{\textendash}284},
	abstract = {Models defined using higher-order potentials are becoming increasingly popular in computer vision. However, the exact representation of a general higher-order potential defined over many variables is computationally unfeasible. This has led prior works to adopt parametric potentials that can be compactly represented. This paper proposes a non-parametric higher-order model for image labeling problems that uses a patch-based representation of its potentials. We use the transformation scheme of [11, 25] to convert the higher-order potentials to a pair-wise form that can be handled using traditional inference algorithms. This representation is able to capture structure, geometrical and topological information of labels from training data and to provide more precise segmentations. Other tasks such as image denoising and reconstruction are also possible. We evaluate our method on denoising and segmentation problems with synthetic and real images. {\textcopyright} 2014 Springer International Publishing.},
	keywords = {biomedical image analysis, higher-order models, image denoising, Image segmentation, random fields, structured prediction},
	isbn = {9783319105987},
	issn = {16113349},
	doi = {10.1007/978-3-319-10599-4_18},
	author = {M{\'a}rquez-Neila, Pablo and Kohli, Pushmeet and Carsten Rother and Baumela, Luis}
}
@conference {takami:WACV:2014,
	title = {Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM},
	booktitle = {Winter Conference on Applications of Computer Vision},
	year = {2014},
	pages = {377--384},
	publisher = {IEEE},
	organization = {IEEE},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6836075},
	author = {Takami, M. and Bell, P. and Bj{\"o}rn Ommer}
}
@incollection {Becker2014,
	title = {Optical Flow},
	year = {2014},
	note = {in press},
	publisher = {Springer},
	edition = {2nd},
	author = {Florian Becker and Petra, Stefania and Christoph Schn{\"o}rr},
	editor = {Scherzer, O.}
}
@phdthesis {kiefhaber2014,
	title = {Optical Measurement of Short Wind Waves --- from the Laboratory to the Field},
	volume = {Dissertation},
	year = {2014},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/16304},
	author = {Daniel Kiefhaber}
}
@article {Jug2014,
	title = {Optimal joint segmentation and tracking of escherichia coli in the mother machine},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8677},
	year = {2014},
	pages = {25{\textendash}36},
	abstract = {We introduce a graphical model for the joint segmentation and tracking of E. coli cells from time lapse videos. In our setup cells are grown in narrow columns (growth channels) in a so-called {\textquotedblleft}Mother Machine{\textquotedblright} [1]. In these growth channels, cells are vertically aligned, grow and divide over time, and eventually leave the channel at the top. The model is built on a large set of cell segmentation hypotheses for each video frame that we extract from data using a novel parametric max-flow variation. Possible tracking assignments between segments across time, including cell identity mapping, cell division, and cell exit events are enumerated. Each such assignment is represented as a binary decision variable with unary costs based on image and object features of the involved segments. We find a cost-minimal and consistent solution by solving an integer linear program. We introduce a new and important type of constraint that ensures that cells exit the Mother Machine in the correct order. Our method finds a globally optimal tracking solution with an accuracy of > 95\% (1.22 times the inter-observer error) and is on average 2 - 11 times faster than the microscope produces the raw data.},
	issn = {16113349},
	doi = {10.1007/978-3-319-12289-2_3},
	author = {Jug, Florian and Pietzsch, Tobias and Kainm{\"u}ller, Dagmar and Funke, Jan and Kaiser, Matthias and van Nimwegen, Erik and Carsten Rother and Myers, Gene}
}
@phdthesis {wanner2014,
	title = {Orientation Analysis in 4D Light Fields},
	volume = {Dissertation},
	year = {2014},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00016439},
	author = {Sven Wanner}
}
@phdthesis {wanner2014,
	title = {Orientation Analysis in 4D Light Fields},
	year = {2014},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/16439},
	author = {Sven Wanner}
}
@conference {yarkony_14_parallel,
	title = {Parallel Multicut Segmentation via Dual Decomposition},
	booktitle = {New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers},
	year = {2014},
	doi = {10.1007/978-3-319-17876-9_4},
	url = {http://dx.doi.org/10.1007/978-3-319-17876-9_4},
	author = {Julian Yarkony and Thorsten Beier and Pierre Baldi and Fred A. Hamprecht}
}
@article {swoboda_14_partial,
	title = {Partial Optimality by Pruning for MAP-inference with General GraphicalModels},
	year = {2014},
	pages = {1170-1177},
	doi = {10.1109/CVPR.2014.153},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Swoboda-2014,
	title = {Partial Optimality by Pruning for MAP-inference with General Graphical Models},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition 2014},
	year = {2014},
	author = {Swoboda, Paul and Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Swoboda-2014,
	title = {Partial Optimality by Pruning for MAP-inference with General Graphical Models},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition 2014},
	year = {2014},
	author = {Swoboda, Paul and Savchynskyy, Bogdan and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@article {Denitiu2014a,
	title = {Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections},
	journal = {Fundamenta Informaticae},
	volume = {135},
	year = {2014},
	pages = {73--102},
	author = {Andreea Denitiu and Stefania Petra and Schn{\"o}rr, Cl. and Christoph Schn{\"o}rr}
}
@article {Denitiu2014a,
	title = {Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections},
	journal = {Fundamenta Informaticae},
	volume = {135},
	year = {2014},
	pages = {73{\textendash}102},
	author = {Andreea Denitiu and Petra, S. and Schn{\"o}rr, Cl. and Christoph Schn{\"o}rr}
}
@article {Besse2014,
	title = {PMBP: PatchMatch Belief Propagation for correspondence field estimation},
	journal = {International Journal of Computer Vision},
	volume = {110},
	number = {1},
	year = {2014},
	month = {oct},
	pages = {2{\textendash}13},
	publisher = {Kluwer Academic Publishers},
	abstract = {PatchMatch (PM) is a simple, yet very powerful and successful method for optimizing continuous labelling problems. The algorithm has two main ingredients: the update of the solution space by sampling and the use of the spatial neighbourhood to propagate samples. We show how these ingredients are related to steps in a specific form of belief propagation (BP) in the continuous space, called max-product particle BP (MP-PBP). However, MP-PBP has thus far been too slow to allow complex state spaces. In the case where all nodes share a common state space and the smoothness prior favours equal values, we show that unifying the two approaches yields a new algorithm, PMBP, which is more accurate than PM and orders of magnitude faster than MP-PBP. To illustrate the benefits of our PMBP method we have built a new stereo matching algorithm with unary terms which are borrowed from the recent PM Stereo work and novel realistic pairwise terms that provide smoothness. We have experimentally verified that our method is an improvement over state-of-the-art techniques at sub-pixel accuracy level.},
	keywords = {Belief propagation, Correspondence fields, PatchMatch},
	issn = {15731405},
	doi = {10.1007/s11263-013-0653-9},
	author = {Besse, Frederic and Carsten Rother and Fitzgibbon, Andrew and Kautz, Jan}
}
@article {Besse2014a,
	title = {PMBP: PatchMatch Belief Propagation for correspondence field estimation},
	journal = {International Journal of Computer Vision},
	volume = {110},
	number = {1},
	year = {2014},
	pages = {2{\textendash}13},
	abstract = {PatchMatch (PM) is a simple, yet very powerful and successful method for optimizing continuous labelling problems. The algorithm has two main ingredients: the update of the solution space by sampling and the use of the spatial neighbourhood to propagate samples. We show how these ingredients are related to steps in a specific form of belief propagation (BP) in the continuous space, called max-product particle BP (MP-PBP). However, MP-PBP has thus far been too slow to allow complex state spaces. In the case where all nodes share a common state space and the smoothness prior favours equal values, we show that unifying the two approaches yields a new algorithm, PMBP, which is more accurate than PM and orders of magnitude faster than MP-PBP. To illustrate the benefits of our PMBP method we have built a new stereo matching algorithm with unary terms which are borrowed from the recent PM Stereo work and novel realistic pairwise terms that provide smoothness. We have experimentally verified that our method is an improvement over state-of-the-art techniques at sub-pixel accuracy level.},
	keywords = {Belief propagation, Correspondence fields, PatchMatch},
	issn = {15731405},
	doi = {10.1007/s11263-013-0653-9},
	author = {Besse, Frederic and Carsten Rother and Fitzgibbon, Andrew and Kautz, Jan}
}
@article {Besse2014b,
	title = {PMBP: PatchMatch Belief Propagation for correspondence field estimation},
	journal = {International Journal of Computer Vision},
	volume = {110},
	number = {1},
	year = {2014},
	pages = {2{\textendash}13},
	abstract = {PatchMatch (PM) is a simple, yet very powerful and successful method for optimizing continuous labelling problems. The algorithm has two main ingredients: the update of the solution space by sampling and the use of the spatial neighbourhood to propagate samples. We show how these ingredients are related to steps in a specific form of belief propagation (BP) in the continuous space, called max-product particle BP (MP-PBP). However, MP-PBP has thus far been too slow to allow complex state spaces. In the case where all nodes share a common state space and the smoothness prior favours equal values, we show that unifying the two approaches yields a new algorithm, PMBP, which is more accurate than PM and orders of magnitude faster than MP-PBP. To illustrate the benefits of our PMBP method we have built a new stereo matching algorithm with unary terms which are borrowed from the recent PM Stereo work and novel realistic pairwise terms that provide smoothness. We have experimentally verified that our method is an improvement over state-of-the-art techniques at sub-pixel accuracy level.},
	keywords = {Belief propagation, Correspondence fields, PatchMatch},
	issn = {15731405},
	doi = {10.1007/s11263-013-0653-9},
	author = {Besse, Frederic and Carsten Rother and Fitzgibbon, Andrew and Kautz, Jan}
}
@article {rathke2014,
	title = {Probabilistic Intra-Retinal Layer Segmentation in 3-{D} {OCT} Images Using Global Shape Regularization},
	journal = {Med. Image Anal.},
	volume = {18},
	year = {2014},
	pages = {781{\textendash}794},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@article {Rathke2014,
	title = {Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization},
	journal = {Medical Image Analysis},
	volume = {18},
	number = {5},
	year = {2014},
	pages = {781-794},
	author = {Rathke, F. and Schmidt, S. and Christoph Schn{\"o}rr}
}
@article {Rathke2014,
	title = {Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization},
	journal = {Medical Image Analysis},
	volume = {18},
	number = {5},
	year = {2014},
	pages = {781-794},
	author = {Rathke, F. and Schmidt, S. and Schn{\"o}rr, C.}
}
@article {Distributions2014,
	title = {Proof of Lemma 2 Proof of Lemma 3 Proof of Theorem 4 Proof of Lemma 10},
	journal = {Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics},
	number = {16},
	year = {2014},
	pages = {9{\textendash}11},
	abstract = {{Let us write down the linear program corresponding to the QPBO method. The roof duality relaxation for function E is given by equation (17). Adding pairwise terms Cx a x b for a, b ∈ A(p)},
	author = {Distributions, Laplace}
}
@conference {eigenstetter:CVPR:2014,
	title = {Randomized Max-Margin Compositions for Visual Recognition},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
	year = {2014},
	pages = {3590--3597},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Eigenstetter, A. and Takami, M. and Bj{\"o}rn Ommer}
}
@conference {esparza2014,
	title = {Registration of a multi-camera system with a 3D laser range finder},
	booktitle = {9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting},
	year = {2014},
	pages = {37--46},
	url = {http://www.uni-das.de/de/Veranstaltungen/fas2014.php},
	author = {Esparza, Jose and Vepa, Leo and Helmle, Michael and Bernd J{\"a}hne}
}
@article {He2014,
	title = {Robust Simulation of Small-Scale Thin Features in SPH-based Free Surface Flows},
	journal = {Life.Kunzhou.Net},
	volume = {1},
	number = {212},
	year = {2014},
	pages = {1{\textendash}8},
	abstract = {The control polygon of a Bezier curve is well-defined and meaningful{\textendash}-there is a sequence of weights under which the limiting position of the curve is the control polygon. For a Bezier surface patch, there are many possible polyhedral control structures, and none are canonical. We propose a not necessarily polyhedral control structure for surface patches, regular control surfaces, which are certain C\^0 spline surfaces. While not unique, regular control surfaces are exactly the possible limiting positions of a Bezier patch when the weights are allowed to vary, but the control points are fixed.},
	isbn = {0103660054},
	issn = {07300301},
	doi = {10.1145/XXXXXXX.YYYYYYY},
	url = {http://doi.acm.org/10.1145/XXXXXXX.YYYYYYY http://life.kunzhou.net/2013/SPHsurfacetension.pdf},
	author = {He, Xiaowei and Wang, H and Zhang, Fengjun and Wang, Guoping and Zhou, Kun}
}
@article {maco_14_semiautomated,
	title = {Semiautomated Correlative 3D Electron Microscopy of In Vivo Imaged Axons and Dendrites},
	journal = {Nature Protocols},
	volume = {9},
	year = {2014},
	pages = {1354-1366},
	doi = {10.1038/nprot.2014.101},
	author = {Maco, B. and Cantoni, M. and Holtmaat, A. and Anna Kreshuk and Fred A. Hamprecht and G. W. Knott}
}
@conference {drory_14_semi-global,
	title = {Semi-Global Matching: A Principled Derivation in Terms of Message Passing},
	booktitle = {GCPR. Proceedings},
	number = {8753},
	year = {2014},
	note = {1},
	pages = {43-53},
	doi = {10.1007/978-3-319-11752-2_4},
	author = {Drory, A. and Haubold, C. and Avidan, S. and Fred A. Hamprecht}
}
@article {koethe_14_simplestorm,
	title = {SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy},
	journal = {Histochemistry and Cell Biology},
	volume = {141},
	year = {2014},
	note = {1},
	pages = {613-627},
	doi = {10.1007/s00418-014-1211-4},
	author = {Ullrich K{\"o}the and Herrmannsd{\"o}rfer, F. and Kats, I. and Fred A. Hamprecht}
}
@conference {jaehne2014,
	title = {Simultaneous measurements of solubilities and diffusion coeffcients of volatile species in liquids},
	booktitle = {7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014},
	year = {2014},
	doi = {10.5281/zenodo.10409},
	author = {Bernd J{\"a}hne}
}
@article {Lenzen-et-al-14,
	title = {Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets},
	journal = {SIAM J.~Imag.~Sci.},
	volume = {7},
	number = {4},
	year = {2014},
	pages = {2139--2174},
	author = {Frank Lenzen and Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@article {Lenzen-et-al-14,
	title = {Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets},
	journal = {SIAM J. Imag. Sci.},
	volume = {7},
	number = {4},
	year = {2014},
	pages = {2139{\textendash}2174},
	author = {Lenzen, F. and Lellmann, J. and Florian Becker and Schn{\"o}rr, C.}
}
@article {lenzen_14_solving,
	title = {Solving QVIs for Image Restoration with Adaptive Constraint Sets},
	journal = {SIAM Journal on Imaging Sciences (SIIMS), in press},
	year = {2014},
	note = {1},
	author = {Frank Lenzen and Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@conference {diego_14_sparse,
	title = {Sparse Space-Time Deconvolution for Calcium Image Analysis},
	booktitle = {NIPS. Proceedings},
	year = {2014},
	note = {1},
	pages = {64-72},
	url = {http://papers.nips.cc/paper/5342-sparse-space-time-deconvolution-for-calcium-image-analysis},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@mastersthesis {reith2014,
	title = {Spatio-temporal slope measurement of short wind waves under the influence of surface films at the Heidelberg Aeolotron},
	year = {2014},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/17697},
	author = {Svenja Reith}
}
@conference {Hornacek2014a,
	title = {SphereFlow: 6 DoF scene flow from RGB-D pairs},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2014},
	pages = {3526{\textendash}3533},
	abstract = {We take a new approach to computing dense scene flow between a pair of consecutive RGB-D frames. We exploit the availability of depth data by seeking correspondences with respect to patches specified not as the pixels inside square windows, but as the 3D points that are the inliers of spheres in world space. Our primary contribution is to show that by reasoning in terms of such patches under 6 DoF rigid body motions in 3D, we succeed in obtaining compelling results at displacements large and small without relying on either of two simplifying assumptions that pervade much of the earlier literature: brightness constancy or local surface planarity. As a consequence of our approach, our output is a dense field of 3D rigid body motions, in contrast to the 3D translations that are the norm in scene flow. Reasoning in our manner additionally allows us to carry out occlusion handling using a 6 DoF consistency check for the flow computed in both directions and a patchwise silhouette check to help reason about alignments in occlusion areas, and to promote smoothness of the flow fields using an intuitive local rigidity prior. We carry out our optimization in two steps, obtaining a first correspondence field using an adaptation of PatchMatch, and subsequently using alpha-expansion to jointly handle occlusions and perform regularization. We show attractive flow results on challenging synthetic and real-world scenes that push the practical limits of the aforementioned assumptions.},
	isbn = {9781479951178},
	issn = {10636919},
	doi = {10.1109/CVPR.2014.451},
	author = {Horn{\'a}{\v c}ek, Michael and Fitzgibbon, Andrew and Carsten Rother}
}
@conference {krolla-etall-2014-BMVC,
	title = {Spherical Light Fields},
	booktitle = {Proceedings of the British Machine Vision Conference},
	year = {2014},
	publisher = {BMVA Press},
	organization = {BMVA Press},
	abstract = {A full view spherical camera exploits its extended field of view to map the complete environment onto a 2D image plane. Thus, with a single shot, it delivers a lot more information about the surroundings than one can gather with a normal perspective or plenoptic camera, which are commonly used in light field imaging. However, in contrast to a light field camera, a spherical camera does not capture directional information about the incident light, and thus a single shot from a spherical camera is not sufficient to reconstruct 3D scene geometry. In this paper, we introduce a method combining spherical imaging with the light field approach. To obtain 3D information with a spherical camera, we capture several independent spherical images by applying a constant vertical offset between the camera positions and combine the images in a Spherical Light Field (SLF). We can then compute disparity maps by structure tensor orientation analysis on epipolar plane images, which in this context are 2D cuts through the spherical light field with constant azimuth angle. This method competes with the acquisition range of laser scanners and allows for a fast and extensive recording of a given scene. We benchmark our approach by comparing disparity maps of ray-traced scenes against its ground truth. Further we provide disparity maps of real world datasets. },
	author = {Bernd Krolla and Maximilian Diebold and Bastian Goldl{\"u}cke and Didier Stricker}
}
@conference {kondermann2014,
	title = {Stereo ground truth with error bars},
	booktitle = {Asian Conference on Computer Vision, ACCV 2014},
	year = {2014},
	author = {Daniel Kondermann and Nair, Rahul and Stephan Meister and Wolfgang Mischler and G{\"u}ssefeld, Burkhard and Sabine Hofmann and Brenner, Claus and Bernd J{\"a}hne}
}
@incollection {lou_14_structured,
	title = {Structured Learning from Cheap Data},
	year = {2014},
	note = {1},
	publisher = {The MIT Press},
	author = {Lou, X. and Kloft, M. and R{\"a}tsch, G. and Fred A. Hamprecht},
	editor = {Nowozin, S. et al}
}
@article {goldluecke2014,
	title = {A super-resolution framework for high-accuracy multiview reconstruction},
	journal = {Int. J. Comp. Vision},
	volume = {106},
	year = {2014},
	pages = {172--191},
	doi = {10.1007/s11263-013-0654-8},
	author = {Bastian Goldl{\"u}cke and M. Aubry and K. Kolev and Daniel Cremers}
}
@mastersthesis {gutsche2014,
	title = {Surface Velocity Measurements at the Aeolotron by Means of Active Thermography},
	year = {2014},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/17431},
	author = {Marcel Gutsche}
}
@mastersthesis {gutsche2014,
	title = {Surface Velocity Measurements at the Aeolotron by Means of Active Thermography},
	year = {2014},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersMasterarbeit},
	doi = {10.11588/heidok.00017431},
	author = {Marcel Gutsche}
}
@phdthesis {mischler2014,
	title = {Systematic Measurements of Bubble Induced Gas Exchange for Trace Gases with Low Solubilities},
	volume = {Dissertation},
	year = {2014},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/17720},
	author = {Wolfgang Mischler}
}
@conference {gottfried2014,
	title = {Time of flight motion compensation revisited},
	booktitle = {International Conference on Image Processing, ICIP 2014},
	year = {2014},
	author = {Gottfried, Jens-Malte and Nair, Rahul and Stephan Meister and Christoph S. Garbe and Daniel Kondermann}
}
@conference {esparza2014c,
	title = {Towards surround stereo vision: analysis of a new surround view camera configuration for driving asistance applications},
	booktitle = {17th International Conference on Intelligent Transportation Systems (ITSC 2014)},
	year = {2014},
	author = {Esparza, Jose and Helmle, Michael and Bernd J{\"a}hne}
}
@conference {fiaschi_14_tracking,
	title = {Tracking indistinguishable translucent objects over time using weakly supervised structured learning},
	booktitle = {CVPR. Proceedings},
	year = {2014},
	note = {1},
	pages = {2736 - 2743},
	doi = {10.1109/CVPR.2014.356},
	author = {Fiaschi, L. and Ferran Diego and Karl-Heinz Grosser and Schiegg, M. and Ullrich K{\"o}the and Zlatic, M. and Fred A. Hamprecht}
}
@conference {lenor2014,
	title = {Tracking-based visibility estimation},
	booktitle = {Pattern Recognition, 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014},
	volume = {8753},
	year = {2014},
	pages = {365--376},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-11752-2_29},
	author = {Lenor, Stephan and Martini, Johannes and Bernd J{\"a}hne and Stopper, Ulrich and Weber, Stefan and Ohr, Florian},
	editor = {Jiang, Xiaoyi and Joachim Hornegger and Reinhard Koch}
}
@article {wanner2014a,
	title = {Variational light field analysis for disparity estimation and super-resolution},
	journal = {IEEE Trans. Pattern Analysis Machine Intelligence},
	volume = {36},
	year = {2014},
	pages = {606--619},
	doi = {10.1109/TPAMI.2013.147},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@phdthesis {krah2014,
	title = {Visualization of air and water-sided concentration profiles in laboratory gas exchange experiments},
	volume = {Dissertation},
	year = {2014},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/16895},
	author = {Nils Krah}
}
@conference {esparaza2014a,
	title = {Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance},
	booktitle = {Pattern Recognition, 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014},
	volume = {8753},
	year = {2014},
	pages = {342--353},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-11752-2_27},
	author = {Esparza, Jose and Helmle, Michael and Bernd J{\"a}hne},
	editor = {Jiang, Xiaoyi and Joachim Hornegger and Reinhard Koch}
}
@conference {zhang_14_yeast,
	title = {Yeast Cell Detection and Segmentation in Bright Field Microscopy},
	booktitle = {ISBI. Proceedings},
	year = {2014},
	note = {1},
	pages = {1267-1270},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	doi = {10.1109/ISBI.2014.6868107},
	author = {Zhang, C. and Huber, F. and Knop, M. and Fred A. Hamprecht}
}
@incollection {jaehne2013c,
	title = {625 Jahre Ruperto Carola und 25 Jahre Bildverarbeitung},
	volume = {55},
	year = {2013},
	pages = {71--73},
	publisher = {Gesellschaft der Freunde Universit{\"a}t Heidelberg e. V.},
	isbn = {978-3-00-040060-5},
	url = {http://d-nb.info/1033237000},
	author = {Bernd J{\"a}hne},
	editor = {Hilgert, Markus and Wink, Michael}
}
@phdthesis {roeder_13_active,
	title = {Active Learning: New Approaches, and Industrial Applications},
	year = {2013},
	publisher = {University of Heidelberg},
	author = {R{\"o}der, J.}
}
@conference {lenzen_13_adaptive,
	title = {Adaptive Second-Order Total Variation: An Approach Aware of Slope
Discontinuities},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM},
	volume = {7893},
	year = {2013},
	note = {1},
	pages = {61-73},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-38267-3_6},
	author = {Frank Lenzen and Florian Becker and Lellmann, J.}
}
@conference {Lenzen-2013-ssvm,
	title = {Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013},
	volume = {54},
	year = {2013},
	pages = {371--398},
	publisher = {Springer},
	organization = {Springer},
	author = {Frank Lenzen and Florian Becker and Lellmann, Jan}
}
@mastersthesis {hanslovsky_13_advanced,
	title = {Advanced Cell Tacking-by-Assignment},
	year = {2013},
	school = {University of Heidelberg},
	author = {Hanslovsky, P.}
}
@conference {Sindeev2013,
	title = {Alpha-flow for video matting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7726 LNCS},
	number = {PART 3},
	year = {2013},
	pages = {438{\textendash}452},
	abstract = {This work addresses the problem of video matting, that is extracting the opacity-layer of a foreground object from a video sequence. We introduce the notion of alpha-flow which corresponds to the flow in the opacity layer. The idea is derived from the process of rotoscoping, where a user-supplied object mask is smoothly interpolated between keyframes while preserving its correspondence with the underlying image. Our key contribution is an algorithm which infers both the opacity masks and the alpha-flow in an efficient and unified manner. We embed our algorithm in an interactive video matting system where the first and last frame of a sequence are given as keyframes, and additional user strokes may be provided in intermediate frames. We show high quality results on various challenging sequences, and give a detailed comparison to competing techniques. {\textcopyright} 2013 Springer-Verlag.},
	isbn = {9783642374302},
	issn = {03029743},
	doi = {10.1007/978-3-642-37431-9_34},
	author = {Sindeev, Mikhail and Konushin, Anton and Carsten Rother}
}
@article {diego_13_automated,
	title = {Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning},
	journal = {ISBI 2013. Proceedings},
	number = {0236},
	year = {2013},
	note = {1},
	pages = {1058-1061},
	doi = {10.1109/ISBI.2013.6556660},
	author = {Ferran Diego and Reichinnek, S. and M. Both and Fred A. Hamprecht}
}
@conference {arnold:SCCH:2013,
	title = {Automated Learning of Self-Similarity and Informative Structures in Architecture},
	booktitle = {Scientific Computing \& Cultural Heritage},
	year = {2013},
	author = {Arnold, M. and Bell, P. and Bj{\"o}rn Ommer}
}
@article {mikut_13_automated,
	title = {Automated Processing of Zebrafish Imaging Data: A Survey},
	journal = {Zebrafish},
	volume = {10 (3)},
	year = {2013},
	doi = {10.1089/zeb.2013.0886},
	author = {Mikut, R. and Dickmeis, T. and Driever, W. and Geurts, P. and Fred A. Hamprecht and Bernhard X. Kausler and Ledesma-Carbayo, M. and Marée, R. and Mikula, K. and Pantazis, P. and Ronneberger, O. and Santos, A. and Stotzka, R.}
}
@conference {petra_13_bsmart,
	title = {B-SMART: Bregman-Based First-Order Algorithms for Non-Negative
Compressed Sensing Problems},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM},
	year = {2013},
	note = {1},
	pages = {110-124},
	doi = {10.1007/978-3-642-38267-3_10},
	author = {Stefania Petra and Christoph Schn{\"o}rr and Florian Becker and Frank Lenzen}
}
@conference {Petra-2013-bsmart,
	title = {B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013},
	volume = {7893},
	year = {2013},
	pages = {110-124},
	publisher = {Springer},
	organization = {Springer},
	author = {Stefania Petra and Christoph Schn{\"o}rr and Florian Becker and Frank Lenzen}
}
@article {mersmann2013,
	title = {Calibration of time-of-flight cameras for accurate intraoperative surface reconstruction},
	journal = {Med. Phys.},
	volume = {40},
	year = {2013},
	pages = {082701},
	doi = {10.1118/1.4812889},
	author = {Sven Mersmann and Alexander Seitel and Michael Erz and Bernd J{\"a}hne and Nickel, Felix and Mieth, Markus and Mehrabi, Arianeb and Lena Maier-Hein}
}
@article {lenzen_13_class,
	title = {A Class of Quasi-Variational Inequalities for Adaptive Image Denoising
and Decomposition},
	journal = {Computational Optimization and Applications (COAP)},
	volume = {54 (2)},
	year = {2013},
	note = {1},
	pages = {371-398},
	doi = {10.1007/s10589-012-9456-0},
	author = {Frank Lenzen and Florian Becker and Lellmann, J. and Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Lenzen-et-al-13,
	title = {A class of quasi-variational inequalities for adaptive image denoising and decomposition},
	journal = {Computational Optimization and Applications},
	volume = {54},
	number = {2},
	year = {2013},
	pages = {371-398},
	publisher = {Springer Netherlands},
	issn = {0926-6003},
	url = {http://dx.doi.org/10.1007/s10589-012-9456-0},
	author = {Frank Lenzen and Florian Becker and Lellmann, Jan and Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Breitenreicher2012,
	title = {COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis},
	journal = {Optimization Methods and Software},
	volume = {28},
	number = {5},
	year = {2013},
	note = {Projectpage: http://sourceforge.net/projects/coalproject/},
	pages = {1081-1094},
	doi = {10.1080/10556788.2012.672571},
	url = {http://www.tandfonline.com/doi/abs/10.1080/10556788.2012.672571},
	author = {Breitenreicher, Dirk and Lellmann, Jan and Christoph Schn{\"o}rr}
}
@conference {Kappes-2013-benchmark,
	title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem},
	booktitle = {CVPR},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Bernhard X. Kausler and Lellmann, Jan and Komodakis, Nikos and Carsten Rother}
}
@conference {kappes_13_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems},
	booktitle = {CVPR 2013. Proceedings},
	year = {2013},
	note = {1},
	doi = {10.1109/CVPR.2013.175},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Sungwoong, K. and Bernhard X. Kausler and Lellmann, J. and Komodakis, N. and Carsten Rother}
}
@conference {schiegg_13_conservation,
	title = {Conservation Tracking},
	booktitle = {ICCV 2013. Proceedings},
	year = {2013},
	note = {1},
	pages = {2928--2935},
	doi = {10.1109/ICCV.2013.364},
	author = {Schiegg, M. and Hanslovsky, P. and Bernhard X. Kausler and Hufnagel, L. and Fred A. Hamprecht}
}
@booklet {SchmitzerSchnoerr-ShapeMeasures2013,
	title = {Contour Manifolds and Optimal Transport},
	year = {2013},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {SwobodaSchnoerr2013,
	title = {Convex Variational Image Restoration with Histogram Priors},
	journal = {SIAM J.~Imag.~Sci.},
	volume = {6},
	number = {3},
	year = {2013},
	pages = {1719-1735},
	author = {Swoboda, P. and Christoph Schn{\"o}rr}
}
@article {maco_13_correlative,
	title = {Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons},
	journal = {PloS one},
	volume = {8 (2)},
	year = {2013},
	doi = {10.1371/journal.pone.0057405},
	author = {Maco, B. and Holtmaat, A. and Cantoni, M. and Anna Kreshuk and Christoph N. Straehle and Fred A. Hamprecht and G. W. Knott}
}
@phdthesis {meister_13_on,
	title = {On Creating Reference Data for Performance Analysis in Image Processing},
	year = {2013},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Stephan Meister}
}
@article {Petra2013,
	title = {Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics},
	journal = {Fundamenta Informaticae},
	volume = {125},
	year = {2013},
	pages = {285--312},
	author = {Stefania Petra and Christoph Schn{\"o}rr and Schr{\"o}der, A.}
}
@conference {wanner2013datasets,
	title = {Datasets and Benchmarks for Densely Sampled 4D Light Fields},
	booktitle = {Vision, Modeling \& Visualization},
	year = {2013},
	pages = {225--226},
	author = {Sven Wanner and Stephan Meister and Bastian Goldl{\"u}cke}
}
@conference {lenzen_13_denoising,
	title = {Denoising Strategies for Time-of-Flight Data},
	booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications},
	volume = {8200},
	year = {2013},
	note = {1},
	pages = {24-25},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-44964-2_2},
	author = {Frank Lenzen and Kim, K. I. and Sch{\"a}fer, H. and Nair, R. and Stephan Meister and Florian Becker and Christoph S. Garbe},
	editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Theobalt, C. and Reinhard Koch}
}
@incollection {Lenzen2013stategies,
	title = {Denoising Strategies for Time-of-Flight Data},
	volume = {8200},
	year = {2013},
	pages = {25-45},
	publisher = {Springer},
	author = {Frank Lenzen and Kim, Kwang In and Sch{\"a}fer, Henrik and Nair, Rahul and Stephan Meister and Florian Becker and Christoph S. Garbe},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Andreas Kolb and Theobalt, Christian and Reinhard Koch}
}
@conference {Schaefer2013depth,
	title = {Depth and Intensity Based Edge Detection in Time-of-Flight Images},
	booktitle = {3DV-Conference, 2013 International Conference on},
	year = {2013},
	pages = {111-118},
	doi = {10.1109/3DV.2013.23},
	author = {Sch{\"a}fer, Henrik and Frank Lenzen and Christoph S. Garbe}
}
@conference {schaefer_13_depth,
	title = {Depth and Intensity Based Edge Detection in Time-of-Flight Images},
	booktitle = {3D Imaging, Modeling, Processing, Visualization and Transmission
(3DIMPVT), 2013 International Conference on},
	year = {2013},
	note = {1},
	pages = {111-118},
	publisher = {IEEE},
	organization = {IEEE},
	doi = {10.1109/3DV.2013.23},
	author = {Sch{\"a}fer, H. and Frank Lenzen and Christoph S. Garbe}
}
@conference {Hornacek2013,
	title = {Depth super resolution by rigid body self-similarity in 3D},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2013},
	pages = {1123{\textendash}1130},
	abstract = {We tackle the problem of jointly increasing the spatial resolution and apparent measurement accuracy of an input low-resolution, noisy, and perhaps heavily quantized depth map. In stark contrast to earlier work, we make no use of ancillary data like a color image at the target resolution, multiple aligned depth maps, or a database of high-resolution depth exemplars. Instead, we proceed by identifying and merging patch correspondences within the input depth map itself, exploiting patch wise scene self-similarity across depth such as repetition of geometric primitives or object symmetry. While the notion of {\textquoteright}single-image{\textquoteright} super resolution has successfully been applied in the context of color and intensity images, we are to our knowledge the first to present a tailored analogue for depth images. Rather than reason in terms of patches of 2D pixels as others have before us, our key contribution is to proceed by reasoning in terms of patches of 3D points, with matched patch pairs related by a respective 6 DoF rigid body motion in 3D. In support of obtaining a dense correspondence field in reasonable time, we introduce a new 3D variant of Patch Match. A third contribution is a simple, yet effective patch up scaling and merging technique, which predicts sharp object boundaries at the target resolution. We show that our results are highly competitive with those of alternative techniques leveraging even a color image at the target resolution or a database of high-resolution depth exemplars. {\textcopyright} 2013 IEEE.},
	keywords = {dense matching, depth super resolution, optimization},
	issn = {10636919},
	doi = {10.1109/CVPR.2013.149},
	author = {Horn{\'a}{\v c}ek, Michael and Rhemann, Christoph and Gelautz, Margrit and Carsten Rother}
}
@conference {jaehne2013a,
	title = {Der Standard EMVA 1288 zur Charakterisierung von Kameras und Bildsensoren: von 2D- zu 3D-Kameras},
	booktitle = {Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beitr{\"a}ge der Oldenburger 3D-Tage 2013},
	year = {2013},
	pages = {388--399},
	publisher = {Wichmann},
	organization = {Wichmann},
	url = {http://www.ub.uni-heidelberg.de/archiv/17699},
	author = {Bernd J{\"a}hne},
	editor = {Thomas Luhmann and M{\"u}ller, Christina}
}
@mastersthesis {bauer2013,
	title = {Development of an imaging polarimeter for water wave slope measurements},
	year = {2013},
	school = {Institut f{\"u}r Umwelphysik, Univerist{\"a}t Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/15899},
	author = {Paulus Salomon Bauer}
}
@article {Lellmann2013,
	title = {Discrete and Continuous Models for Partitioning Problems},
	journal = {Int.~J.~Comp.~Visionz},
	volume = {104},
	number = {3},
	year = {2013},
	pages = {241-269},
	doi = {http://dx.doi.org/10.1007/s11263-013-0621-4},
	author = {Lellmann, J. and Lellmann, B. and Widmann, F. and Christoph Schn{\"o}rr}
}
@techreport {Schmidt,
	title = {Discriminative Non-blind Deblurring},
	year = {2013},
	abstract = {Non-blind deblurring is an integral component of blind approaches for removing image blur due to camera shake. Even though learning-based deblurring methods exist, they have been limited to the generative case and are compu-tationally expensive. To this date, manually-defined models are thus most widely used, though limiting the attained restoration quality. We address this gap by proposing a dis-criminative approach for non-blind deblurring. One key challenge is that the blur kernel in use at test time is not known in advance. To address this, we analyze existing approaches that use half-quadratic regularization. From this analysis, we derive a discriminative model cascade for image deblurring. Our cascade model consists of a Gaus-sian CRF at each stage, based on the recently introduced regression tree fields. We train our model by loss minimization and use synthetically generated blur kernels to generate training data. Our experiments show that the proposed approach is efficient and yields state-of-the-art restoration quality on images corrupted with synthetic and real blur.},
	author = {Schmidt, Uwe and Carsten Rother and Nowozin, Sebastian and Jancsary, Jeremy and Roth, Stefan}
}
@conference {haeusler_13_ensemble,
	title = {Ensemble Learning for Confidence Measures in Stereo Vision},
	booktitle = {CVPR 2013, in press},
	year = {2013},
	note = {1},
	pages = {305-312},
	doi = {10.1109/CVPR.2013.46},
	author = {Haeusler, R. and Nair, R. and Daniel Kondermann}
}
@conference {diebold-etal-2013-VMV,
	title = {Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling.},
	booktitle = {VMV},
	year = {2013},
	publisher = {Eurographics Association},
	organization = {Eurographics Association},
	abstract = {In contrast to traditional imaging, the higher dimensionality of a light field offers directional information about the
captured intensity. This information can be leveraged to estimate the disparity of 3D points in the captured scene.
A recent approach to estimate disparities analyzes the structure tensor and evaluates the orientation on epipolar
plane images (EPIs). While the resulting disparity maps are generally satisfying, the allowed disparity range is
small and occlusion boundaries can become smeared and noisy. In this paper, we first introduce an approach to
extend the total allowed disparity range. This allows for example the investigation of camera setups with a larger
baseline, like in the Middlebury 3D light fields. Second, we introduce a method to handle the difficulties arising at
boundaries between fore- and background objects to achieve sharper edge transitions.},
	keywords = {dblp},
	isbn = {978-3-905674-51-4},
	url = {http://dblp.uni-trier.de/db/conf/vmv/vmv2013.html$\#$DieboldG13},
	author = {Maximilian Diebold and Bastian Goldl{\"u}cke}
}
@article {Hosni2013,
	title = {Fast cost-volume filtering for visual correspondence and beyond},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {35},
	number = {2},
	year = {2013},
	pages = {504{\textendash}511},
	abstract = {Many computer vision tasks can be formulated as labeling problems. The desired solution is often a spatially smooth labeling where label transitions are aligned with color edges of the input image. We show that such solutions can be efficiently achieved by smoothing the label costs with a very fast edge-preserving filter. In this paper, we propose a generic and simple framework comprising three steps: 1) constructing a cost volume, 2) fast cost volume filtering, and 3) Winner-Takes-All label selection. Our main contribution is to show that with such a simple framework state-of-the-art results can be achieved for several computer vision applications. In particular, we achieve 1) disparity maps in real time whose quality exceeds those of all other fast (local) approaches on the Middlebury stereo benchmark, and 2) optical flow fields which contain very fine structures as well as large displacements. To demonstrate robustness, the few parameters of our framework are set to nearly identical values for both applications. Also, competitive results for interactive image segmentation are presented. With this work, we hope to inspire other researchers to leverage this framework to other application areas. {\textcopyright} 2012 IEEE.},
	keywords = {Interactive Image Segmentation, optical flow, Stereo Matching},
	issn = {01628828},
	doi = {10.1109/TPAMI.2012.156},
	author = {Hosni, Asmaa and Rhemann, Christoph and Bleyer, Michael and Carsten Rother and Gelautz, Margrit}
}
@article {krall2013a,
	title = {First air-sea gas exchange laboratory study at hurricane wind speeds},
	journal = {Ocean Sci. Discuss.},
	volume = {10},
	year = {2013},
	pages = {1971--1996},
	doi = {10.5194/osd-10-1971-2013},
	url = {www.ocean-sci-discuss.net/10/1971/2013/},
	author = {Kerstin Ellen Krall and Bernd J{\"a}hne}
}
@conference {savchynskyy_13_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	booktitle = {Workshop on Inference for Probabilistic Graphical Models at ICCV.
Proceedings},
	year = {2013},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {savchynskyy_13_global,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area
with Convex Relaxation},
	booktitle = {NIPS. Proceedings},
	year = {2013},
	note = {1},
	pages = {1950-1958},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Swoboda, P. and Christoph Schn{\"o}rr}
}
@conference {SavchynskyyNIPS2013,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation},
	booktitle = {NIPS},
	year = {2013},
	note = {Accepted},
	author = {Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Swoboda, Paul and Christoph Schn{\"o}rr}
}
@conference {SavchynskyyNIPS2013,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation},
	booktitle = {NIPS},
	year = {2013},
	note = {Accepted},
	author = {Savchynskyy, Bogdan and Kappes, Jorg Hendrik and Swoboda, Paul and Christoph Schn{\"o}rr}
}
@article {wanner_13_globally,
	title = {Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields},
	journal = {CVPR 2013. Proceedings},
	year = {2013},
	pages = {1011-1018},
	doi = {10.1109/CVPR.2013.135},
	author = {Sven Wanner and Christoph N. Straehle and Bastian Goldl{\"u}cke}
}
@conference {wanner2013,
	title = {Globally consistent multi-label assignment on the ray space of 4D light fields},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2013},
	author = {Sven Wanner and Christoph N. Straehle and Bastian Goldl{\"u}cke}
}
@conference {SchmitzerSchnoerr-SSVM2013,
	title = {A Hierarchical Approach to Optimal Transport},
	booktitle = {Scale Space and Variational Methods (SSVM 2013)},
	year = {2013},
	pages = {452-464},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@conference {Vineet2013,
	title = {Higher order priors for joint intrinsic image, objects, and attributes estimation},
	booktitle = {Advances in Neural Information Processing Systems},
	year = {2013},
	abstract = {Many methods have been proposed to solve the problems of recovering intrinsic scene properties such as shape, reflectance and illumination from a single image, and object class segmentation separately. While these two problems are mutually informative, in the past not many papers have addressed this topic. In this work we explore such joint estimation of intrinsic scene properties recovered from an image, together with the estimation of the objects and attributes present in the scene. In this way, our unified framework is able to capture the correlations between intrinsic properties (reflectance, shape, illumination), objects (table, tv-monitor), and materials (wooden, plastic) in a given scene. For example, our model is able to enforce the condition that if a set of pixels take same object label, e.g. table, most likely those pixels would receive similar reflectance values. We cast the problem in an energy minimization framework and demonstrate the qualitative and quantitative improvement in the overall accuracy on the NYU and Pascal datasets.},
	issn = {10495258},
	author = {Vineet, Vibhav and Carsten Rother and Torr, Philip H.S.}
}
@booklet {Kappes-2013-multicut,
	title = {Higher-order Segmentation via Multicuts},
	howpublished = {ArXiv e-prints},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Speth, Markus and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@booklet {Kappes-2013-multicut,
	title = {Higher-order Segmentation via Multicuts},
	howpublished = {ArXiv e-prints},
	year = {2013},
	month = {May},
	author = {Kappes, Jorg Hendrik and Speth, Markus and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@mastersthesis {horn2013,
	title = {Hochaufgel{\"o}ste optische Wellenh{\"o}henmessung am Aeolotron mit Laser-induzierter Fluoreszenz},
	year = {2013},
	school = {Institut f{\"u}r Umwelphysik, Univerist{\"a}t Heidelberg, Germany},
	author = {Jason Horn}
}
@mastersthesis {fahle2013,
	title = {Hochaufl{\"o}sende Messung der raumzeitlichen Variation der Neigung winderzeugter Wasserwellen},
	year = {2013},
	school = {Institut f{\"u}r Umwelphysik, Univerist{\"a}t Heidelberg, Germany},
	abstract = {Zwei neue Systeme zur Messung der Neigung winderzeugter Wasserwellen wurden an zwei Wind-Wellen Kan{\"a}len in Heidelberg aufgebaut. Das dabei verwendete Prinzip der Imaging Slope Gauge (ISG) bestimmt die Neigung der wellenbewegten Wasseroberfl{\"a}che aus der Ablenkung von Lichtstrahlen, die an der Luft-Wasser-Grenzfl{\"a}che gebrochen werden. Beide ISG-Systeme arbeiten mit der bisher unerreichten zeitlichen Aufl{\"o}sung von 1500 Hz, wodurch erstmals verhindert werden kann, dass die Messungen durch zeitliches Aliasing beeintr{\"a}chtigt werden. Beide Systeme arbeiten jeweils mit unterschiedlichen helligkeitskodierten Lichtquellen. F{\"u}r die gr{\"o}{\ss}ere der beiden Lichtquellen wurde in dieser Arbeit eine neue Methode zur Kalibrierung entwickelt, getestet und angewendet. Die Methode wird ausf{\"u}hrlich beschrieben und wird bei zuk{\"u}nftigen Messungen am Heidelberger Aeolotron zum Einsatz kommen. Die Methode der bereits bestehenden Kalibrierung f{\"u}r die kleinere Lichtquelle wurde im Rahmen dieser Arbeit validiert und wird hier erstmals beschrieben. Ein in Heidelberg bisher nicht verwendeter Algorithmus zur Auswertung der Daten, die Fourier Decomposition Method (FDM), wird erl{\"a}utert. Als Erg{\"a}nzung zur bisher verwendeten Auswertung, in der Spektren durch direkte Fouriertransformation gewonnen wurden kann der Algorithmus durch Verwendung der Phaseninformation den Messbereich der ISG deutlich erweitern und auch Wellen mit kleineren Wellenzahlen erfassen. Der Algorithmus wurde auf Daten, aufgenommen am Heidelberger linearen Wind-Wellen Kanal, erfolgreich getestet.},
	author = {Patrick Fahle}
}
@article {donath_13_how,
	title = {How Good is Crowdsourcing for Optical Flow Ground Truth Generation?},
	journal = {submitted to CVPR},
	year = {2013},
	note = {1},
	author = {Donath, A. and Daniel Kondermann}
}
@phdthesis {geese2013,
	title = {Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach},
	year = {2013},
	note = {started 01.10.2009},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/14391},
	author = {Geese, Marc}
}
@phdthesis {geese2013,
	title = {Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach},
	volume = {Dissertation},
	year = {2013},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00014391},
	author = {Marc Geese}
}
@phdthesis {friedl2013,
	title = {Investigating the Transfer of Oxygen at the Wavy Air-Water Interface under Wind-Induced Turbulence},
	volume = {Dissertation},
	year = {2013},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Local oxygen (O2) transfer velocities measured in a linear wind-wave tunnel with respect to wind speed and fetch are presented in this thesis. For this, a non-intrusive laser-induced fluorescence (LIF) method was developed to measure vertical O2 concentration profiles in the water-sided mass boundary layer. The fluorophore used is a water soluble ruthenium complex, which is quenched according to the Stern-Volmer equation. This equation, which originally describes the quenching only for a weak excitation, was generalized for arbitrary laser irradiance. Measurements confirm this generalization and yield a new value for the Stern-Volmer constant. The LIF method was applied with high spatial and temporal resolution of 6.2 {\textmu}m m and 1.2 kHz, respectively, in order to resolve the mass boundary layer and fast processes. To obtain mean O2 concentration profiles with high precision, an algorithm was developed to detect the water surface in the recorded images. The measured mean concentration profiles show a transition in the self-similar shape with the onset of waves. The results for a flat water surface are in agreement with the surface renewal model. For a wavy water surface, the small eddy model and the surface renewal model both describe the data equally well. Vanishing O2 concentration fluctuations at the flat water surface were measured, which is in agreement with existing models for a rigid interface. The local transfer velocities obtained from mean concentration profiles are best parametrized with the friction velocity. In this work, the great potential of LIF measurements to probe transfer velocities locally is demonstrated.},
	url = {http://www.ub.uni-heidelberg.de/archiv/14582},
	author = {Felix Friedl}
}
@article {fiaschi_13_keeping,
	title = {Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects},
	journal = {ISBI 2013.Proceedings},
	year = {2013},
	note = {1},
	pages = {656-659},
	doi = {10.1109/ISBI.2013.6556560},
	author = {Fiaschi, L. and Karl-Heinz Grosser and Afonso, B. and Zlatic, M. and Fred A. Hamprecht}
}
@conference {straehle_13_ksmallest,
	title = {K-smallest Spanning Tree Segmentations},
	booktitle = {German Conference on Pattern Recognition (DAGM/GCPR). Proceedings},
	number = {8142},
	year = {2013},
	note = {1},
	pages = {375-384},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-40602-7_40},
	author = {Christoph N. Straehle and Peter, S. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@phdthesis {krall2013,
	title = {Laboratory Investigations of Air-Sea Gas Transfer under a Wide Range of Water Surface Conditions},
	volume = {Dissertation},
	year = {2013},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Transfer velocities of 5 sparingly soluble gases were measured in two different wind wave tanks at wind speeds between u10=1.2 m/s and 67 m/s. Two different gas analysis techniques were used, FT-IR and UV spectroscopy. Additionally, a method was developed that allows the parallel measurement of gas transfer velocity and the solubility. The fast {\textquoteright}controlled leakage{\textquoteright} method for the measurement of gas transfer velocities was found to be not precise enough to measure Schmidt number exponents and transfer velocities in the Aeolotron. Gas transfer velocities measured spanned more than 3 orders of magnitude, lying between 0.5 cm/h and 1100 cm/h. At lower wind speeds, measured in the Heidelberg Aeolotron, the change of the Schmidt number exponent from 2/3 for a smooth to 1/2 for a wavy water surface was confirmed. A surfactant, which inhibits wave growth, was used in 3 of the 7 experiments. For all surfactant conditions, the change of the Schmidt number exponent spanned a wide range of wind speeds with the mid-point at u10=4.5 m/s for a clean, and at 9 m/s for a surface film covered water surface. It was confirmed that the mean square slope is suitable for the description of the transition of the Schmidt number exponent. The facet model could not reproduce the measured transfer velocities. The transfer velocities measured were found to scale very poorly with the commonly used parameter wind speed u10. The correlation between the mean square slope of the water surface and the transfer velocities was found to be good, except at the lowest mean square slopes. In the Kyoto high speed wind-wave tank, the effect of strong wave breaking and bubble entrainment on the gas transfer velocity was studied. Gas transfer velocities were split up into a purely wave induced part and a part caused by bubbles and wave breaking. The measured gas transfer velocities were found to be up to 350\% larger than expected from waves alone at the highest wind speed. Three empirical parameterizations were tested on the bubble induced part, two successfully.},
	url = {http://www.ub.uni-heidelberg.de/archiv/14392},
	author = {Kerstin E. Krall}
}
@mastersthesis {walecki_13_large-scale,
	title = {Large-Scale Automatic Reconstruction of Myelianated Axons and Detection of the Nodes of Ranvier},
	year = {2013},
	school = {University of Heidelberg},
	author = {Walecki, R.}
}
@phdthesis {fiaschi_13_learning,
	title = {Learning Based Biological Image Analysis},
	year = {2013},
	publisher = {University of Heidelberg},
	author = {Fiaschi, L.}
}
@conference {Jancsary2013,
	title = {Learning convex QP relaxations for structured prediction},
	booktitle = {30th International Conference on Machine Learning, ICML 2013},
	number = {PART 3},
	year = {2013},
	pages = {1952{\textendash}1960},
	abstract = {We introduce a new large margin approach to discriminative training of intractable discrete graphical models. Our approach builds on a convex quadratic programming relaxation of the MAP inference problem. The model parameters are trained directly within this restricted class of energy functions so as to optimize the predictions on the training data. We address the issue of how to parameterize the resulting model and point out its relation to existing approaches. The primary motivation behind our use of the QP relaxation is its computational efficiency; yet, empirically, its predictive accuracy compares favorably to more expensive approaches. This makes it an appealing choice for many practical tasks. Copyright 2013 by the author(s).},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Carsten Rother}
}
@conference {diego_13_learning2,
	title = {Learning Multi-Level Sparse Representation},
	booktitle = {NIPS. Proceedings},
	year = {2013},
	note = {1},
	url = {http://papers.nips.cc/paper/5076-learning-multi-level-sparse-representations},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@conference {diego_13_learning,
	title = {Learning Multi-Level Sparse Representation for Identifying Neuronal Activity},
	booktitle = {Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts.},
	year = {2013},
	note = {1},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@conference {kroeger_13_learning,
	title = {Learning to Segment Neurons with Non-local Quality Measures},
	booktitle = {MICCAI 2013. Proceedings, part II},
	volume = {8150},
	year = {2013},
	note = {1},
	pages = {419-427},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-40763-5_52},
	author = {Thorben Kr{\"o}ger and Mikula, S. and Denk, W. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {antic:HACI:2013,
	title = {Less is More: Video Trimming for Action Recognition},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision, Workshop on Understanding Human Activities: Context and Interaction},
	year = {2013},
	pages = {515--521},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Antic, B. and Timo Milbich and Bj{\"o}rn Ommer}
}
@article {SchmitzerSchnoerr-JMIV2012,
	title = {Modelling convex shape priors and matching based on the Gromov-Wasserstein distance},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {46},
	number = {1},
	year = {2013},
	pages = {143-159},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {SchmitzerSchnoerr-JMIV2012,
	title = {Modelling convex shape priors and matching based on the Gromov-Wasserstein distance},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {46},
	number = {1},
	year = {2013},
	pages = {143-159},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@conference {monroy:SCCH:2013,
	title = {A Morphometric Approach to Reception Analysis of Premodern Art},
	booktitle = {Scientific Computing \& Cultural Heritage},
	year = {2013},
	author = {Monroy, A. and Bell, P. and Bj{\"o}rn Ommer}
}
@conference {becker_13_movie,
	title = {Movie Dimensionalization Via Sparse User Annotations},
	booktitle = {submitted to 3DTV-Con},
	year = {2013},
	note = {1},
	author = {Becker, M. and Baron, M. and Daniel Kondermann and Bussler, M. and Helzle, V.}
}
@conference {kondermann_13_movie,
	title = {Movie Dimensionalization Via Sparse User Annotations},
	booktitle = {submitted to ICCV},
	year = {2013},
	note = {1},
	author = {Daniel Kondermann and Becker, M.}
}
@article {bell:VR:2013,
	title = {Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History},
	journal = {Visual Resources Journal, Special Issue on Digital Art History},
	volume = {29},
	number = {1-2},
	year = {2013},
	pages = {26--37},
	publisher = {Taylor \& Francis},
	url = {http://www.tandfonline.com/doi/abs/10.1080/01973762.2013.761111},
	author = {Bell, P. and Schlecht, J. and Bj{\"o}rn Ommer}
}
@conference {SchmitzerSchnoerr-EMMCVPR2013,
	title = {Object Segmentation by Shape Matching with Wasserstein Modes},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013)},
	year = {2013},
	pages = {123-136},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@conference {kiefhaber2013,
	title = {Optical measurement of surface ocean waves},
	booktitle = {3rd EOS Topical Meeting on Blue Photonics --- Optics in the Sea},
	year = {2013},
	note = {best student poster award},
	doi = {10.5281/zenodo.12334},
	author = {Daniel Kiefhaber and Roland Rocholz and Paulus Salomon Bauer and Bernd J{\"a}hne}
}
@phdthesis {atif2013a,
	title = {Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations},
	year = {2013},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/15594},
	author = {Atif, Muhammad}
}
@phdthesis {atif2013a,
	title = {Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations},
	volume = {Dissertation},
	year = {2013},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00015594},
	author = {Muhammad Atif}
}
@article {atif2013,
	title = {Optimal Depth Estimation from a Single Image by Computational Imaging Using Chromatic Aberrations},
	journal = {tm --- Technisches Messen},
	volume = {80},
	year = {2013},
	pages = {343--348},
	abstract = {We present a computational imaging approach to estimate the depth from a single image using axial chromatic aberrations. It includes a co-design of optics and digital processing to select the optimal parameters of a lens such as focal length, f-number, and chromatic focal shift according to the performance of a depth estimation algorithm on the digital side. A simulation framework evaluates the complete systems performance in different imaging conditions including optimal axial chromatic lens aberration. A low-complexity algorithm estimates the depth map of real scenes. Experiments on real and synthetic scenes show the feasibility of the proposed system for depth estimation. In the case of relatively broadband object spectra and a lens with focal length of 4 mm, depth is estimated with an RMS error of 6{\textendash}10\%.},
	doi = {10.1515/teme.2013.0042},
	author = {Atif, Muhammad and Bernd J{\"a}hne}
}
@article {lellmann_13_optimality,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning
Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47 (3)},
	year = {2013},
	note = {1},
	pages = {239-257},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr}
}
@inbook {garbe:MBPE:2013,
	title = {Parameter Estimation in Image Processing and Computer Vision},
	booktitle = {Model Based Parameter Estimation: Theory and Applications},
	year = {2013},
	pages = {311--334},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-30366-1},
	author = {Christoph S. Garbe and Bj{\"o}rn Ommer}
}
@conference {swoboda_13_partial,
	title = {Partial Optimality via Iterative Pruning for the Potts Model},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM},
	number = {7893},
	year = {2013},
	note = {1},
	pages = {477-488},
	doi = {10.1007/978-3-642-38267-3_40},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {SwobodaSSVM13,
	title = {Partial Optimality via Iterative Pruning for the Potts Model},
	booktitle = {Scale Space and Variational Methods (SSVM 2013)},
	year = {2013},
	author = {Swoboda, Paul and Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {SwobodaSSVM13,
	title = {Partial Optimality via Iterative Pruning for the Potts Model},
	booktitle = {Scale Space and Variational Methods (SSVM 2013)},
	year = {2013},
	author = {Paul Swoboda and Bogdan Savchynskyy and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {swoboda_13_persistency,
	title = {Persistency by Pruning for General Graphical Models},
	booktitle = {submitted to NIPS 2013.},
	year = {2013},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@article {geese2013a,
	title = {PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics},
	journal = {tm --- Technisches Messen},
	volume = {80},
	year = {2013},
	pages = {321--328},
	doi = {10.1515/teme.2013.0039},
	author = {Geese, Marc and Paul Ruhnau and Bernd J{\"a}hne}
}
@incollection {wanner2013reconstructing,
	title = {Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images},
	year = {2013},
	pages = {1--10},
	publisher = {Springer},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@inbook {ommer:SPHCV:2013,
	title = {The Role of Shape in Visual Recognition},
	booktitle = {Shape Perception in Human Computer Vision: An Interdisciplinary Perspective},
	year = {2013},
	pages = {373--385},
	publisher = {Springer},
	organization = {Springer},
	author = {Bj{\"o}rn Ommer}
}
@mastersthesis {roeder_13_simplestorm,
	title = {SimpleSTORM an Efficient Selfcalibrating Reconstruction Algorithm for Single and Multi-Channel Localisation Microscopy},
	year = {2013},
	school = {University of Heidelberg},
	author = {Herrmannsd{\"o}rfer, F.}
}
@conference {meister_13_simulation,
	title = {Simulation of Time-of-Flight Sensors using Global Illumination},
	booktitle = {Vision, Modeling and Visualization (VMV), 2013 International Workshop
on. Proceedings},
	year = {2013},
	pages = {33-40},
	doi = {10.2312/PE.VMV.VMV13.033-040},
	author = {Stephan Meister and Nair, R. and Daniel Kondermann}
}
@conference {berger_13_state,
	title = {A State of the Art Report on Kinect Sensor Setups in Computer Vision},
	booktitle = {Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications},
	volume = {8200},
	year = {2013},
	pages = {257-272},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-44964-2_12},
	author = {Berger, K. and Stephan Meister and Nair, R. and Daniel Kondermann},
	editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Reinhard Koch}
}
@conference {nair_13_survey,
	title = {A Survey on Time-of-Flight Stereo Fusion},
	booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications},
	volume = {8022},
	year = {2013},
	pages = {105-127},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-44964-2_6},
	author = {Nair, R. and Ruhl, K. and Frank Lenzen and Stephan Meister and Sch{\"a}fer, H. and Christoph S. Garbe and Eisemann, M. and Daniel Kondermann},
	editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Reinhard Koch}
}
@incollection {Nair2013survey,
	title = {A Survey on Time-of-Flight Stereo Fusion},
	volume = {8200},
	year = {2013},
	pages = {105-127},
	publisher = {Springer},
	author = {Nair, Rahul and Ruhl, Kai and Frank Lenzen and Stephan Meister and Sch{\"a}fer, Henrik and Christoph S. Garbe and Eisemann, Martin and Magnor, Marcus and Daniel Kondermann},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Andreas Kolb and Reinhard Koch}
}
@incollection {Nair2013survey,
	title = {A Survey on Time-of-Flight Stereo Fusion},
	volume = {8200},
	year = {2013},
	pages = {105-127},
	publisher = {Springer},
	author = {Nair, Rahul and Ruhl, Kai and Lenzen, Frank and Meister, Stephan and Sch{\"a}fer, Henrik and Garbe, Christoph S. and Eisemann, Martin and Magnor, Marcus and Kondermann, Daniel},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Koch, Reinhard and Kolb, Andreas}
}
@incollection {Lefloch2013foundations,
	title = {Technical Foundation and Calibration Methods for Time-of-Flight Cameras},
	volume = {8200},
	year = {2013},
	pages = {3-24},
	publisher = {Springer},
	author = {Damien Lefloch and Rahul Nair and Frank Lenzen and Henrik Sch{\"a}fer and Lee Streeter and Michael J. Cree and Reinhard Koch and Andreas Kolb},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Koch, Reinhard and Kolb, Andreas}
}
@conference {lefloch_13_technical,
	title = {Technical Foundation and Calibration Methods for Time-of-Flight Cameras},
	booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications},
	volume = {8200},
	number = {3-24},
	year = {2013},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-44964-2_1},
	author = {Lefloch, D. and Nair, R. and Frank Lenzen and Sch{\"a}fer, H. and Streeter, L. and Michael J. Cree},
	editor = {Reinhard Koch and Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Andreas Kolb and Reinhard Koch}
}
@article {GSC13:vml,
	title = {Tight convex relaxations for vector-valued labeling},
	journal = {SIAM Journal on Imaging Sciences},
	year = {2013},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@article {davis2013,
	title = {Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)},
	journal = {Dagstuhl Reports},
	volume = {2},
	number = {10},
	year = {2013},
	pages = {79--104},
	publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
	abstract = {This report documents the program and the outcomes of Dagstuhl Seminar 12431 "Time-of-Flight Imaging: Algorithms, Sensors and Applications". The seminar brought together researchers with diverse background from both academia and industry to discuss various aspects of Time-of-Flight imaging and general depth sensors. The executive summary and abstracts of the talks given during the seminar as well as the outcome of several working groups on specific research topics are presented in this report.},
	issn = {2192-5283},
	doi = {http://dx.doi.org/10.4230/DagRep.2.10.79},
	url = {http://drops.dagstuhl.de/opus/volltexte/2013/3904},
	editor = {Davis, James and Bernd J{\"a}hne and Andreas Kolb and Raskar, Ramesh and Theobalt, Christian and Davis, James and Bernd J{\"a}hne and Raskar, Ramesh and Theobalt, Christian and Andreas Kolb}
}
@inbook {yarlagadda:SCCH:2013,
	title = {Towards a Computer-based Understanding of Medieval Images},
	booktitle = {Scientific Computing \& Cultural Heritage},
	year = {2013},
	pages = {89--97},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-28020-7},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-28021-4_10},
	author = {Yarlagadda, P. and Monroy, A. and Bernd Carque and Bj{\"o}rn Ommer}
}
@conference {Kappes-2013,
	title = {Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization},
	booktitle = {CVPR},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Speth, Markus and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@conference {Kappes-2013,
	title = {Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization},
	booktitle = {CVPR},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Markus Speth and Gerhard Reinelt and Christoph Schn{\"o}rr}
}
@phdthesis {kausler_13_tracking,
	title = {Tracking-by-Assignment as a Probabilistic Graphical Model with Applications in Developmental Biology},
	year = {2013},
	publisher = {University of Heidelberg},
	author = {Bernhard X. Kausler}
}
@conference {LNCS80810321,
	title = {Variational Image Segmentation and Cosegmentation with the Wasserstein Distance},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition},
	volume = {8081},
	year = {2013},
	pages = {321--334},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-40394-1},
	author = {Swoboda, Paul and Christoph Schn{\"o}rr},
	editor = {Heyden, Anders and Kahl, Fredrik and Oskarsson, Magnus and Tai, Xue-Cheng and Olsson, Carl}
}
@conference {LNCS80810321,
	title = {Variational Image Segmentation and Cosegmentation with the Wasserstein Distance},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition},
	series = {Lecture Notes in Computer Science},
	volume = {8081},
	year = {2013},
	pages = {321{\textendash}334},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-40394-1},
	author = {Paul Swoboda and Christoph Schn{\"o}rr},
	editor = {Anders Heyden and Fredrik Kahl and Carl Olsson and Magnus Oskarsson and Xue-Cheng Tai}
}
@article {Becker-et-al-13a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	journal = {International Journal of Computer Vision},
	volume = {105},
	year = {2013},
	pages = {269--297},
	publisher = {Springer US},
	issn = {0920-5691},
	doi = {10.1007/s11263-013-0639-7},
	url = {http://dx.doi.org/10.1007/s11263-013-0639-7},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@article {Becker-et-al-13a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	journal = {International Journal of Computer Vision},
	volume = {105},
	year = {2013},
	pages = {269{\textendash}297},
	publisher = {Springer US},
	keywords = {Dense depth map, Recursive formulation, Structure from motion, Variational approach},
	issn = {0920-5691},
	doi = {10.1007/s11263-013-0639-7},
	url = {http://dx.doi.org/10.1007/s11263-013-0639-7},
	author = {Florian Becker and Lenzen, Frank and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@article {becker_13_variational,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and
Camera Motion from Monocular High Speed Traffic Sequences},
	journal = {International Journal of Computer Vision},
	volume = {105 (3)},
	year = {2013},
	note = {1},
	pages = {269-297},
	doi = {10.1007/s11263-013-0639-7},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {goldluecke2013,
	title = {The Variational Structure of Disparity and Regularization of 4D Light Fields},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2013},
	author = {Bastian Goldl{\"u}cke and Sven Wanner}
}
@conference {jaehne2013,
	title = {Von optischer 3D-Messtechnik zu lichtfeldbasierter Bildakquisition und -verarbeitung},
	booktitle = {Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beitr{\"a}ge der Oldenburger 3D-Tage 2013},
	year = {2013},
	note = {eingeladener Er{\"o}ffnungsvortrag},
	pages = {1--8},
	publisher = {Wichmann},
	organization = {Wichmann},
	url = {http://www.ub.uni-heidelberg.de/archiv/17698},
	author = {Bernd J{\"a}hne},
	editor = {Thomas Luhmann and M{\"u}ller, Christina}
}
@mastersthesis {xu_13_weakly,
	title = {Weakly supervised learning: Active schemes and partial annotations},
	year = {2013},
	school = {University of Heidelberg},
	author = {Xu, B.}
}
@conference {straehle_13_weakly,
	title = {Weakly supervised learning of image partitioning using decision trees with structured split criteria},
	booktitle = {ICCV 2013. Proceedings},
	year = {2013},
	note = {1},
	pages = {1849-1856},
	doi = {10.1109/ICCV.2013.232},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {marquez_13_when,
	title = {When is a confidence measure good enough?},
	journal = {submitted to CVPR 2013},
	year = {2013},
	note = {1},
	author = {Márquez-Valle, P. and Gil, D. and Hernàndez-Sabaté, A. and Daniel Kondermann}
}
@article {andres_11_3d,
	title = {3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries},
	journal = {Medical Image Analysis},
	volume = {16 (2012)},
	year = {2012},
	note = {1},
	pages = {796-805},
	doi = {10.1016/j.media.2011.11.004},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Helmstaedter, M. and K. L. Briggmann and Denk, W. and Fred A. Hamprecht}
}
@booklet {jaehne2012h,
	title = {50. Heidelberger Bildverarbeitungsforum --- Jubil{\"a}umsinterview mit Prof. Dr. Bernd J{\"a}hne},
	year = {2012},
	author = {Bernd J{\"a}hne}
}
@article {hanselmann_12_active,
	title = {Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images},
	journal = {Analytical Chemistry},
	volume = {85 (1)},
	year = {2012},
	note = {1},
	pages = {147-155},
	doi = {10.1021/ac3023313},
	author = {Hanselmann, M. and R{\"o}der, J. and Ullrich K{\"o}the and B. Y. Renard and Heeren, R. M. A. and Fred A. Hamprecht}
}
@article {roeder_12_active,
	title = {Active Learning with Distributional Estimates},
	journal = {UAI 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {715-725},
	author = {R{\"o}der, J. and Kunzmann, K. and Nadler, B. and Fred A. Hamprecht}
}
@conference {nagel2012,
	title = {Active Thermography as a Link between Laboratory and Field Studies},
	booktitle = {SOLAS Open Science Conference, Washington State, USA},
	year = {2012},
	author = {Leila Nagel and Kerstin E. Richter and Bernd J{\"a}hne}
}
@incollection {jaehne2012f,
	title = {Atmosphere-water exchange},
	volume = {1},
	year = {2012},
	pages = {175--193},
	publisher = {Springer},
	doi = {10.1007/978-1-4614-5731-2_8},
	author = {Bernd J{\"a}hne},
	editor = {John S. Gulliver}
}
@incollection {jaehne2012d,
	title = {Atmosphere-water exchange},
	volume = {1},
	year = {2012},
	pages = {594--606},
	publisher = {Springer},
	doi = {10.1007/978-1-4419-0851-3_644},
	author = {Bernd J{\"a}hne},
	editor = {Robert A. Meyers}
}
@phdthesis {kreshuk_12_automated,
	title = {Automated Analysis of Biomedical Data from Low to High Resolution},
	year = {2012},
	publisher = {University of Heidelberg},
	author = {Anna Kreshuk}
}
@article {zechmann_12_automated,
	title = {Automated vs. manual pattern recognition of 3D 1H MRSI data of patients with prostate cancer},
	journal = {Academic Radiology},
	volume = {19, 6},
	year = {2012},
	pages = {675-684},
	doi = {10.1016/j.acra.2012.02.014},
	author = {C. M. Zechmann and Bjoern H. Menze and B. Michael Kelm and Zamecnik, P. and Ikinger, U. and Waldherr, R. and Delorme, S. and Fred A. Hamprecht and Bachert, P.}
}
@proceedings {monroy:ECCV:2012,
	title = {Beyond Bounding-Boxes: Learning Object Shape by Model-driven Grouping},
	volume = {7574},
	year = {2012},
	pages = {582--595},
	publisher = {Springer},
	doi = {10.1007/978-3-642-33712-3_42},
	author = {Monroy, A. and Bj{\"o}rn Ommer}
}
@article {voss2012exp,
	title = {Bichromatic Particle Streak Velocimetry bPSV -- Interfacial, v3C3D velocimetry using a single camera},
	journal = {Exp. Fluids},
	year = {2012},
	note = {Submitted},
	author = {Bj{\"o}rn Voss and Julian Stapf and A. Berthe and Christoph S. Garbe}
}
@article {fehr_12_bilder,
	title = {Bilder berechnen - nicht nur aufnehmen},
	journal = {Optik \& Photonik},
	volume = {7},
	year = {2012},
	pages = {50-53},
	doi = {10.1002/opph.201290021},
	author = {Fehr, J. and Bernd J{\"a}hne}
}
@article {fehr2012,
	title = {Bilder berechnen --- nicht nur aufnehmen : {\textquoteleft}{\textquoteleft}Computational Photography{\textquoteright}{\textquoteright} wird zunehmend interessant f{\"u}r die industrielle Bildverarbeitung},
	journal = {Optik \& Photonik},
	volume = {7},
	number = {1},
	year = {2012},
	pages = {50--53},
	doi = {10.1002/opph.201290021},
	author = {Fehr, Janis and Bernd J{\"a}hne}
}
@article {Lempitsky2012,
	title = {Branch-and-mincut: Global optimization for image segmentation with high-level priors},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {44},
	number = {3},
	year = {2012},
	pages = {315{\textendash}329},
	abstract = {Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from low-level cues. However, introducing a high-level prior such as a shape prior or a color-distribution prior into the segmentation process typically results in an energy that is much harder to optimize. The main contribution of the paper is a new global optimization framework for a wide class of such energies. The framework is built upon two powerful techniques: graph cut and branch-and-bound. These techniques are unified through the derivation of lower bounds on the energies. Being computable via graph cut, these bounds are used to prune branches within a branchand-bound search. We demonstrate that the new framework can compute globally optimal segmentations for a variety of segmentation scenarios in a reasonable time on a modern CPU. These scenarios include unsupervised segmentation of an object undergoing 3D pose change, category-specific shape segmentation, and the segmentation under intensity/color priors defined by Chan-Vese and GrabCut functionals. {\textcopyright} Springer Science+Business Media, LLC 2011.},
	keywords = {Branch-and-bound, Global optimization, Graph Cuts, Image segmentation, Shape priors},
	issn = {09249907},
	doi = {10.1007/s10851-012-0328-0},
	author = {Lempitsky, Victor and Blake, Andrew and Carsten Rother}
}
@conference {Kappes2012,
	title = {A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation},
	booktitle = {CVPR},
	year = {2012},
	note = {in press},
	author = {J{\"o}rg H. Kappes and Savchynskyy, Bogdan and Christoph Schn{\"o}rr}
}
@conference {kappes_12_bundle,
	title = {A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation},
	booktitle = {CVPR. Proceedings},
	year = {2012},
	note = {1},
	pages = {1688-1695},
	doi = {10.1109/CVPR.2012.6247863},
	author = {J{\"o}rg H. Kappes and Savchynskyy, B. and Christoph Schn{\"o}rr}
}
@article {geese_12_cnn,
	title = {CNN Based Dark Signal Non-Uniformity Estimation},
	journal = {CNNA},
	year = {2012},
	pages = {1-6},
	doi = {10.1109/CNNA.2012.6331408},
	author = {Geese, M. and Bernd J{\"a}hne and Paul Ruhnau}
}
@conference {geese2012,
	title = {CNN based dark signal non-uniformity estimation},
	booktitle = {Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on},
	year = {2012},
	pages = {1--6},
	doi = {10.1109/CNNA.2012.6331408},
	author = {Geese, M. and Paul Ruhnau and Bernd J{\"a}hne}
}
@booklet {Petra-Schnoerr-12b,
	title = {Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics},
	year = {2012},
	month = {September 19},
	url = {http://arxiv.org/abs/1209.4316},
	author = {Petra, S. and Schn{\"o}rr, C. and Schr{\"o}der, A.}
}
@conference {Shekhovtsov2012,
	title = {Curvature prior for MRF-based segmentation and shape inpainting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7476 LNCS},
	year = {2012},
	pages = {41{\textendash}51},
	abstract = {Most image labeling problems such as segmentation and image reconstruction are fundamentally ill-posed and suffer from ambiguities and noise. Higher-order image priors encode high-level structural dependencies between pixels and are key to overcoming these problems. However, in general these priors lead to computationally intractable models. This paper addresses the problem of discovering compact representations of higher-order priors which allow efficient inference. We propose a framework for solving this problem that uses a recently proposed representation of higher-order functions which are encoded as lower envelopes of linear functions. Maximum a Posterior inference on our learned models reduces to minimizing a pairwise function of discrete variables. We show that our framework can learn a compact representation that approximates a low curvature shape prior and demonstrate its effectiveness in solving shape inpainting and image segmentation problems. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642327162},
	issn = {03029743},
	doi = {10.1007/978-3-642-32717-9_5},
	author = {Shekhovtsov, Alexander and Kohli, Pushmeet and Carsten Rother}
}
@conference {Shekhovtsov2012a,
	title = {Curvature prior for MRF-based segmentation and shape inpainting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7476 LNCS},
	year = {2012},
	pages = {41{\textendash}51},
	abstract = {Most image labeling problems such as segmentation and image reconstruction are fundamentally ill-posed and suffer from ambiguities and noise. Higher-order image priors encode high-level structural dependencies between pixels and are key to overcoming these problems. However, in general these priors lead to computationally intractable models. This paper addresses the problem of discovering compact representations of higher-order priors which allow efficient inference. We propose a framework for solving this problem that uses a recently proposed representation of higher-order functions which are encoded as lower envelopes of linear functions. Maximum a Posterior inference on our learned models reduces to minimizing a pairwise function of discrete variables. We show that our framework can learn a compact representation that approximates a low curvature shape prior and demonstrate its effectiveness in solving shape inpainting and image segmentation problems. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642327162},
	issn = {03029743},
	doi = {10.1007/978-3-642-32717-9_5},
	url = {www.research.microsoft.com/vision/cambridge http://www.cs.ucl.ac.uk/staff/V.Kolmogorov/papers/StereoSegmentation_PAMI06.pdf\%5Cnpapers3://publication/uuid/F008E9F4-510D-4478-A3C0-1BFB22F6AEA0},
	author = {Shekhovtsov, Alexander and Kohli, Pushmeet and Carsten Rother}
}
@conference {Shekhovtsov2012b,
	title = {Curvature prior for MRF-based segmentation and shape inpainting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7476 LNCS},
	year = {2012},
	month = {sep},
	pages = {41{\textendash}51},
	abstract = {Most image labeling problems such as segmentation and image reconstruction are fundamentally ill-posed and suffer from ambiguities and noise. Higher-order image priors encode high-level structural dependencies between pixels and are key to overcoming these problems. However, in general these priors lead to computationally intractable models. This paper addresses the problem of discovering compact representations of higher-order priors which allow efficient inference. We propose a framework for solving this problem that uses a recently proposed representation of higher-order functions which are encoded as lower envelopes of linear functions. Maximum a Posterior inference on our learned models reduces to minimizing a pairwise function of discrete variables. We show that our framework can learn a compact representation that approximates a low curvature shape prior and demonstrate its effectiveness in solving shape inpainting and image segmentation problems. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642327162},
	issn = {03029743},
	doi = {10.1007/978-3-642-32717-9_5},
	url = {http://arxiv.org/abs/1109.1480},
	author = {Shekhovtsov, Alexander and Kohli, Pushmeet and Carsten Rother}
}
@book {jaehne2012e,
	title = {Digitale Bildverarbeitung und Bildgewinnung},
	year = {2012},
	publisher = {Springer Vieweg},
	organization = {Springer Vieweg},
	isbn = {978-3-642-04951-4},
	doi = {10.1007/978-3-642-04952-1},
	url = {http://www.springer.com/engineering/signals/book/978-3-642-04951-4},
	author = {Bernd J{\"a}hne}
}
@conference {kausler_12_discrete,
	title = {A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness},
	booktitle = {ECCV 2012. Proceedings},
	volume = {7574},
	year = {2012},
	note = {1},
	pages = {144-157},
	doi = {10.1007/978-3-642-33712-3_11},
	author = {Bernhard X. Kausler and Schiegg, M. and Bj{\"o}rn Andres and Lindner, M. and Ullrich K{\"o}the and Leitte, H. and Wittbrodt, J. and Hufnagel, L. and Fred A. Hamprecht}
}
@conference {schaefer_12_edge,
	title = {Edge Detection in Time-of-Flight Images},
	booktitle = {submitted to ECCV, 2nd Workshop on Consumer Depth Cameras for Computer
Vision},
	year = {2012},
	note = {1},
	author = {Sch{\"a}fer, H. and Frank Lenzen and Stephan Meister and Christoph S. Garbe}
}
@article {funke_12_efficient,
	title = {Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data},
	journal = {CVPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {1004-1011},
	doi = {10.1109/CVPR.2012.6247777},
	author = {Funke, J. and Bj{\"o}rn Andres and Fred A. Hamprecht and A. Cardona and Cook, M.}
}
@article {savchynskyy_12_efficient,
	title = {Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing},
	journal = {UAI. Proceedings},
	year = {2012},
	note = {1},
	pages = {746-755},
	author = {Savchynskyy, B. and Schmidt, S. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {SavchynskyyUAI2012,
	title = {Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing},
	booktitle = {UAI 2012},
	year = {2012},
	note = {in press},
	author = {Savchynskyy, Bogdan and Schmidt, Stefan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {erz2012a,
	title = {Erweiterte Sch{\"a}rfentiefe mittels Scheimpflug-Bildaufnahme und Bildfusion},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {1--12},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Michael Erz and Wolfgang Mischler and Trein, Johannes and Zhuang Lin and Lay, Ralf and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {Bleyer2012,
	title = {Extracting 3D scene-consistent object proposals and depth from stereo images},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7576 LNCS},
	number = {PART 5},
	year = {2012},
	pages = {467{\textendash}481},
	abstract = {This work combines two active areas of research in computer vision: unsupervised object extraction from a single image, and depth estimation from a stereo image pair. A recent, successful trend in unsupervised object extraction is to exploit so-called "3D scene-consistency", that is enforcing that objects obey underlying physical constraints of the 3D scene, such as occupancy of 3D space and gravity of objects. Our main contribution is to introduce the concept of 3D scene-consistency into stereo matching. We show that this concept is beneficial for both tasks, object extraction and depth estimation. In particular, we demonstrate that our approach is able to create a large set of 3D scene-consistent object proposals, by varying e.g. the prior on the number of objects. After automatically ranking the proposals we show experimentally that our results are considerably closer to ground truth than state-of-the-art techniques which either use stereo or monocular images. We envision that our method will build the front-end of a future object recognition system for stereo images. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642337147},
	issn = {03029743},
	doi = {10.1007/978-3-642-33715-4_34},
	url = {http://vision.middlebury.edu/stereo/},
	author = {Bleyer, Michael and Rhemann, Christoph and Carsten Rother}
}
@conference {Bleyer2012a,
	title = {Extracting 3D scene-consistent object proposals and depth from stereo images},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7576 LNCS},
	number = {PART 5},
	year = {2012},
	pages = {467{\textendash}481},
	abstract = {This work combines two active areas of research in computer vision: unsupervised object extraction from a single image, and depth estimation from a stereo image pair. A recent, successful trend in unsupervised object extraction is to exploit so-called "3D scene-consistency", that is enforcing that objects obey underlying physical constraints of the 3D scene, such as occupancy of 3D space and gravity of objects. Our main contribution is to introduce the concept of 3D scene-consistency into stereo matching. We show that this concept is beneficial for both tasks, object extraction and depth estimation. In particular, we demonstrate that our approach is able to create a large set of 3D scene-consistent object proposals, by varying e.g. the prior on the number of objects. After automatically ranking the proposals we show experimentally that our results are considerably closer to ground truth than state-of-the-art techniques which either use stereo or monocular images. We envision that our method will build the front-end of a future object recognition system for stereo images. {\textcopyright} 2012 Springer-Verlag.},
	keywords = {Object Segmentation, Stereo Matching},
	isbn = {9783642337147},
	issn = {03029743},
	doi = {10.1007/978-3-642-33715-4_34},
	author = {Bleyer, Michael and Rhemann, Christoph and Carsten Rother}
}
@phdthesis {lin2012,
	title = {Fluorescence Lifetime Imaging Camera: Image Analysis, Optimization and Enhancement},
	volume = {Dissertation},
	year = {2012},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/13546},
	author = {Zhuang Lin}
}
@conference {yarlagadda:ECCV:2012,
	title = {From Meaningful Contours to Discriminative Object Shape},
	booktitle = {Proceedings of the European Conference on Computer Vision},
	volume = {7572},
	year = {2012},
	pages = {766--779},
	publisher = {Springer},
	organization = {Springer},
	author = {Yarlagadda, P. and Bj{\"o}rn Ommer}
}
@techreport {krall2012,
	title = {Gas Exchange Test Campaign at the Kyoto High Speed Wind-Wave Tank 2011},
	year = {2012},
	institution = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg},
	author = {Kerstin Ellen Krall}
}
@incollection {jaehne2012,
	title = {Gas transfer at water surfaces},
	year = {2012},
	pages = {389--404},
	publisher = {CRC Press/Balkema},
	chapter = {22},
	url = {http://www.crcnetbase.com/isbn/9780203803967},
	author = {Bernd J{\"a}hne},
	editor = {W. Rodi and M. Uhlmann}
}
@booklet {jaehne2012a,
	title = {Gegenwart und Zukunft der industriellen Bildverarbeitung --- Aufbruch in drei Dimensionen plus},
	year = {2012},
	url = {http://www.qm-infocenter.de/258063},
	author = {Bernd J{\"a}hne}
}
@article {savchynskyy_12_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	journal = {arXiv:1210.4081},
	year = {2012},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {wanner_12_globally,
	title = {Globally Consistent Depth Labeling of 4D Light Fields},
	booktitle = {CVPR. Proceedings},
	year = {2012},
	note = {1},
	pages = {41-48},
	doi = {10.1109/CVPR.2012.6247656},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@conference {WG12:cvpr,
	title = {Globally Consistent Depth Labeling of 4D Lightfields},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2012},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@conference {andres_12_globally,
	title = {Globally Optimal Closed-Surface Segmentation for Connectomics},
	booktitle = {ECCV 2012. Proceedings, Part 3},
	number = {7574},
	year = {2012},
	note = {1},
	pages = {778-791},
	doi = {10.1007/978-3-642-33712-3_56},
	author = {Bj{\"o}rn Andres and Thorben Kr{\"o}ger and K. L. Briggmann and Denk, W. and Norogod, N. and G. W. Knott and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@incollection {nair2012,
	title = {Ground truth for evaluating time of flight imaging},
	volume = {8200},
	year = {2012},
	pages = {52--74},
	publisher = {Springer},
	doi = {10.1007/978-3-642-44964-2_4},
	author = {Nair, Rahul and Stephan Meister and Lambers, Martin and Balda, Michael and Hofmann, Hannes and Andreas Kolb and Daniel Kondermann and Bernd J{\"a}hne}
}
@conference {nair_12_high,
	title = {High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates},
	booktitle = {submitted to ECCV 2012},
	volume = {7584},
	year = {2012},
	note = {1},
	pages = {1-11},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-33868-7_1},
	author = {Nair, R. and Frank Lenzen and Sch{\"a}fer, H. and Stephan Meister and Christoph S. Garbe and Daniel Kondermann}
}
@conference {Nair2012highaccuracy,
	title = {High accuracy TOF and stereo sensor fusion at interactive rates},
	booktitle = {Computer Vision--ECCV 2012. Workshops and Demonstrations},
	year = {2012},
	pages = {1--11},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	author = {Nair, Rahul and Frank Lenzen and Stephan Meister and Sch{\"a}fer, Henrik and Christoph S. Garbe and Daniel Kondermann}
}
@conference {Nair2012highaccuracy,
	title = {High accuracy TOF and stereo sensor fusion at interactive rates},
	booktitle = {Computer Vision{\textendash}ECCV 2012. Workshops and Demonstrations},
	year = {2012},
	pages = {1{\textendash}11},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	author = {Nair, Rahul and Lenzen, Frank and Meister, Stephan and Sch{\"a}fer, Henrik and Garbe, Christoph S. and Kondermann, Daniel}
}
@unpublished {rocholz2012,
	title = {High speed and high resolution wave imaging to investigate the initial generation of wind waves at very small fetch},
	year = {2012},
	note = {WISE (Waves In Shallow Environments) 2012, 19th International Conference, Barcelona, Spain},
	url = {http://hci.iwr.uni-heidelberg.de/publications/dip/MISC/WISE_2012_rrocholz/2012_WISE_rrocholz_noVideos.pdf},
	author = {Roland Rocholz and Patrick Fahle and Bernd J{\"a}hne}
}
@phdthesis {franke2012,
	title = {Hochintegriertes Kamerasystem f{\"u}r die Multifrequenz-Lumineszenzabklingzeitbildgewinnung},
	year = {2012},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/13464},
	author = {Franke, Robert}
}
@phdthesis {franke2012,
	title = {Hochintegriertes Kamerasystem f{\"u}r die Multifrequenz-Lumineszenzabklingzeitbildgewinnung},
	volume = {Dissertation},
	year = {2012},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00013464},
	author = {Franke, Robert}
}
@conference {jaehne2012g,
	title = {Investigation of small-scale air-sea interaction processes by active thermography},
	booktitle = {Geoscience and Remote Sensing Symposium (IGARSS)},
	year = {2012},
	pages = {358--361},
	doi = {10.1109/IGARSS.2012.6351564},
	author = {Bernd J{\"a}hne and Leila Nagel}
}
@article {diego_12_joint,
	title = {Joint SpatioTemporal Alignment of Sequences},
	journal = {IEEE Transactions on Multimedia (TMM)},
	volume = {PP (99)},
	year = {2012},
	note = {1},
	pages = {1},
	doi = {10.1109/TMM.2013.2247390},
	author = {Ferran Diego and Serrat, J. and López, A. M.}
}
@conference {andres_12_lazy,
	title = {The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models},
	booktitle = {Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}},
	year = {2012},
	doi = {10.1007/978-3-642-33786-4_12},
	url = {http://dx.doi.org/10.1007/978-3-642-33786-4_12},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres12,
	title = {The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models},
	booktitle = {ECCV 2012},
	year = {2012},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres12,
	title = {The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models},
	booktitle = {ECCV 2012},
	year = {2012},
	author = {Bj{\"o}rn Andres and J{\"o}rg Hendrik Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {yarlagadda:BMVC:2012,
	title = {Learning Discriminative Chamfer Regularization},
	booktitle = {BMVC},
	year = {2012},
	pages = {1--11},
	publisher = {Springer},
	organization = {Springer},
	url = {http://www.bmva.org/bmvc/2012/BMVC/paper020/paper020.pdf},
	author = {Yarlagadda, P. and Eigenstetter, A. and Bj{\"o}rn Ommer}
}
@article {fiaschi_12_learning,
	title = {Learning to Count with Regression Forest and Structured Labels},
	journal = {ICPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {2685-2688},
	author = {Fiaschi, L. and Nair, R. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {lou_12_learning,
	title = {Learning to Segment Dense Cell Nuclei with Shape Prior},
	journal = {CVPR 2012. Proceedings},
	number = {0213},
	year = {2012},
	note = {1},
	pages = {1012-1018},
	doi = {10.1109/CVPR.2012.6247778},
	author = {Lou, X. and Fred A. Hamprecht}
}
@article {sommer_12_learning-based,
	title = {Learning-based Mitotic Cell Detection in Histopathological Images},
	journal = {ICPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {2306-2309},
	author = {Christoph Sommer and Fiaschi, L. and Fred A. Hamprecht and Gerlich, D.}
}
@conference {Jancsary2012,
	title = {Loss-specific training of non-parametric image restoration models: A new state of the art},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7578 LNCS},
	number = {PART 7},
	year = {2012},
	pages = {112{\textendash}125},
	abstract = {After a decade of rapid progress in image denoising, recent methods seem to have reached a performance limit. Nonetheless, we find that state-of-the-art denoising methods are visually clearly distinguishable and possess complementary strengths and failure modes. Motivated by this observation, we introduce a powerful non-parametric image restoration framework based on Regression Tree Fields (RTF). Our restoration model is a densely-connected tractable conditional random field that leverages existing methods to produce an image-dependent, globally consistent prediction. We estimate the conditional structure and parameters of our model from training data so as to directly optimize for popular performance measures. In terms of peak signal-to-noise-ratio (PSNR), our model improves on the best published denoising method by at least 0.26dB across a range of noise levels. Our most practical variant still yields statistically significant improvements, yet is over 20x faster than the strongest competitor. Our approach is well-suited for many more image restoration and low-level vision problems, as evidenced by substantial gains in tasks such as removal of JPEG blocking artefacts. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642337857},
	issn = {03029743},
	doi = {10.1007/978-3-642-33786-4_9},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Carsten Rother}
}
@conference {Jancsary2012a,
	title = {Loss-specific training of non-parametric image restoration models: A new state of the art},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7578 LNCS},
	number = {PART 7},
	year = {2012},
	pages = {112{\textendash}125},
	abstract = {After a decade of rapid progress in image denoising, recent methods seem to have reached a performance limit. Nonetheless, we find that state-of-the-art denoising methods are visually clearly distinguishable and possess complementary strengths and failure modes. Motivated by this observation, we introduce a powerful non-parametric image restoration framework based on Regression Tree Fields (RTF). Our restoration model is a densely-connected tractable conditional random field that leverages existing methods to produce an image-dependent, globally consistent prediction. We estimate the conditional structure and parameters of our model from training data so as to directly optimize for popular performance measures. In terms of peak signal-to-noise-ratio (PSNR), our model improves on the best published denoising method by at least 0.26dB across a range of noise levels. Our most practical variant still yields statistically significant improvements, yet is over 20x faster than the strongest competitor. Our approach is well-suited for many more image restoration and low-level vision problems, as evidenced by substantial gains in tasks such as removal of JPEG blocking artefacts. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642337857},
	issn = {03029743},
	doi = {10.1007/978-3-642-33786-4_9},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Carsten Rother}
}
@conference {eigenstetter:ACCV:2012,
	title = {Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching},
	booktitle = {Proceedins of the Aian Conference on Computer Vision},
	year = {2012},
	pages = {152--163},
	publisher = {Springer},
	organization = {Springer},
	author = {Eigenstetter, A. and Yarlagadda, P. and Bj{\"o}rn Ommer}
}
@mastersthesis {eger2012,
	title = {Messung der Luftstr{\"o}mung {\"u}ber kleinskaligen Wasserwellen mittels Particle Streak Velocimetry in einem linearen Wind-Wellen-Kanal},
	year = {2012},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Philipp Eger}
}
@phdthesis {glas2012,
	title = {Methoden zur sechsdimensionalen Objektlageerkennung aus Tiefenbildern},
	year = {2012},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/13581},
	author = {Glas, Manuel}
}
@phdthesis {glas2012,
	title = {Methoden zur sechsdimensionalen Objektlageerkennung aus Tiefenbildern},
	volume = {Dissertation},
	year = {2012},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00013581},
	author = {Glas, Manuel}
}
@article {goldluecke_12_natural,
	title = {The Natural Vectorial Total Variation which Arises from Geometric
Measure Theory},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {5},
	year = {2012},
	note = {1},
	pages = {537-563},
	doi = {10.1137/110823766},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@article {GSC12:vtv,
	title = {The natural vectorial total variation which arises from geometric measure theory},
	journal = {SIAM Journal on Imaging Sciences},
	year = {2012},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@booklet {jaehne2012c,
	title = {Neuerungen zum EMVA Standard 1288, Der Release 3.1 des etablierten Standards zur Kameracharakterisierung},
	year = {2012},
	author = {Bernd J{\"a}hne}
}
@conference {Jancsary2012b,
	title = {Non-parametric crfs for image labeling},
	booktitle = {NIPS Workshop Modern Nonparametric Methods in Machine Learning},
	number = {2},
	year = {2012},
	pages = {1{\textendash}5},
	abstract = {We introduce a powerful non-parametric image labeling framework, Regression Tree Fields (RTFs), and discuss its application to image restoration. The conditional structure and the parameters of our model are estimated from training data so as to directly optimize for popular performance measures, resulting in excellent predictive performance at low computational cost.},
	url = {http://www.nowozin.net/sebastian/papers/jancsary2012nonparametriccrf.pdf},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Carsten Rother}
}
@phdthesis {voss2012,
	title = {Novel Single Camera Techniques for 3D3C Lagrangian Trajectory Measurements in Interfacial Flows},
	year = {2012},
	note = {started 01.02.2009},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/13362},
	author = {Bj{\"o}rn Voss}
}
@article {horvat_12_one,
	title = {One plus one makes three (for social networks)},
	journal = {PLoS ONE},
	volume = {4,7},
	year = {2012},
	doi = {10.1371/journal.pone.0034740},
	author = {Horvát, E.-Á. and Hanselmann, M. and Fred A. Hamprecht and K. A. Zweig}
}
@article {andres2012opengm,
	title = {OpenGM: A C++ Library for Discrete Graphical Models},
	journal = {ArXiv e-prints},
	year = {2012},
	note = {Projectpage: http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {Bj{\"o}rn Andres and Thorsten Beier and Kappes, J{\"o}rg H.}
}
@conference {mischler2012,
	title = {Optical measurements of bubbles and spray in wind/water facilities at high wind speeds},
	booktitle = {12th International Triennial Conference on Liquid Atomization and Spray Systems 2012, Heidelberg (ICLASS 2012)},
	year = {2012},
	abstract = {An optical imaging technique for the measurement of the size and velocity distribution of bubbles and droplets is presented. This method was used in a wind-wave tank at high wind-speeds to investigate bubble populations and spray generated by breaking water-waves. These measurements help to model bubble and spray induced gas exchange between atmosphere and ocean. The setup consists of a 2040  1088 CMOS-camera (Basler acA2000-340km, 5.5 mum pixel size), which is used in a telecentric bright-field setup. Thus bubbles or droplets between the light source and the camera become visible in the images as dark disks because of light scattering. For illumination, a single high-power LED (Cree XP-E) in a telecentric illumination system is used. This LED is operated in a pulsed mode with pulse lengths smaller than 2 mus. This is the effective exposure time. In order to acquire two images with a small temporal distance, the camera is set to maximal exposure time. The first image is recorded by flashing the LED at the end of the first exposure and the second image by flashing at the beginning of the second exposure. The effective time difference of consecutive exposures was between 1 mus and twice the exposure time of the camera. The telecentricity (only rays parallel to the optical axis contribute to the images) of the optics reduces the error of the size estimation of the bubbles/droplets. In addition the position along the optical axis can be estimated by a depth from defocus method. With this information it is also possible to determine the measuring volume to estimate the bubble/spray-number density. The size range of this technique is determined by the pixel and sensor size and by the resolution of the lens. Here, a lens with a working distance of 135 mm and a magnification of 0.37 is used, so that one pixel corresponds to 15 mum in object space. With this setup a radius range of 40 mum - 5000 mum can be imaged. The main source for the error of the radius is the blurring of the edges due to defocus. Therefore the accuracy depends on the quality of telecentricity and complexity of image processing. For bubbles with a radius larger than 10 px the error is below 1 \% when using simple image processing. This error can be reduced significantly by using elaborate image processing, which is also able to detect bubbles as small as 3 px in size. Different image processing algorithms for spherical objects are presented and investigated regarding accuracy. Bubbles or droplets which show deviation from sphere shape introduce problems for the image processing. For bubbles in still water, such deviations are typically found for radii of greater than 500 mum. Capabilities and limits of the technique are addressed on the example of two experiments. Test measurements were conducted at the high wind speed wind-wave tank in Kyoto, Japan at a wind speed of 42 m/s. This experiment showed that distributions of bubbles can be measured at high wind speeds with no problems in regions, which are not near to the water surface (> 2 cm). For regions close to the interface the image processing algorithms need to be adjusted, since portions of the illumination can be occluded by waves. It is shown with an experiment in the small linear wind/wave facility in Heidelberg, that this technique also works for spray measurements. Systematic measurements of spray could not be conducted in Kyoto, since the walls of the tank were covered by a thin film of water caused by the spray, which heavily disturbed the optical path.},
	doi = {10.5281/zenodo.10957},
	author = {Wolfgang Mischler and Bernd J{\"a}hne}
}
@article {jaehne2012b,
	title = {Optik, Photonik und Bildverarbeitung --- eine spannende Reise},
	journal = {Optik \& Photonik},
	volume = {7},
	number = {1},
	year = {2012},
	pages = {2--3},
	doi = {10.1002/opph.201290010},
	author = {Bernd J{\"a}hne}
}
@conference {atif2012,
	title = {Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {23--34},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Atif, Muhammad and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {erz2012,
	title = {Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {35--46},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@article {Lellmann-et-al-12,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47},
	number = {3},
	year = {2012},
	pages = {239-257},
	publisher = {Springer},
	issn = {0924-9907},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr}
}
@article {Lellmann-et-al-12,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47},
	number = {3},
	year = {2012},
	pages = {239-257},
	publisher = {Springer},
	issn = {0924-9907},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@article {meister_12_outdoor,
	title = {Outdoor Stereo Camera System for the Generation of Real-World Benchmark
Data Sets},
	journal = {Optical Engineering},
	volume = {51},
	year = {2012},
	pages = {021107-1},
	doi = {10.1117/1.OE.51.2.021107},
	author = {Stephan Meister and Bernd J{\"a}hne and Daniel Kondermann}
}
@article {meister2012,
	title = {Outdoor stereo camera system for the generation of real-world benchmark data sets},
	journal = {Opt. Eng.},
	volume = {51},
	year = {2012},
	pages = {021107},
	doi = {10.1117/1.OE.51.2.021107},
	author = {Stephan Meister and Bernd J{\"a}hne and Daniel Kondermann}
}
@article {renard_12_overcoming,
	title = {Overcoming species boundaries in peptide identification with BICEPS},
	journal = {Molecular and Cellular Proteomics},
	volume = {11},
	year = {2012},
	doi = {10.1074/mcp.M111.014167},
	author = {B. Y. Renard and Xu, B. and Kirchner, M. and Zickmann, F. and Winter, D. and Korten, S. and Brattig, N. and Tzur, A. and Fred A. Hamprecht and Steen, H.}
}
@conference {kraeuter2012,
	title = {Partitioning of the Trasfer Resistance between Air and Water},
	booktitle = {SOLAS Open Science Conference, Washington State, USA},
	year = {2012},
	doi = {10.5281/zenodo.12328},
	author = {Christine Kr{\"a}uter and Kerstin E. Richter and Evridiki Mesarchaki and Roland Rocholz and Jonathan Williams and Bernd J{\"a}hne}
}
@conference {kondermann_12_on,
	title = {On Performance Analysis of Optical Flow Algorithms},
	booktitle = {Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop
2011},
	volume = {LNCS},
	number = {7474},
	year = {2012},
	pages = {329-355},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-34091-8_15},
	author = {Daniel Kondermann and Steffen Abraham and W. F{\"o}rstner and Gehrig, S. and Imiya, A. and Bernd J{\"a}hne and Klose, F. and Magor, M. and Helmut Mayer and Mester, R. and Pajdla, T. and Reulke, R. and Zimmer, H.}
}
@conference {jaehne2012k,
	title = {Plenoptic image acquisition and processing},
	booktitle = {Proc.\ Int. Symp. Microoptical Imaging and Projection (MIPS2012)},
	year = {2012},
	pages = {87--89},
	doi = {10.5281/zenodo.10950},
	author = {Bernd J{\"a}hne}
}
@incollection {garbe2012,
	title = {Plenoptic Particle Streak Velocimetry (pPSV): 3D3C fluid flow measurement from light fields with a single plenoptic camera},
	year = {2012},
	pages = {1-12},
	publisher = {Instituto Superior T{\'e}cnico},
	author = {Christoph S. Garbe and Bj{\"o}rn Voss and Julian Stapf}
}
@article {lou_12_quality,
	title = {Quality Classification of Microscopic Imagery with Weakly Supervised Learning},
	journal = {MICCAI-MLMI. Proceedings},
	year = {2012},
	note = {1},
	pages = {176-183},
	doi = {10.1007/978-3-642-35428-1_22},
	author = {Lou, X. and Fiaschi, L. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Jancsary2012c,
	title = {Regression Tree Fields An efficient, non-parametric approach to image labeling problems},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2012},
	pages = {2376{\textendash}2383},
	abstract = {We introduce Regression Tree Fields (RTFs), a fully conditional random field model for image labeling problems. RTFs gain their expressive power from the use of non-parametric regression trees that specify a tractable Gaussian random field, thereby ensuring globally consistent predictions. Our approach improves on the recently introduced decision tree field (DTF) model [14] in three key ways: (i) RTFs have tractable test-time inference, making efficient optimal predictions feasible and orders of magnitude faster than for DTFs, (ii) RTFs can be applied to both discrete and continuous vector-valued labeling tasks, and (Hi) the entire model, including the structure of the regression trees and energy function parameters, can be efficiently and jointly learned from training data. We demonstrate the expressive power and flexibility of the RTF model on a wide variety of tasks, including inpainting, colorization, denoising, and joint detection and registration. We achieve excellent predictive performance which is on par with, or even surpassing, DTFs on all tasks where a comparison is possible. {\textcopyright} 2012 IEEE.},
	isbn = {9781467312264},
	issn = {10636919},
	doi = {10.1109/CVPR.2012.6247950},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Sharp, Toby and Carsten Rother}
}
@conference {Jancsary2012d,
	title = {Regression Tree Fields An efficient, non-parametric approach to image labeling problems},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2012},
	pages = {2376{\textendash}2383},
	abstract = {We introduce Regression Tree Fields (RTFs), a fully conditional random field model for image labeling problems. RTFs gain their expressive power from the use of non-parametric regression trees that specify a tractable Gaussian random field, thereby ensuring globally consistent predictions. Our approach improves on the recently introduced decision tree field (DTF) model [14] in three key ways: (i) RTFs have tractable test-time inference, making efficient optimal predictions feasible and orders of magnitude faster than for DTFs, (ii) RTFs can be applied to both discrete and continuous vector-valued labeling tasks, and (Hi) the entire model, including the structure of the regression trees and energy function parameters, can be efficiently and jointly learned from training data. We demonstrate the expressive power and flexibility of the RTF model on a wide variety of tasks, including inpainting, colorization, denoising, and joint detection and registration. We achieve excellent predictive performance which is on par with, or even surpassing, DTFs on all tasks where a comparison is possible. {\textcopyright} 2012 IEEE.},
	isbn = {9781467312264},
	issn = {10636919},
	doi = {10.1109/CVPR.2012.6247950},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Sharp, Toby and Carsten Rother}
}
@article {alvarez_12_road,
	title = {Road Geometry Classification by Adaptive Shape Models},
	journal = {IEEE Transactions on Intelligent Transportation Systems (ITS)},
	volume = {99},
	year = {2012},
	pages = {1-10},
	doi = {10.1109/TITS.2012.2221088},
	author = {Álvarez, J. M. and Gevers, T. and Ferran Diego and López, A. M.}
}
@conference {antic:ACCV:2012,
	title = {Robust Multiple-Instance Learning with Superbags},
	booktitle = {Proceedings of the Aian Conference on Computer Vision (ACCV) (Oral)},
	year = {2012},
	pages = {242--255},
	publisher = {Springer},
	organization = {Springer},
	author = {Antic, B. and Bj{\"o}rn Ommer}
}
@conference {geese2012a,
	title = {Scene based maximum likelihood PRNU and DSNU non uniformity correction},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {71--82},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Geese, Marc and Paul Ruhnau and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {richter2012,
	title = {The Schmidt Number Dependency of Air-Sea Gas Exchange with Varying Surfactant Coverage},
	booktitle = {SOLAS Open Science Conference, Washington State, USA},
	year = {2012},
	author = {Kerstin E. Richter and Roland Rocholz and Bernd J{\"a}hne}
}
@conference {straehle_12_seeded,
	title = {Seeded watershed cut uncertainty estimators for guided interactive segmentation},
	booktitle = {CVPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {765 - 772},
	doi = {10.1109/CVPR.2012.6247747},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Briggman, K. and Denk, W. and Fred A. Hamprecht}
}
@conference {monroy:ECCV:2012,
	title = {Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions},
	booktitle = {Proceedings of the European Conference on Computer Vision, Workshop on VISART},
	volume = {7583},
	year = {2012},
	pages = {571--580},
	publisher = {Springer},
	organization = {Springer},
	author = {Monroy, A. and Bell, P. and Bj{\"o}rn Ommer}
}
@conference {wanner_12_spatial,
	title = {Spatial and Angular Variational Superresolution of 4D Light Fields},
	booktitle = {ECCV 2012. Proceedings, Part 5},
	volume = {7576},
	year = {2012},
	note = {1},
	pages = {608-621},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-33715-4_44},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@conference {WG12:eccv,
	title = {Spatial and Angular Variational Super-Resolution of 4D Light Fields},
	booktitle = {European Conference on Computer Vision (ECCV)},
	year = {2012},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@techreport {lin2012a,
	title = {Structure Tensor Calculation Using FPGA},
	year = {2012},
	institution = {HCI Heidelberg},
	author = {Zhuang Lin}
}
@article {lou_12_structured,
	title = {Structured Learning from Partial Annotations},
	journal = {ICML 2012. Proceedings},
	year = {2012},
	note = {1},
	url = {http://icml.cc/discuss/2012/753.html},
	author = {Lou, X. and Fred A. Hamprecht}
}
@article {Kohli2012,
	title = {User-centric learning and evaluation of interactive segmentation systems},
	journal = {International Journal of Computer Vision},
	volume = {100},
	number = {3},
	year = {2012},
	month = {dec},
	pages = {261{\textendash}274},
	abstract = {Many successful applications of computer vision to image or video manipulation are interactive by nature. However, parameters of such systems are often trained neglecting the user. Traditionally, interactive systems have been treated in the same manner as their fully automatic counterparts. Their performance is evaluated by computing the accuracy of their solutions under some fixed set of user interactions. In this paper, we study the problem of evaluating and learning interactive segmentation systems which are extensively used in the real world. The key questions in this context are how to measure (1) the effort associated with a user interaction, and (2) the quality of the segmentation result as perceived by the user. We conduct a user study to analyze user behavior and answer these questions. Using the insights obtained from these experiments, we propose a framework to evaluate and learn interactive segmentation systems which brings the user in the loop. The framework is based on the use of an active robot user-a simulated model of a human user. We show how this approach can be used to evaluate and learn parameters of state-of-the-art interactive segmentation systems. We also show how simulated user models can be integrated into the popular max-margin method for parameter learning and propose an algorithm to solve the resulting optimisation problem. {\textcopyright} 2012 The Author(s).},
	keywords = {Image segmentation, Interactive systems, Learning},
	issn = {09205691},
	doi = {10.1007/s11263-012-0537-4},
	author = {Kohli, Pushmeet and Nickisch, Hannes and Carsten Rother and Rhemann, Christoph}
}
@article {Becker-et-al-11b,
	title = {Variational Adaptive Correlation Method for Flow Estimation},
	journal = {IEEE Transactions on Image Processing},
	volume = {21},
	number = {6},
	year = {2012},
	pages = {3053 -- 3065},
	doi = {10.1109/TIP.2011.2181524},
	author = {Florian Becker and Wieneke, Bernhard and Stefania Petra and Schr{\"o}der, Andreas and Christoph Schn{\"o}rr}
}
@article {Becker-et-al-11b,
	title = {Variational Adaptive Correlation Method for Flow Estimation},
	journal = {IEEE Transactions on Image Processing},
	volume = {21},
	number = {6},
	year = {2012},
	month = {June},
	pages = {3053 {\textendash} 3065},
	doi = {10.1109/TIP.2011.2181524},
	author = {Florian Becker and Wieneke, Bernhard and Petra, Stefania and Schr{\"o}der, Andreas and Christoph Schn{\"o}rr}
}
@conference {Lenzen-et-al-11,
	title = {Variational Image Denoising with Adaptive Constraint Sets},
	booktitle = {LNCS},
	year = {2012},
	pages = {206-217},
	publisher = {Springer},
	organization = {Springer},
	author = {Frank Lenzen and Florian Becker and Lellmann, Jan and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {Lenzen-et-al-11,
	title = {Variational Image Denoising with Adaptive Constraint Sets},
	booktitle = {Proceedings of the 3rd International Conference on Scale Space and Variational Methods in Computer Vision 2011},
	year = {2012},
	pages = {206-217},
	publisher = {Springer},
	organization = {Springer},
	author = {Lenzen, Frank and Florian Becker and Lellmann, Jan and Petra, Stefania and Christoph Schn{\"o}rr}
}
@conference {Mansfield2012,
	title = {Visibility maps for improving seam carving},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6554 LNCS},
	number = {PART 2},
	year = {2012},
	pages = {131{\textendash}144},
	abstract = {In this paper, we present a new, improved seam carving algorithm. Seam carving efficiently removes pixels from an image to produce a retargeted image. It has proved popular with users and has been used as a component in many retargeting algorithms. We introduce the visibility map, a new framework for pixel removing image editing methods. This allows us to cast retargeting as a binary graph labelling problem. We derive a general algorithm which uses seam carving operations for efficient greedy optimization of a well defined energy, and compare this with forward energy seam carving and shift map image editing. We test this method with varying parameters on a large number of images, and present an improved seam carving algorithm which can demonstrably produce better results. We draw general conclusions about pixel removing methods for retargeting and motivate future directions of research. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642357398},
	issn = {03029743},
	doi = {10.1007/978-3-642-35740-4_11},
	url = {http://www.adobe.com/products/photoshop/photoshopextended/features/},
	author = {Mansfield, Alex and Gehler, Peter and Van Gool, Luc and Carsten Rother}
}
@conference {eigenstetter:NIPS:2012,
	title = {Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity},
	booktitle = {Proceedings of the Conference on Advances in Neural Information Processing Systems},
	year = {2012},
	pages = {377--385},
	publisher = {MIT Press},
	organization = {MIT Press},
	author = {Eigenstetter, A. and Bj{\"o}rn Ommer}
}
@conference {kiefhaber2012,
	title = {Water Surface Topography Measurements with the Reflective Stereo Slope Gauge},
	booktitle = {AGU Ocean Science Meeting 2012, Salt Lake City},
	year = {2012},
	doi = {10.5281/zenodo.12333},
	author = {Daniel Kiefhaber and Julia Schaper and Roland Rocholz and Christopher J. Zappa and William E. Asher and Jessup, A.T. and Bernd J{\"a}hne}
}
@conference {SchmitzerSchnoerr-SSVM2011,
	title = {Weakly Convex Coupling Continuous Cuts and Shape Priors},
	booktitle = {Scale Space and Variational Methods (SSVM 2011)},
	year = {2012},
	pages = {423-434},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {Meister2012,
	title = {When can we use KinectFusion for ground truth acquisition?},
	journal = {Proc Workshop on \ldots},
	year = {2012},
	pages = {3{\textendash}8},
	abstract = {Abstract{\textemdash}KinectFusion is a method for real-time capture of dense 3D geometry of the physical environment using a depth sensor. The system allows capture of a large dataset of 3D scene reconstructions at very low cost. In this paper we discuss the properties of the ...$\backslash$n},
	url = {http://meshlab.sourceforge.net/ http://www.msr-waypoint.net/en-us/um/people/pkohli/papers/mikhrk_iros_dataset_2012.pdf\%5Cnpapers3://publication/uuid/2615CF9D-C632-4E39-B1C4-B32A4A5D339C},
	author = {Meister, Stephan and Izadi, Shahram and Kohli, Pushmeet and M H{\"a}mmerle}
}
@conference {meister_12_when,
	title = {When Can We Use KinectFusion for Ground Truth Acquisition?},
	booktitle = {Workshop on Color-Depth Camera Fusion in Robotics, IEEE International
Conference on Intelligent Robots and Systems},
	year = {2012},
	note = {1},
	author = {Stephan Meister and Izadi, S. and Kohli, P. and H{\"a}mmerle, M. and Carsten Rother and Daniel Kondermann}
}
@article {horvat_12_you,
	title = {You Are Who Knows You: Predicting Links Between Non-Members of Facebook},
	journal = {European Conference on Complex Systems. Proceedings},
	volume = {3},
	year = {2012},
	note = {1},
	pages = {309-315},
	doi = {10.1007/978-3-319-00395-5_41},
	author = {Horvát, E.-Á. and Hanselmann, M. and Fred A. Hamprecht and K. A. Zweig}
}
@mastersthesis {horn2011,
	year = {2011},
	note = {started 15.05.2010},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Alexander Horn}
}
@mastersthesis {kimmich2011,
	year = {2011},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Kimmich, Dominikus}
}
@conference {schimpf2011b,
	title = {The 2009 SOPRAN active thermography pilot experiment in the Baltic Sea},
	booktitle = {Gas Transfer at Water Surfaces 2010},
	year = {2011},
	pages = {358--367},
	doi = {10.5281/zenodo.14956},
	url = {http://hdl.handle.net/2433/156156},
	author = {Uwe Schimpf and Leila Nagel and Bernd J{\"a}hne},
	editor = {S. Komori and W. R. McGilles and R. Kurose}
}
@booklet {kondermann2011,
	title = {Alles im Fluss --- Optischer Fluss f{\"u}r industrielle Anwendungen},
	year = {2011},
	url = {http://www.gitverlag.com/de/print/4/18/issues/2009/3381.html},
	author = {Daniel Kondermann}
}
@phdthesis {schmidt2011,
	title = {Analysis, Modeling and Dynamic Optimization of 3D Time-of-Flight Imaging Systems},
	volume = {Dissertation},
	year = {2011},
	note = {started 01.07.2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	abstract = {(Kurzfassung) Die vorliegende Arbeit befasst sich mit der Optimierung von 3D-Laufzeitkamerasystemen. Diese neuartigen Kameras erfassen Entfernungsbilder, indem sie die beobachtete Szene aktiv beleuchten und die Laufzeit (Time-of-Flight, ToF) des r{\"u}ckgestreuten Lichtes bestimmen. Dabei werden Tiefenbilder aus mehreren Rohbildern konstruiert, wobei typischerweise zwei dieser Bilder simultan mit Hilfe spezieller korrelierender Sensoren aufgenommen werden. Der wissenschaftliche Beitrag dieser Arbeit setzt sich aus vier Entwicklungen zusammen: Pr{\"a}sentiert wird ein physikalisches Sensor-Modell, welches eine Analyse und Optimierung des Prozesses der Rohbildaufnahme erm{\"o}glicht. Hierauf gest{\"u}tzt wird ein auf einer logarithmischen Kennlinie beruhendes ToF Sensor-Design vorgeschlagen. Aufgrund von Asymmetrien der beiden parallelen Auslesestufen des Sensors ist gegenw{\"a}rtig eine mehrfache Akquisition der Rohbilder notwendig. Dies erm{\"o}glicht eine Korrektur systematischer Fehler. Die vorliegende Arbeit pr{\"a}sentiert eine Methode zur dynamischen Kalibrierung und Kompensation dieser Asymmetrien. Sie erlaubt die Erzeugung von zwei Tiefenkarten aus den urspr{\"u}nglichen Rohdaten (eines Tiefenbildes), und bewirkt so eine Verdopplung der Bildwiederholrate. Da mehrere zu unterschiedlichen Zeiten aufgenommene Rohbilder zu einem einzigen Tiefenbild kombiniert werden, treten bei der Abbildung dynamischer Szenerien Bewegungsartefakte auf. Diese Arbeit stellt eine neue, einfache und robuste Methode zur Detektion und Korrektur solcher Artefakte vor. Die in dieser Arbeit pr{\"a}sentierten Algorithmen besitzen eine Berechnungskomplexit{\"a}t, die auch auf Systemen mit limitierten Ressourcen (z.B.~eingebetteten Systemen) eine Ausf{\"u}hrung in Echtzeit erlaubt. Die Algorithmen werden unter Nutzung eines kommerziellen ToF Systems demonstriert. (Abstract) The present thesis is concerned with the optimization of 3D Time-of-Flight (ToF) imaging systems. These novel cameras determine range images by actively illuminating a scene and measuring the time until the backscattered light is detected. Depth maps are constructed from multiple raw images. Usually two of such raw images are acquired simultaneously using special correlating sensors. This thesis covers four main contributions: A physical sensor model is presented which enables the analysis and optimization of the process of raw image acquisition. This model supports the proposal of a new ToF sensor design which employs a logarithmic photo response. Due to asymmetries of the two read-out paths current systems need to acquire the raw images in multiple instances. This allows the correction of systematic errors. The present thesis proposes a method for dynamic calibration and compensation of these asymmetries. It facilitates the computation of two depth maps from a single set of raw images and thus increases the frame rate by a factor of two. Since not all required raw images are captured simultaneously motion artifacts can occur. The present thesis proposes a robust method for detection and correction of such artifacts. All proposed algorithms have a computational complexity which allows real-time execution even on systems with limited resources (e.g.~embedded systems). The algorithms are demonstrated by use of a commercial ToF camera.},
	url = {http://www.ub.uni-heidelberg.de/archiv/12297},
	author = {Schmidt, Mirko}
}
@techreport {Jehle2011,
	title = {Applying Variable Selection to Illumination-Series Data using the Ilastik Tool},
	year = {2011},
	institution = {Heidelberg Collaboratory for Image Processing, University of Heidelberg},
	author = {Markus Jehle}
}
@mastersthesis {eisenhauer2011,
	title = {Aufbau eines Messsystems zur Amplitudenmessung von Schwerewellen im Aeolotron},
	year = {2011},
	note = {started 11.04.2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {David Eisenhauer}
}
@mastersthesis {kraeuter2011a,
	title = {Aufteilung des Transferwiderstands zwischen Luft und Wasser beim Austausch fl{\"u}chtiger Substanzen mittlerer L{\"o}slichkeit zwischen Ozean und Atmosph{\"a}re},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {The main focus of this thesis is the investigation of the air-water exchange of volatile tracers of medium solubility. The transfer resistances of tracers with a broad spectrum of solubilities were measured in experiments at the Aeolotron wind-wave facility. The dependence of transfer resistances on friction velocity and mean square slope is studied for both clean water and water with an added surfactant. It becomes clear that neither friction velocity nor mean square slope alone can be used to describe gas exchange for both cases. In addition Schmidt number scaling for tracers with medium solubility was investigated. Schmidt number scaling is a common method to compute the transfer resistance of a tracer using another one. This requires that the air-side or water-side transfer resistance are negligible. This is not the case for tracers with medium solubility. Here an extended Schmidt number scaling method is tested experimentally for the first time. The air-sided resistance is determined by the Schmidt number scaling with a very well soluble reference-tracer (Methanol, alpha = 5470). Accordingly the water-sided resistance is calculated with a water-sided controlled reference-tracer (N2O, alpha = 0.6). The total resistance is obtained using both parts of the resistance and the partitioning equation of Liss and Slater (1974). The comparison of computed and measured resistances shows good agreement. Finally, a simple function to empirically describe the ratio of air-sided to total resistance in dependence of friction velocity and solubility is presented.},
	url = {http://www.ub.uni-heidelberg.de/archiv/13010},
	author = {Christine Kr{\"a}uter}
}
@article {kreshuk_11_automated2,
	title = {Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images},
	journal = {PLoS ONE},
	volume = {6 (10)},
	year = {2011},
	doi = {10.1371/journal.pone.0024899},
	author = {Anna Kreshuk and Christoph N. Straehle and Christoph Sommer and Ullrich K{\"o}the and Cantoni, M. and G. W. Knott and Fred A. Hamprecht}
}
@phdthesis {andres_11_automated,
	title = {Automated Segmentation of Large 3D Images of Nervous Systems Using a Higher-order Graphical Model},
	year = {2011},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Bj{\"o}rn Andres}
}
@conference {kreshuk_11_automated,
	title = {Automated Segmentation of Synapses in 3D EM Data},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).
Proceedings},
	year = {2011},
	note = {1},
	pages = {220-223},
	doi = {10.1109/ISBI.2011.5872392},
	author = {Anna Kreshuk and Christoph N. Straehle and Christoph Sommer and Ullrich K{\"o}the and G. W. Knott and Fred A. Hamprecht}
}
@mastersthesis {weissbach2011,
	title = {Bestimmung der Transfergeschwindigkeit bei blaseninduziertem Gasaustausch},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Therese Wei{\ss}bach}
}
@conference {monroy:ICIP:2011,
	title = {Beyond Straight Lines - Object Detection using Curvature},
	booktitle = {International Conference on Image Processing (ICIP)},
	year = {2011},
	publisher = {IEEE},
	organization = {IEEE},
	doi = {10.1109/ICIP.2011.6116485},
	author = {Monroy, A. and Eigenstetter, A. and Bj{\"o}rn Ommer}
}
@mastersthesis {heck2011,
	title = {Bildverarbeitendes Verfahren zur Detektion und Vermessung von Luftblasen an der Wasseroberfl{\"a}che eines Blasentanks},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Heiko Heck}
}
@phdthesis {lou_11_biomedical,
	title = {Biomedical Data Analysis with Prior Knowledge: Modeling and Learning},
	year = {2011},
	publisher = {University of Heidelberg},
	author = {Lou, X.}
}
@booklet {jaehne2011a,
	title = {Bringing the ocean inside the lab, image processing in environmental sciences},
	year = {2011},
	url = {www.laborundmore.de/},
	author = {Bernd J{\"a}hne}
}
@conference {straehle_11_carving,
	title = {Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images},
	booktitle = {MICCAI 2011, Proceedings.},
	volume = {6891},
	year = {2011},
	note = {1},
	pages = {653-660},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23623-5_82},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and G. W. Knott and Fred A. Hamprecht}
}
@phdthesis {erz2011,
	title = {Charakterisierung von Laufzeitkamerasystemen f{\"u}r Lumineszenzlebensdauermessungen},
	volume = {Dissertation},
	year = {2011},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/11598},
	author = {Michael Erz}
}
@conference {rocholz2011a,
	title = {Combined visualization of wind waves and water surface temperature},
	booktitle = {Gas Transfer at Water Surfaces 2010},
	year = {2011},
	pages = {496--506},
	doi = {10.5281/zenodo.14957},
	url = {http://hdl.handle.net/2433/156156},
	author = {Roland Rocholz and Sven Wanner and Uwe Schimpf and Bernd J{\"a}hne},
	editor = {S. Komori and W. R. McGilles and R. Kurose}
}
@conference {kraeuter2011,
	title = {A comparative lab study of tansfer velocities of volatile tracers with widely varying solubilities},
	booktitle = {DPG Fr{\"u}hjahrstagung Dresden, Fachverband Umweltphysik},
	year = {2011},
	abstract = {Die L{\"o}slichkeit einer fl{\"u}chtigen Substanz in Wasser hat einen entscheidenden Einfluss auf den Gasaustausch zwischen Ozean und Atmosph{\"a}re. Bei Stoffen mit einer sehr hohen L{\"o}slichkeit wird der Austausch durch Diffusion in der luftseitigen Grenzschicht kontrolliert und bei solchen mit einer sehr niedrigen L{\"o}slichkeit von der wasserseitigen Grenzschicht. Bei vielen umweltrelevanten Stoffen (z.B. Aceton, Acetaldehyd, Acetonitril) ist es aber ein Wechselspiel von beiden Prozessen. Die Kombination der Prozesse ist bisher experimentell nicht untersucht worden und es gibt nur einfache Modelle, welche die Intermittenz der Prozesse ber{\"u}cksichtigen. In einem ersten Laborexperiment am Aeolotron, einem ringf{\"o}rmigen Wind-Wellen-Kanal, wurden die Transferwiderst{\"a}nde vieler Gase mit unterschiedlichen L{\"o}slichkeiten bei verschiedenen Windgeschwindigkeiten (1,4 m/s bis 8,4 m/s) bestimmt. Die dimensionslosen L{\"o}slichkeiten der verwendeten Gase deckten einen Bereich von 5 Gr{\"o}{\ss}enordnungen ab. Die Gaskonzentrationen wurden durch FTIR-Spektroskopie (Fourier Transform Infrared Spectroscopy) und mit einem PTR-MS (Proton Transfer Reaction - Mass Spectrometer) gemessen. Die Partitionierung des Transferwiderstandes von Gasen mittlerer L{\"o}slichkeit in einen luftseitigen und wasserseitigen Teil konnte nachgewiesen werden.},
	doi = {10.5281/zenodo.12327},
	url = {http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/1/contribution/29},
	author = {Christine Kr{\"a}uter and Kerstin E. Richter and Bernd J{\"a}hne and Evridiki Mesarchaki and Jonathan Williams}
}
@conference {kaster_11_comparative,
	title = {Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations},
	booktitle = {LNCS},
	volume = {LNCS 6533},
	year = {2011},
	note = {1},
	pages = {74-85},
	publisher = {Springer, Heidelberg},
	organization = {Springer, Heidelberg},
	doi = {10.1007/978-3-642-18421-5_8},
	author = {F. O. Kaster and M.-A. Weber and Fred A. Hamprecht},
	editor = {Bjoern H. Menze and Bjoern H. Menze and Langs, G. and Criminisi, A. and Tu, Z.}
}
@article {Lellmann-Schnoerr-SIIMS-11,
	title = {Continuous Multiclass Labeling Approaches and Algorithms},
	journal = {SIAM J.~Imag.~Sci.},
	volume = {4},
	number = {4},
	year = {2011},
	pages = {1049-1096},
	author = {Lellmann, J. and Christoph Schn{\"o}rr}
}
@article {Lellmann2011corr,
	title = {Continuous Multiclass Labeling Approaches and Algorithms},
	journal = {CoRR},
	volume = {abs/1102.5448},
	year = {2011},
	url = {http://arxiv.org/abs/1102.5448},
	author = {Lellmann, J. and Schn{\"o}rr, C.}
}
@conference {schlecht:BMVC:2011,
	title = {Contour-based Object Detection},
	booktitle = {BMVC},
	year = {2011},
	pages = {1--9},
	author = {Schlecht, J. and Bj{\"o}rn Ommer}
}
@conference {Nowozin2011a,
	title = {Decision tree fields},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2011},
	pages = {1668{\textendash}1675},
	abstract = {This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fields (CRF) which have been widely used in computer vision. In a typical CRF model the unary potentials are derived from sophisticated random forest or boosting based classifiers, however, the pairwise potentials are assumed to (1) have a simple parametric form with a pre-specified and fixed dependence on the image data, and (2) to be defined on the basis of a small and fixed neighborhood. In contrast, in DTF, local interactions between multiple variables are determined by means of decision trees evaluated on the image data, allowing the interactions to be adapted to the image content. This results in powerful graphical models which are able to represent complex label structure. Our key technical contribution is to show that the DTF model can be trained efficiently and jointly using a convex approximate likelihood function, enabling us to learn over a million free model parameters. We show experimentally that for applications which have a rich and complex label structure, our model achieves excellent results. {\textcopyright} 2011 IEEE.},
	isbn = {9781457711015},
	doi = {10.1109/ICCV.2011.6126429},
	author = {Nowozin, Sebastian and Carsten Rother and Bagon, Shai and Sharp, Toby and Yao, Bangpeng and Kohli, Pushmeet}
}
@conference {lou_11_deltr,
	title = {DELTR: Digital Embryo Lineage Tree Reconstructor},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings},
	year = {2011},
	note = {1},
	pages = {1557-1560},
	doi = {10.1109/ISBI.2011.5872698},
	author = {Lou, X. and F. O. Kaster and Lindner, M. and Bernhard X. Kausler and Ullrich K{\"o}the and H{\"o}ckendorf, B. and Wittbrodt, J. and J{\"a}nicke, H. and Fred A. Hamprecht}
}
@conference {lenzen_11_denoising,
	title = {Denoising Time-Of-Flight Data with Adaptive Total Variation},
	booktitle = {Proceedings ISVC},
	year = {2011},
	note = {1},
	pages = {337-346},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-24028-7_31},
	author = {Frank Lenzen and Sch{\"a}fer, H. and Christoph S. Garbe}
}
@booklet {jaehne2011,
	title = {Der Ozean im Labor, Bildverarbeitung in den Umweltwissenschaften},
	year = {2011},
	url = {www.laborundmore.de/},
	author = {Bernd J{\"a}hne}
}
@booklet {jaehne2011c,
	title = {Der Standard 1288 der European Machine Vision Association (EMVA 1288): Was macht die Qualit{\"a}t aus?},
	year = {2011},
	url = {http://www.qe-online.de/home},
	author = {Bernd J{\"a}hne}
}
@booklet {jaehne2011b,
	title = {Der Standard EMVA 1288: Objektive Charakterisierung von Bildsensoren und digitalen Kameras},
	year = {2011},
	url = {www.elektroniknet.de},
	author = {Bernd J{\"a}hne}
}
@conference {schlecht:ICIP:2011,
	title = {Detecting Gestures in Medieval Images},
	booktitle = {Proceedings of the International Conference on Image Processing},
	year = {2011},
	pages = {1309--1312},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Schlecht, J. and Bernd Carque and Bj{\"o}rn Ommer}
}
@conference {schmidt2011b,
	title = {Efficient and robust reduction of motion artifacts for 3D time-of-flight cameras},
	booktitle = {International Conference on 3D Imaging 2011, Li{\`e}ge, Belgium},
	year = {2011},
	doi = {10.1109/IC3D.2011.6584391},
	author = {Schmidt, Mirco and Bernd J{\"a}hne}
}
@mastersthesis {kimmich_11_automatisches,
	title = {Ein automatisches Lichtfeld-basiertes Inspektionsverfahren f\FCr Elektronikstecker},
	year = {2011},
	school = {University of Heidelberg},
	author = {Kimmich, D.}
}
@mastersthesis {horn_11_entwicklung,
	title = {Entwicklung eines bildgebenden Systems zur Aufnahme 6-dimensionaler
Lichtfelder},
	year = {2011},
	school = {University of Heidelberg},
	author = {Alexander Horn}
}
@conference {schmidt_11_evaluation,
	title = {Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy
Minimization},
	booktitle = {EMMCVPR 2011},
	volume = {6819},
	year = {2011},
	note = {1},
	pages = {89-103},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23094-3_7},
	author = {Schmidt, S. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Schmidt11,
	title = {Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization},
	booktitle = {EMMCVPR},
	volume = {6819},
	year = {2011},
	pages = {89-103},
	publisher = {Springer},
	organization = {Springer},
	author = {Schmidt, Stefan and Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Schmidt11,
	title = {Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization},
	booktitle = {EMMCVPR},
	series = {LNCS},
	volume = {6819},
	year = {2011},
	pages = {89-103},
	publisher = {Springer},
	organization = {Springer},
	author = {Stefan Schmidt and Bogdan Savchynskyy and J{\"o}rg Hendrik Kappes and Christoph Schn{\"o}rr}
}
@conference {mischler2011,
	title = {Experimental setup for the investigation of bubble mediated gas exchange},
	booktitle = {Gas Transfer at Water Surfaces 2010},
	year = {2011},
	pages = {238--248},
	doi = {10.5281/zenodo.14953},
	url = {http://hdl.handle.net/2433/156156},
	author = {Wolfgang Mischler and Roland Rocholz and Bernd J{\"a}hne},
	editor = {S. Komori and W. R. McGilles and R. Kurose}
}
@phdthesis {winter2011,
	title = {Fluorescent Tracers for air-sided Concentration Profile Measurements at the Air-Water Interface},
	volume = {Dissertation},
	year = {2011},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/12105},
	author = {Rene Winter}
}
@mastersthesis {becker_11_framework,
	title = {Framework for 3D Reconstruction and Camera Motion. Estimation from
Multiple Camera Views},
	year = {2011},
	note = {1},
	school = {University of Heidelberg},
	author = {Becker, M.}
}
@conference {wanner_11_framework,
	title = {A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	note = {1},
	pages = {199-206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Eisert, P. and Joachim Hornegger and Konrad Polthier}
}
@conference {wanner2011,
	title = {A framework for interactive visualization and classification of dynamical processes at the water surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	pages = {199--206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Jung, M. and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier}
}
@article {roeder_11_gaussian,
	title = {Gaussian process classification: singly versus doubly stochastic models, and new computational schemes},
	journal = {Stochastic Environmental Research \& Risk Assessment},
	volume = {25 (7)},
	year = {2011},
	note = {1},
	pages = {865-879},
	doi = {10.1007/s00477-011-0498-0},
	author = {R{\"o}der, J. and Tolosana-Delgado, R. and Fred A. Hamprecht}
}
@article {Nicola-et-al-2011,
	title = {A general extending and constraining procedure for linear iterative methods},
	journal = {Int.~J.~Comp.~Math.},
	year = {2011},
	note = {in press},
	url = {http://dx.doi.org/10.1080/00207160.2011.634002},
	author = {Nicola, A. and Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@article {Nicola-et-al-2011,
	title = {A general extending and constraining procedure for linear iterative methods},
	journal = {Int. J. Comp. Math.},
	year = {2011},
	note = {in press},
	url = {http://dx.doi.org/10.1080/00207160.2011.634002},
	author = {Nicola, A. and Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@incollection {wanner2011generating,
	title = {Generating EPI representations of 4D light fields with a single lens focused plenoptic camera},
	year = {2011},
	pages = {90--101},
	publisher = {Springer},
	doi = {10.1007/978-3-642-24028-7_9},
	author = {Sven Wanner and Fehr, Janis and Bernd J{\"a}hne},
	editor = {G. Bebis and et al.}
}
@conference {He2011,
	title = {A global sampling method for alpha matting},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {2049{\textendash}2056},
	abstract = {Alpha matting refers to the problem of softly extracting the foreground from an image. Given a trimap (specifying known foreground/background and unknown pixels), a straightforward way to compute the alpha value is to sample some known foreground and background colors for each unknown pixel. Existing sampling-based matting methods often collect samples near the unknown pixels only. They fail if good samples cannot be found nearby. In this paper, we propose a global sampling method that uses all samples available in the image. Our global sample set avoids missing good samples. A simple but effective cost function is defined to tackle the ambiguity in the sample selection process. To handle the computational complexity introduced by the large number of samples, we pose the sampling task as a correspondence problem. The correspondence search is efficiently achieved by generalizing a randomized algorithm previously designed for patch matching[3]. A variety of experiments show that our global sampling method produces both visually and quantitatively high-quality matting results. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995495},
	author = {He, Kaiming and Rhemann, Christoph and Carsten Rother and Tang, Xiaoou and Sun, Jian}
}
@conference {Kappes11,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg H. Kappes and Speth, Markus and Bj{\"o}rn Andres and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@conference {Kappes11,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg Hendrik Kappes and Markus Speth and Bj{\"o}rn Andres and Gerhard Reinelt and Christoph Schn{\"o}rr}
}
@conference {kappes_11_globally,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	note = {1},
	pages = {31-44},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23094-3_3},
	author = {J{\"o}rg H. Kappes and Speth, M. and Bj{\"o}rn Andres and Reinelt, G. and Christoph Schn{\"o}rr}
}
@techreport {Jehle2011a,
	title = {HCI{\textquoteright}s Parabolic Lighting Facility - Design and Usage},
	year = {2011},
	institution = {Heidelberg Collaboratory for Image Processing, University of Heidelberg},
	author = {Markus Jehle}
}
@conference {schmidt2011a,
	title = {High frame rate for 3D time-of-flight cameras by dynamic sensor calibration},
	booktitle = {Proceedings IEEE International Conference on Computational Photography (ICCP)},
	year = {2011},
	pages = {1--8},
	abstract = {3D Time-of-Flight cameras are able to deliver robust depth maps of dynamic scenes. The frame rate, however, is limited because today{\textquoteright}s systems utilizing two-tap sensors need to acquire the required raw images in multiple instances in order to compute one depth map. These multiple raw images allow canceling out systematic errors introduced by asymmetries in the two taps, which otherwise would distort the reconstructed depth map. This work presents a method to implicitly calibrate these asymmetries of multi-tap 3D Time-of-Flight sensors. The calibration data are gathered from arbitrary live acquisitions possibly in real-time. The proposed correction of raw data supersedes the commonly used averaging technique. Thus it is possible to compute multiple depth maps from a single set of raw images. This increases the frame rate by at least a factor of two. The method is verified using real camera data and is evaluated quantitatively.},
	doi = {10.1109/ICCPHOT.2011.5753121},
	author = {Schmidt, Mirko and Klaus Zimmermann and Bernd J{\"a}hne}
}
@article {nair_11_high,
	title = {High Precision TOF-guided Depth from Stereo for Room Scanning},
	journal = {CVMP, Proceedings.},
	year = {2011},
	note = {1},
	author = {Nair, R. and Daniel Kondermann}
}
@conference {friedl_2011,
	title = {Hochaufl{\"o}sende raumzeitliche Messung von fl{\"u}ssigkeitsseitigen Konzentrationsfeldern an der wind- und wellenbewegten Wasseroberfl{\"a}che},
	booktitle = {DPG Fr{\"u}hjahrstagung Dresden},
	year = {2011},
	abstract = {Konzentrationsprofile in der 20 bis 200 {\textmu}m dicken Massengrenzschicht innerhalb der wasserseitigen viskosen Grenzschicht an einer wind- und wellenbewegten, freien Wasseroberfl{\"a}che konnten bisher nicht gemessen werden. Alle bisherigen Messungen wurden an ebenen Wasseroberfl{\"a}chen in Tanks mit bodeninduzierter Turbulenz durchgef{\"u}hrt. Die erstmalige Messung vertikaler Konzentrationsprofile mit einer Aufl{\"o}sung von 11.4 {\textmu}m und einer Bildfrequenz von 973 Hz ist durch Verwendung der Laser induzierten Phosphoreszenz gelungen. Der dabei verwendete Farbstoff ist ein neuer, lichtempfindlicher Ruthenium Komplex, dessen Quenchkonstante den 17-fachen Wert im Vergleich zu der bisher benutzen Pyrenbutters{\"a}ure (PBA) besitzt. Zur Anregung der Phosphoreszenz wird ein auf unter 150 {\textmu}m fokussierter Laser mit einer Wellenl{\"a}nge von 445nm verwendet. Der Scheimpflugaufbau mit schr{\"a}gen Kanalw{\"a}nden des linearen Wind-Wellen-Kanals erm{\"o}glicht die Beobachtung wasserseitiger Konzentrationsprofile auch bei wellenbewegter Wasseroberfl{\"a}che. Im n{\"a}chsten Schritt werden zeitaufgel{\"o}ste, zweidimensionale Konzentrationsfelder quer zur Windrichtung aufgenommen. Erste Tests zeigen vielversprechende Ergebnisse.},
	url = {http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/5/contribution/3},
	author = {Felix Friedl and Alexandra G. Herzog and Pius Warken and Bernd J{\"a}hne}
}
@conference {sommer_11_ilastik,
	title = {ilastik: Interactive Learning and Segmentation Toolkit},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings},
	year = {2011},
	note = {1},
	pages = {230-233},
	doi = {10.1109/ISBI.2011.5872394},
	author = {Christoph Sommer and Christoph N. Straehle and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@phdthesis {kaster_11_image,
	title = {Image Analysis for the Life Sciences - Computer-assisted Tumor Diagnostics and Digital Embryomics},
	year = {2011},
	publisher = {University of Heidelberg},
	author = {F. O. Kaster}
}
@mastersthesis {schleicher_11_image,
	title = {Image Processing for Super-Resolution Localization Microscopy Utilizing an FPGA Accelerator},
	year = {2011},
	school = {University of Heidelberg},
	author = {Schleicher, J.}
}
@conference {Toppe2011,
	title = {Image-based 3D modeling via cheeger sets},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6492 LNCS},
	number = {PART 1},
	year = {2011},
	pages = {53{\textendash}64},
	abstract = {We propose a novel variational formulation for generating 3D models of objects from a single view. Based on a few user scribbles in an image, the algorithm automatically extracts the object silhouette and subsequently determines a 3D volume by minimizing the weighted surface area for a fixed user-specified volume. The respective energy can be efficiently minimized by means of convex relaxation techniques, leading to visually pleasing smooth surfaces within a matter of seconds. In contrast to existing techniques for single-view reconstruction, the proposed method is based on an implicit surface representation and a transparent optimality criterion, assuring high-quality 3D models of arbitrary topology with a minimum of user input. {\textcopyright} 2011 Springer-Verlag Berlin Heidelberg.},
	isbn = {9783642193149},
	issn = {03029743},
	doi = {10.1007/978-3-642-19315-6_5},
	author = {T{\"o}ppe, Eno and Oswald, Martin R and Daniel Cremers and Carsten Rother}
}
@article {frank_11_image-based,
	title = {Image-Based Supervision of a Periodically Working Machine},
	journal = {Pattern Analysis and Applications},
	year = {2011},
	note = {1},
	pages = {1-10},
	doi = {10.1007/s10044-011-0245-7},
	author = {Mario Frank and Fred A. Hamprecht}
}
@mastersthesis {schapowalow_11_implementierung,
	title = {Implementierung der "Focus-Sweep" Technik mit Hilfe von Scheimpflugoptik
und TDI-Technik},
	year = {2011},
	note = {1},
	school = {University of Heidelberg},
	author = {Schapowalow, Alexander}
}
@mastersthesis {schapowalow2011,
	title = {Implementierung der Focus-Sweep Technik mit Hilfe von Scheimpflugoptik und TDI-Technik},
	year = {2011},
	school = {Fakult{\"a}t f{\"u}r Mathematik und Informatik, Ruprecht-Karls-Universit{\"a}t Heidelberg, Germany},
	author = {Schapowalow, Alexander}
}
@conference {kiefhaber2011b,
	title = {Improved optical instrument for the measurement of water wave statistics in the field},
	booktitle = {Gas Transfer at Water Surfaces 2010},
	year = {2011},
	pages = {524--534},
	doi = {10.5281/zenodo.14958},
	url = {http://hdl.handle.net/2433/156156},
	author = {Daniel Kiefhaber and Roland Rocholz and Bernd J{\"a}hne},
	editor = {S. Komori and W. R. McGilles and R. Kurose}
}
@phdthesis {Kappes-diss-2011,
	title = {Inference on Highly-Connected Discrete Graphical Models with Applications to Visual Object Recognition},
	year = {2011},
	publisher = {Ruprecht-Karls-Universit{\"a}t Heidelberg, Faculty of Mathematics and Computer Sciences},
	type = {phddoctoral thesis},
	address = {Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/11872/},
	author = {J{\"o}rg Hendrik Kappes}
}
@article {Rother2011,
	title = {Interactive foreground extraction using graph cut},
	journal = {Advances in Markov \ldots},
	year = {2011},
	pages = {1{\textendash}20},
	abstract = {Note, this is an extended version of chapter 7 from the book: Markov Random Fields for Vision and Image Processing, MIT Press [6]. In this Technical Report, references to other chapters are with respect to the book. The differences are, a new section 4.3 and extra details in section 3.2 and 3.3 The topic of interactive image segmentation has received considerable attention in the computer vision community in the last decade. Today, this topic is very mature and commercial products exist which feature advanced research solutions. This means that interactive image segmentation is today probably one of the most used computer vision technologies worldwide. In this chapter we review one class of interactive segmen-tation techniques, which use discrete optimization and a regional selection interface. We begin the chapter by explaining the seminal work of Boykov and Jolly [9]. After that the GrabCut technique [36] is introduced, which improves on [9]. GrabCut is the underlying algorithm for the Background Removal tool in the Microsoft Office 2010 product. In the third part of the chapter many interesting features and details are explained which are part of the product. In this process several recent research articles are reviewed. Finally, the Background Removal tool, as well as [9, 36], are evaluated in different ways on publicly available databases. This includes static and dynamic user inputs. 1},
	url = {http://research.microsoft.com/pubs/147408/rotheretalmrfbook-grabcut.pdf},
	author = {Carsten Rother and Kolmogorov, Vladimir}
}
@mastersthesis {straehle_11_interactive,
	title = {Interactive Segmentation of Neural Electron Microscopy Data},
	year = {2011},
	school = {University of Heidelberg},
	author = {Christoph N. Straehle}
}
@mastersthesis {Schnieders2011,
	title = {Investigation of Momentum Transfer across the Air-Sea Interface by Means of Active and Passive Thermography},
	year = {2011},
	school = {Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg},
	author = {Schnieders, Jana}
}
@conference {richter2011a,
	title = {A laboratory study of the Schmidt number dependency of air-water gas transfer},
	booktitle = {Gas Transfer at Water Surfaces 2010},
	year = {2011},
	pages = {322--332},
	doi = {10.5281/zenodo.14955},
	url = {http://hdl.handle.net/2433/156156},
	author = {Kerstin E. Richter and Bernd J{\"a}hne},
	editor = {S. Komori and W. R. McGilles and R. Kurose}
}
@conference {schimpf2011,
	title = {Lock-in thermography at the ocean surface: a local and fast method to investigate heat and gas exchange between ocean and atmosphere},
	booktitle = {DPG Fr{\"u}hjahrstagung Dresden, Fachverband Umweltphysik},
	year = {2011},
	abstract = {Heat is used as a proxy tracer for gases to study the transport processes across the sea-surface interface to obtain a detailed insight into the diffusive and turbulent processes controlling the transport. A carbon dioxide laser forces a periodically varying heat flux density onto the water surface and the amplitude damping and phase shift of the sea surface temperature is measured from infrared image sequences. The transport process can be treated by linear system theory and the relation between the input signal (periodically varying surface flux density) and the output (surface temperature) is estimated. Within the framework of the SOPRAN initiative three field experiments in the Baltic Sea were conducted. The locally derived heat transfer rates are scaled to gas transfer rates, which are in good agreement with empirical gas transfer wind speed relationships for moderate winds speeds. At high wind speed, the transfer rates are lower, which is explained by the fact that heat transport is insensitive to bubble-mediated gas transfer, i.e. it measures only a part of the transfer process directly at the water surface. Together with eddy covariance measurements a significant improvement of the parameterization of heat and gas transfer velocities can be expected.},
	url = {http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/1/contribution/28},
	author = {Uwe Schimpf and Leila Nagel and Bernd J{\"a}hne}
}
@mastersthesis {lindner_11_machine,
	title = {A Machine Learning Approach to Improve Digital Embryo Analysis},
	year = {2011},
	note = {1},
	school = {University of Heidelberg},
	author = {Lindner, M.}
}
@conference {kiefhaber2011a,
	title = {Mean square slope measurements in the field with the reflective stereo slope gauge},
	booktitle = {EGU General Assembly, Vienna},
	year = {2011},
	abstract = {An optical instrument for the measurement of surface ocean small-scale wave statistics has been developed. This reflective stereo slope gauge (RSSG) is capable of simultaneous measurements of height and slope statistics of the water surface in the field. The instrument is a significant technical improvement of the early work by Waas and J{\"a}hne (1992) and comprises a stereo camera setup, artificial light sources and a wind following system. The measurement principle is similar to Cox \& Munk{\textquoteright}s derivation of slope statistics from photographs of Sun glitter (Cox and Munk, 1954). However, the RSSG uses artificial light sources instead of relying on natural illumination and can thus be used independent of daytime or cloud cover. The probability distribution of the occurrence of specular reflections at given image coordinates can be related to the probability distribution of the surface slope, if the position of the instrument relative to the water surface is known. The slope probability distribution is measured for small slopes up to 0.15. From this partial probability distribution, estimates of the mean square slope (mss) and other statistical parameters can be extracted. The distance from of the instrument to the water surface is obtained from stereo triangulation, while an inclination sensor measures its tilt. Stereo triangulation at the specular reflecting water surface requires the use of two light sources in complementary positions to ensure that both cameras detect reflections coming from the same surface patches. Furthermore, to guarantee that each camera can only sees the corresponding light source, the stereo images are acquired sequentially and the LED light sources are pulsed. The water surface does not change significantly in between the image acquisitions, since the exposure time (and thus the minimum delay of the second image acquisition) is limited to 0.2 ms. The instrument can measure the along-wind and cross-wind mean square slope components, even under varying wind conditions. A wind following system was implemented that is able to rotate the stereo base to keep it aligned in an along-wind or cross-wind direction. Even though the instrument cannot record slope time series and only makes statistic measurements, it has significant advantages over other techniques that are commonly used. Measurements are non-invasive (no instrument parts suspended into or submersed in water) and mostly independent of natural illumination (light source peak wavelength is 940 nm, IR filters suppress skylight, only direct sun glitter may cause complications), not influenced by upwelling light (strong absorption of light at 940 nm by water) and have a spatial resolution that allows the measurement of slope statistics also for capillary waves. At the same time, the (gravity) wave amplitudes can be inferred from the stereo information. The RSSG was characterized and tested in the laboratory and deployed to the Baltic Sea in July and September 2010 to perform local wave statistics measurements at the footprint of heat exchange experiments with the active controlled flux technique (Schimpf et al., 2010). First results from these experiments that demonstrate the capability of the RSSG to measure wave slope statistics in a variety of conditions are presented.},
	doi = {10.5281/zenodo.12331},
	author = {Daniel Kiefhaber and Roland Rocholz and Julia Schaper and G{\"u}nther Balschbach and Bernd J{\"a}hne}
}
@conference {kiefhaber2011,
	title = {Measurement of ocean wave statistics with the reflective stereo slope gauge},
	booktitle = {DPG Fr{\"u}hjahrstagung Dresden, Fachverband Umweltphysik},
	year = {2011},
	abstract = {An optical instrument for the measurement of surface ocean small-scale wave statistics has been developed. This reflective stereo slope gauge (RSSG) is a significant technical improvement of the early work by Waas and J{\"a}hne (1992) and capable of simultaneous measurements of height and slope statistics of the water surface in the field. It comprises a stereo camera setup to measure wave heights by stereo triangulation. The slope measurement is based on Cox \& Munk{\textquoteright}s derivation of slope statistics from photographs of sun glitter (1954) but uses artificial light sources to be independent of natural illumination. The probability distribution of the occurrence of specular reflections in the images can be related to the probability distribution of the surface slope. Although the instrument only makes statistical measurements, it has significant advantages over other common techniques. Measurements are non-invasive (no instrument parts suspended into or submersed in water) and mostly independent of natural illumination (IR light source with},
	url = {http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/1/contribution/30},
	author = {Daniel Kiefhaber and Roland Rocholz and G{\"u}nther Balschbach and Julia Schaper and Bernd J{\"a}hne}
}
@mastersthesis {bopp2011,
	title = {Messung der Schubspannungsgeschwindigkeit am Heidelberger Aeolotron mittels der Impulsbilanzmethode},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Maximilian Bopp}
}
@article {Breitenreicher-Schnoerr-IJCV2011,
	title = {Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data},
	journal = {Int.~J.~Comp.~Vision},
	volume = {92},
	year = {2011},
	pages = {32--52},
	doi = {10.1007/s11263-010-0401-3},
	url = {http://www.springerlink.com/content/v266873267180602/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@article {Breitenreicher-Schnoerr-IJCV2011,
	title = {Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data},
	journal = {Int. J. Comp. Vision},
	volume = {92},
	year = {2011},
	pages = {32{\textendash}52},
	doi = {10.1007/s11263-010-0401-3},
	url = {http://www.springerlink.com/content/v266873267180602/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@conference {Vicente2011,
	title = {Object cosegmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {2217{\textendash}2224},
	abstract = {Cosegmentation is typically defined as the task of jointly segmenting something similar in a given set of images. Existing methods are too generic and so far have not demonstrated competitive results for any specific task. In this paper we overcome this limitation by adding two new aspects to cosegmentation: (1) the "something" has to be an object, and (2) the "similarity" measure is learned. In this way, we are able to achieve excellent results on the recently introduced iCoseg dataset, which contains small sets of images of either the same object instance or similar objects of the same class. The challenge of this dataset lies in the extreme changes in viewpoint, lighting, and object deformations within each set. We are able to considerably outperform several competitors. To achieve this performance, we borrow recent ideas from object recognition: the use of powerful features extracted from a pool of candidate object-like segmentations. We believe that our work will be beneficial to several application areas, such as image retrieval. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995530},
	author = {Vicente, Sara and Carsten Rother and Kolmogorov, Vladimir}
}
@conference {Bleyer2011,
	title = {Object stereo Joint stereo matching and object segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {3081{\textendash}3088},
	abstract = {This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially coherent objects. Each object is characterized by three different aspects: a color model, a 3D plane that approximates the object{\textquoteright}s disparity distribution, and a novel 3D connectivity property. Inspired by Markov Random Field models of image segmentation, we employ object-level color models as a soft constraint, which can aid depth estimation in powerful ways. In particular, our method is able to recover the depth of regions that are fully occluded in one input view, which to our knowledge is new for stereo matching. Our model is formulated as an energy function that is optimized via fusion moves. We show high-quality disparity and object segmentation results on challenging image pairs as well as standard benchmarks. We believe our work not only demonstrates a novel synergy between the areas of image segmentation and stereo matching, but may also inspire new work in the domain of automatic and interactive object-level scene manipulation. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995581},
	author = {Bleyer, Michael and Carsten Rother and Kohli, Pushmeet and Scharstein, Daniel and Sinha, Sudipta}
}
@article {kaster_11_object-oriented,
	title = {An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements},
	journal = {Computer Science - Research and Development},
	volume = {26},
	year = {2011},
	note = {1},
	pages = {65-85},
	doi = {10.1007/s00450-010-0143-z},
	author = {F. O. Kaster and Merkel, B. and Nix, O. and Fred A. Hamprecht}
}
@conference {menze_11_on,
	title = {On oblique random forests},
	booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings.},
	year = {2011},
	note = {1},
	pages = {453-469},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23783-6_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Splitthoff, N. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {erz2011a,
	title = {Optimale Kameraauswahl f{\"u}r maschinelles Sehen durch standardisierte Charakterisierung},
	journal = {tm --- Technisches Messen},
	volume = {78},
	year = {2011},
	pages = {377--383},
	doi = {10.1524/teme.2011.0151},
	author = {Michael Erz and Bernd J{\"a}hne}
}
@conference {lellmann_11_optimality,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning
Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	year = {2011},
	note = {1},
	pages = {132-146},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1234/12345678},
	author = {Lellmann, J. and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {Lellmann2011,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	volume = {6819},
	year = {2011},
	pages = {132--146},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr},
	editor = {Boykov, Y. and Kahl, F. and Schmidt, F. R. and Lempitsky, V. F.}
}
@conference {Lellmann2011,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	series = {LNCS},
	volume = {6819},
	year = {2011},
	pages = {132{\textendash}146},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr},
	editor = {Boykov, Y. and Kahl, F. and Lempitsky, V. F. and Schmidt, F. R.}
}
@techreport {Lellmann2011b,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	year = {2011},
	month = {Dec},
	institution = {IPA group, Heidelberg University},
	url = {http://arxiv.org/abs/1112.0974},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@conference {Rathke11,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI},
	volume = {6893},
	year = {2011},
	pages = {370--377},
	publisher = {Springer},
	organization = {Springer},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr},
	editor = {Fichtinger, Gabor and Martel, Anne L. and Peters, Terry M.}
}
@incollection {rathke2011b,
	title = {Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography},
	volume = {6893},
	year = {2011},
	pages = {370{\textendash}377},
	publisher = {Springer},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@conference {Rathke11,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI},
	series = {Lecture Notes in Computer Science},
	volume = {6893},
	year = {2011},
	pages = {370{\textendash}377},
	publisher = {Springer},
	organization = {Springer},
	author = {Fabian Rathke and Stefan Schmidt and Christoph Schn{\"o}rr},
	editor = {Fichtinger, Gabor and Martel, Anne L. and Peters, Terry M.}
}
@conference {rathke_11_order,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer
Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI 2011, Proceedings},
	volume = {6893},
	year = {2011},
	note = {1},
	pages = {370-377},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23626-6_46},
	author = {Rathke, F. and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {monroy:SCCH:2011,
	title = {Parametric Object Detection for Iconographic Analysis},
	booktitle = {Scientific Computing \& Cultural Heritage},
	year = {2011},
	url = {http://www.academia.edu/9439693/Parametric_Object_Detection_for_Iconographic_Analysis},
	author = {Monroy, A. and Thorben Kr{\"o}ger and Arnold, M. and Bj{\"o}rn Ommer}
}
@conference {Bleyer2011a,
	title = {PatchMatch Stereo - Stereo Matching with Slanted Support Windows},
	year = {2011},
	pages = {14.1{\textendash}14.11},
	abstract = {Common local stereo methods match support windows at integer-valued disparities. The implicit assumption that pixels within the support region have constant disparity does not hold for slanted surfaces and leads to a bias towards reconstructing frontoparallel surfaces. This work overcomes this bias by estimating an individual 3D plane at each pixel onto which the support region is projected. The major challenge of this approach is to find a pixels optimal 3D plane among all possible planes whose number is infinite. We show that an ideal algorithm to solve this problem is PatchMatch 1 that we extend to find an approximate nearest neighbor according to a plane. In addition to Patch- Matchs spatial propagation scheme, we propose (1) view propagation where planes are propagated among left and right views of the stereo pair and (2) temporal propagation where planes are propagated from preceding and consecutive frames of a video when doing temporal stereo. Adaptive support weights are used in matching cost aggregation to improve results at disparity borders. We also show that our slanted support windows can be used to compute a cost volume for global stereo methods, which allows for explicit treatment of occlusions and can handle large untextured regions. In the results we demonstrate that our method reconstructs highly slanted surfaces and achieves impressive disparity details with sub-pixel precision. In the Middlebury table, our method is currently top-performer among local methods and takes rank 2 among approximately 110 competitors if sub-pixel precision is considered.},
	doi = {10.5244/c.25.14},
	author = {Bleyer, Michael and Rhemann, Christoph and Carsten Rother}
}
@conference {Andres11,
	title = {Probabilistic Image Segmentation with Closedness Constraints},
	booktitle = {Proceedings of ICCV},
	year = {2011},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres11,
	title = {Probabilistic Image Segmentation with Closedness Constraints},
	booktitle = {Proceedings of ICCV},
	year = {2011},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {andres_11_probabilistic,
	title = {Probabilistic Image Segmentation with Closedness Constraints},
	booktitle = {ICCV, Proceedings},
	year = {2011},
	note = {1},
	pages = {2611 - 2618},
	doi = {10.1109/ICCV.2011.6126550},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Pletscher2011,
	title = {Putting MAP back on the map},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6835 LNCS},
	year = {2011},
	pages = {111{\textendash}121},
	abstract = {Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important problem of learning the full form of the potential functions of pairwise CRFs. We examine two popular learning techniques, maximum likelihood estimation and maximum margin training. The main focus of the paper is on models such as pairwise CRFs, that are simplistic (misspecified) and do not fit the data well. We empirically demonstrate that for misspecified models maximum-margin training with MAP prediction is superior to maximum likelihood estimation with any other prediction method. Additionally we examine the common belief that MLE is better at producing predictions matching image statistics. {\textcopyright} 2011 Springer-Verlag.},
	isbn = {9783642231223},
	issn = {03029743},
	doi = {10.1007/978-3-642-23123-0_12},
	author = {Pletscher, Patrick and Nowozin, Sebastian and Kohli, Pushmeet and Carsten Rother}
}
@conference {Pletscher2011a,
	title = {Putting MAP back on the map},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6835 LNCS},
	year = {2011},
	pages = {111{\textendash}121},
	abstract = {Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important problem of learning the full form of the potential functions of pairwise CRFs. We examine two popular learning techniques, maximum likelihood estimation and maximum margin training. The main focus of the paper is on models such as pairwise CRFs, that are simplistic (misspecified) and do not fit the data well. We empirically demonstrate that for misspecified models maximum-margin training with MAP prediction is superior to maximum likelihood estimation with any other prediction method. Additionally we examine the common belief that MLE is better at producing predictions matching image statistics. {\textcopyright} 2011 Springer-Verlag.},
	isbn = {9783642231223},
	issn = {03029743},
	doi = {10.1007/978-3-642-23123-0_12},
	author = {Pletscher, Patrick and Nowozin, Sebastian and Kohli, Pushmeet and Carsten Rother}
}
@conference {monroy:ICIP:2011,
	title = {Reconstructing the Drawing Process of Reproductions from Medieval Images},
	booktitle = {Proceedings of the International Conference on Image Processing},
	year = {2011},
	pages = {2974--2977},
	publisher = {IEEE},
	organization = {IEEE},
	url = {https://hciweb.iwr.uni-heidelberg.de/compvis/research/manesse/},
	author = {Monroy, A. and Bernd Carque and Bj{\"o}rn Ommer}
}
@conference {Gehler2011,
	title = {Recovering intrinsic images with a global sparsity prior on reflectance},
	booktitle = {Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011},
	year = {2011},
	abstract = {We address the challenging task of decoupling material properties from lighting properties given a single image. In the last two decades virtually all works have concentrated on exploiting edge information to address this problem. We take a different route by introducing a new prior on reflectance, that models reflectance values as being drawn from a sparse set of basis colors. This results in a Random Field model with global, latent variables (basis colors) and pixel-accurate output reflectance values. We show that without edge information high-quality results can be achieved, that are on par with methods exploiting this source of information. Finally, we are able to improve on state-of-the-art results by integrating edge information into our model. We believe that our new approach is an excellent starting point for future developments in this field.},
	isbn = {9781618395993},
	author = {Gehler, Peter Vincent and Carsten Rother and Kiefel, Martin and Zhang, Lumin and Sch{\"o}lkopf, Bernhard}
}
@article {Lellmann2011csc,
	title = {Regularizers for Vector-Valued Data and Labeling Problems in Image Processing},
	journal = {Control Systems and Computers},
	volume = {2},
	year = {2011},
	pages = {43{\textendash}54},
	author = {Lellmann, J. and Schn{\"o}rr, C.}
}
@article {hanselmann_11_sima,
	title = {SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists},
	journal = {Bioinformatics},
	volume = {27 (7)},
	year = {2011},
	note = {1},
	pages = {987-993},
	doi = {10.1093/bioinformatics/btr051},
	author = {Hanselmann, M. and Bj{\"o}rn Voss and B. Y. Renard and Lindner, M. and Ullrich K{\"o}the and Kirchner, M. and Fred A. Hamprecht}
}
@article {Rother2011a,
	title = {Sparse Higher Order Functions of Discrete Variables{\textendash}-Representation and Optimization},
	journal = {research.microsoft.com},
	volume = {45},
	year = {2011},
	abstract = {Higher order energy functions have the ability to encode high level structural dependencies between pix-els, which have been shown to be extremely powerful for image labeling problems. Their use, however , is severely hampered in practice by the intractable complexity of representing and minimizing such functions. We observed that higher order functions encountered in computer vision are very often "sparse", i.e. many labelings of a higher order clique are equally unlikely and hence have the same high cost. In this paper, we address the problem of minimizing such sparse higher order energy functions. Our method works by transforming the problem into an equivalent quadratic function minimization problem. The resulting quadratic function can be minimized using popular message passing or graph cut based algorithms for MAP inference. Although this is primarily a theoretical paper, we also show how labeling problems such as texture denoising and inpainting can be formulated using sparse higher order energy functions. We demonstrate experimentally that for some challenging tasks our formulation is able to out-perform various state-of-the art techniques, especially the well-known patch-based approach of Freeman et al. [11]. Given the broad use of patch-based models in computer vision, we believe that our contributions will be applicable in many problem domains.},
	url = {http://research.microsoft.com/pubs/147370/RotherKohli-SparseHigherOrder.pdf},
	author = {Carsten Rother}
}
@article {Breitenreicher-Lellmann-Schnoerr2011,
	title = {Sparse Template-Based Variational Image Segmentation},
	journal = {Advances in Adaptive Data Analysis},
	volume = {3},
	year = {2011},
	pages = {149-166},
	author = {Breitenreicher, Dirk and Lellmann, Jan and Christoph Schn{\"o}rr}
}
@article {Breitenreicher-Lellmann-Schnoerr2011,
	title = {Sparse Template-Based Variational Image Segmentation},
	journal = {Advances in Adaptive Data Analysis},
	volume = {3},
	year = {2011},
	pages = {149-166},
	author = {Breitenreicher, Dirk and Lellmann, Jan and Christoph Schn{\"o}rr}
}
@conference {lou_11_structured,
	title = {Structured Learning for Cell Tracking},
	booktitle = {NIPS 2011. Proceedings},
	year = {2011},
	note = {1},
	pages = {1296-1304},
	author = {Lou, X. and Fred A. Hamprecht},
	editor = {Shawe-Taylor, J. and Zemel, R.S. and Pereira, F.C.N. and Weinberger, K.Q. and Bartlett, P.}
}
@article {savchynskyy_11_study_supplement,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP
Labeling},
	journal = {IEEE International Conference on Computer Vision and Pattern Recognition
(CVPR), accepted as oral presentation},
	year = {2011},
	note = {1},
	pages = {1817 - 1823},
	doi = {10.1109/CVPR.2011.5995652},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {Savchynskyy-CVPR2011,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP Labeling},
	booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2011},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {Savchynskyy-CVPR2011,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP Labeling},
	booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2011},
	author = {Savchynskyy, B. and Kappes, J. H. and Schmidt, S. and Schn{\"o}rr, C.}
}
@article {Nowozin2011,
	title = {Supplementary Material : Decision Tree Fields},
	journal = {Iccv},
	year = {2011},
	author = {Nowozin, Sebastian and Sharp, Toby}
}
@conference {yarlagadda:_:2011,
	title = {Top-down Analysis of Low-level Object Relatedness Leading to Semantic Understanding of Medieval Image Collections},
	booktitle = {Conference on Computer Vision and Image Analysis of Art II},
	volume = {7869},
	year = {2011},
	pages = {61--69},
	author = {Yarlagadda, P. and Monroy, A. and Bernd Carque and Bj{\"o}rn Ommer}
}
@conference {maier-hein2011,
	title = {Towards mobile augmented reality for on-patient visualization of medical images},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin (2011)},
	year = {2011},
	pages = {389--393},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Despite considerable technical and algorithmic developments related to the fields of medical image acquisition and processing in the past decade, the devices used for visualization of medical images have undergone rather minor changes. As anatomical information is typically shown on monitors provided by a radiological work station, the physician has to mentally transfer internal structures shown on the screen to the patient. In this work, we present a new approach to on-patient visualization of 3D medical images, which combines the concept of augmented reality (AR) with an intuitive interaction scheme. The method requires mounting a Time-of-Flight (ToF) camera to a portable display (e.g., a tablet PC). During the visualization process, the pose of the camera and thus the viewing direction of the user is continuously determined with a surface matching algorithm. By moving the device along the body of the patient, the physician gets the impression of being able to look directly into the human body. The concept can be used for intervention planning, anatomy teaching and various other applications that require intuitive visualization of 3D data.},
	doi = {10.1007/978-3-642-19335-4_80},
	author = {Lena Maier-Hein and A. M. Franz and M. Fangerau and Schmidt, Mirko and Alexander Seitel and Sven Mersmann and T. Kilgus and A. Groch and K. Yung and Thiago R. dos Santos and Hans-Peter Meinzer},
	editor = {H. Handels and J. Ehrhardt and Hans-Peter Meinzer and T. Tolxdorff and T. M. Deserno}
}
@article {kelm_11_using,
	title = {Using Spatial Prior Knowledge in the Spectral Fitting of Magnetic Resonance Spectroscopic Images},
	journal = {NMR in Biomedicine},
	volume = {25(1)},
	year = {2011},
	note = {1},
	pages = {1-13},
	doi = {10.1002/nbm.1704},
	author = {B. Michael Kelm and F. O. Kaster and Henning, A. and M.-A. Weber and Bachert, P. and B{\"o}singer, P. and Fred A. Hamprecht and Bjoern H. Menze}
}
@article {becker_11_variational2,
	title = {Variational Adaptive Correlation Method for Flow Estimation},
	journal = {IEEE Transactions on Image Processing},
	volume = {21, 6},
	year = {2011},
	note = {1},
	pages = {3053 - 3065},
	doi = {10.1109/TIP.2011.2181524},
	author = {Florian Becker and Wieneke, B. and Stefania Petra and Schr{\"o}der, A. and Christoph Schn{\"o}rr}
}
@conference {lenzen_11_variational,
	title = {Variational Image Denoising with Adaptive Constraint Sets},
	booktitle = {Proceedings of the 3nd International Conference on Scale Space and
Variational Methods in Computer Vision 2011, in press},
	volume = {6667},
	year = {2011},
	note = {1},
	pages = {206-217},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-24785-9_18},
	author = {Frank Lenzen and Florian Becker and Lellmann, J. and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {becker_11_variational,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and
Camera Motion from Monocular High Speed Traffic Sequences},
	booktitle = {2011 IEEE International Conference on Computer Vision ICCV},
	year = {2011},
	note = {1},
	pages = {1692-1699},
	doi = {10.1109/ICCV.2011.6126432},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr},
	editor = {Metaxas, D. N. and Quan, L. and Van Gool, L. J. and Sanfeliu, A.}
}
@conference {Becker-et-al-11a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	booktitle = {2011 IEEE International Conference on Computer Vision (ICCV)},
	year = {2011},
	pages = {1692 -- 1699},
	doi = {10.1109/ICCV.2011.6126432},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-11a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	booktitle = {2011 IEEE International Conference on Computer Vision (ICCV)},
	year = {2011},
	pages = {1692 {\textendash} 1699},
	doi = {10.1109/ICCV.2011.6126432},
	author = {Florian Becker and Lenzen, Frank and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@techreport {mischler2011a,
	title = {Vereinfachung der Massenbilanz im Blasentank f{\"u}r luftseitige Messung},
	year = {2011},
	institution = {Institut f{\"u}r Umweltphysik},
	author = {Wolfgang Mischler and Roland Rocholz and Weissbach, T.}
}
@conference {antic:ICCV:2011,
	title = {Video Parsing for Abnormality Detection},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2011},
	pages = {2415--2422},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Antic, B. and Bj{\"o}rn Ommer}
}
@mastersthesis {kunz2011,
	title = {Visualisierung der wasserseitigen Massengrenzschicht beim konvektionsgetriebenen Gasaustausch mithilfe einer Lumineszenzmethode und Thermografie},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Jakob Kunz}
}
@article {pfannmoeller_11_visualizing,
	title = {Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy},
	journal = {Nano Letters},
	volume = {11},
	year = {2011},
	pages = {3099-3107},
	doi = {10.1021/nl201078t},
	author = {Pfannm{\"o}ller, M. and Fl{\"u}gge, H. and Benner, G. and Wacker, I. and Christoph Sommer and Hanselmann, M. and Schmale, S. and Schmidt, H. and Fred A. Hamprecht and Rabe, T. and Kowalsky, W. and Schr{\"o}der, R.}
}
@mastersthesis {schaper2011,
	title = {Wave Height Estimation with Stereo Images of the Reflective Stereo Slope Gauge (RSSG)},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Julia Schaper}
}
@mastersthesis {platt2011,
	title = {Weiterentwicklung einer hochaufl{\"o}senden LIF-Methode zur Messung von Sauerstoffkonzentrationsprofilen in der wasserseitigen Grenzschicht},
	year = {2011},
	note = {started 11.04.2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Tanja Platt}
}
@conference {haug2010a,
	title = {6 DoF appearance-based object localization with local covariant features},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {13--24},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Florian Haug and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {maier-hein2010a,
	title = {Accounting for an-iso-tro-pic noise in fine registration of time-of-flight range data with high-resolution surface data},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010)},
	volume = {6361},
	year = {2010},
	pages = {251--258},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Time-of-Flight (ToF) sensors have become a considerable alternative to conventional surface acquisition techniques such as laser range scanning and stereo vision. Application of ToF cameras for the purpose of intra-operative registration requires matching of the noisy surfaces generated from ToF range data onto pre-interventionally acquired high-resolution surfaces. The contribution of this paper is two-fold: Firstly, we present a novel method for fine rigid registration of noisy ToF data with high-resolution surface meshes taking into account both, the noise characteristics of ToF cameras and the resolution of the target mesh. Secondly, we introduce an evaluation framework for assessing the performance of ToF registration methods based on physically realistic ToF range data generated from a virtual scence. According to experiments within the presented evaluation framework, the proposed method outperforms the standard ICP algorithm with respect to correspondence search and transformation computation, leading to a decrease in the target registration error (TRE) of more than 70\%.},
	doi = {10.1007/978-3-642-15705-9_31},
	author = {Lena Maier-Hein and Schmidt, Mirko and A. M. Franz and Thiago R. dos Santos and Alexander Seitel and Bernd J{\"a}hne and J. M. Fitzpatrick and Hans-Peter Meinzer}
}
@mastersthesis {huesken_10_active,
	title = {Active and Online Learning for Interactive Image Analysis},
	year = {2010},
	school = {University of Heidelberg},
	author = {H{\"u}sken, N.}
}
@phdthesis {haug2010,
	title = {Ansichtsbasierte 6 DoF Objekterkennung mit lokalen kovarianten Regionen},
	volume = {Dissertation},
	year = {2010},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	doi = {10.11588/heidok.00011428},
	author = {Florian Haug}
}
@article {kreshuk_10_automated,
	title = {Automated detection and analysis of bimodal isotope peak distribution in H/D exchange mass spectrometry using HeXicon},
	journal = {International Journal of Mass Spectrometry},
	volume = {302},
	year = {2010},
	note = {1},
	pages = {125-131},
	doi = {10.1016/j.ijms.2010.08.025},
	author = {Anna Kreshuk and Stankiewicz, M. and Lou, X. and Kirchner, M. and Fred A. Hamprecht and Mayer, M. P.}
}
@mastersthesis {scheelen_10_automated,
	title = {Automated Quality Control in the Life Sciences},
	year = {2010},
	school = {University of Heidelberg},
	author = {Scheelen, C.}
}
@mastersthesis {stapf2010,
	title = {Bestimmung der dynamischen Oberfl{\"a}chenspannung mit Hilfe der Blasendruckmethode},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/17777},
	author = {Julian Stapf}
}
@phdthesis {hoernlein2010,
	title = {Boosted Feature Generation for Classification Problems Involving High Numbers of Inputs and Classes},
	volume = {Dissertation},
	year = {2010},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	abstract = {Classification problems involving high numbers of inputs and classes play an important role in the field of machine learning. Image classification, in particular, is a very active field of research with numerous applications. In addition to their high number, inputs of image classification problems often show significant correlation. Also, in proportion to the number of inputs, the number of available training samples is usually low. Therefore techniques combining low susceptibility to overfitting with good classification performance have to be found. Since for many tasks data has to be processed in real time, computational efficiency is crucial as well. Boosting is a machine learning technique, which is used successfully in a number of application areas, in particular in the field of machine vision. Due to it{\textquoteright}s modular design and flexibility, Boosting can be adapted to new problems easily. In addition, techniques for optimizing classifiers produced by Boosting with respect to computational efficiency exist. Boosting builds linear ensembles of base classifiers in a stage-wise fashion. Sample-weights reflect whether training samples are hard-to-classify or not. Therefore Boosting is able to adapt to the given classification problem over the course of training. The present work deals with the design of techniques for adapting Boosting to problems involving high numbers of inputs and classes. In the first part, application of Boosting to multi-class problems is analyzed. After giving an overview of existing approaches, a new formulation for base-classifiers solving multi-class problems by splitting them into pair-wise binary subproblems is presented. Experimental evaluation shows the good performance and computational efficiency of the proposed technique compared to state-of-the-art techniques. In the second part of the work, techniques that use Boosting for feature generation are presented. These techniques use the distribution of sample weights, produced by Boosting, to learn features that are adapted to the problems solved in each Boosting stage. By using smoothing-spline base classifiers, gradient descent schemes can be incorporated to find features that minimize the cost function of the current base classifier. Experimental evaluation shows, that Boosting with linear projective features significantly outperforms state-of-the-art approaches like e.g. SVM and Random Forests. In order to be applicable to image classification problems, the presented feature generation scheme is extended to produce shift-invariant features. The utilized features are inspired by the features used in Convolutional Neural Networks and perform a combination of convolution and subsampling. Experimental evaluation for classification of handwritten digits and car side-views shows that the proposed system is competitive to the best published results. The presented scheme has the advantages of being very simple and involving a low number of design parameters only.},
	doi = {10.11588/heidok.00010999},
	author = {Thomas H{\"o}rnlein}
}
@techreport {rocholz2010b,
	title = {Calibration of the 2010-CISG Setup at the Aeolotron},
	year = {2010},
	institution = {Institute of Environmental Physics, University of Heidelberg},
	author = {Roland Rocholz}
}
@phdthesis {hanselmann_10_computational,
	title = {Computational Methods for the Analysis of Mass Spectrometry Images},
	year = {2010},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Hanselmann, M.}
}
@article {kirchner_10_computational,
	title = {Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments},
	journal = {Bioinformatics},
	volume = {26 (1)},
	year = {2010},
	note = {1},
	pages = {77-83},
	doi = {10.1093/bioinformatics/btp607},
	author = {Kirchner, M. and B. Y. Renard and Ullrich K{\"o}the and Pappin, D. J. and Fred A. Hamprecht and Judith A. J. Steen and Steen, H.}
}
@mastersthesis {nair_10_construction,
	title = {Construction and analysis of random tree ensembles},
	year = {2010},
	school = {University of Heidelberg},
	author = {Nair, R.}
}
@techreport {Lellmann2010,
	title = {Continuous Multiclass Labeling Approaches and Algorithms},
	year = {2010},
	month = {Feb.},
	institution = {Univ. of Heidelberg},
	type = {Tech. Rep.},
	url = {http://www.ub.uni-heidelberg.de/archiv/10460/},
	author = {Lellmann, J. and Schn{\"o}rr, C.}
}
@conference {Vicente2010,
	title = {Cosegmentation revisited: Models and optimization},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6312 LNCS},
	number = {PART 2},
	year = {2010},
	pages = {465{\textendash}479},
	abstract = {The problem of cosegmentation consists of segmenting the same object (or objects of the same class) in two or more distinct images. Recently a number of different models have been proposed for this problem. However, no comparison of such models and corresponding optimization techniques has been done so far. We analyze three existing models: the L1 norm model of Rother et al. [1], the L2 norm model of Mukherjee et al. [2] and the "reward" model of Hochbaum and Singh [3]. We also study a new model, which is a straightforward extension of the Boykov-Jolly model for single image segmentation [4]. In terms of optimization, we use a Dual Decomposition (DD) technique in addition to optimization methods in [1,2]. Experiments show a significant improvement of DD over published methods. Our main conclusion, however, is that the new model is the best overall because it: (i) has fewest parameters; (ii) is most robust in practice, and (iii) can be optimized well with an efficient EM-style procedure. {\textcopyright} 2010 Springer-Verlag.},
	isbn = {3642155510},
	issn = {16113349},
	doi = {10.1007/978-3-642-15552-9_34},
	author = {Vicente, Sara and Kolmogorov, Vladimir and Carsten Rother}
}
@article {lou_10_deuteration,
	title = {Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments},
	journal = {Bioinformatics},
	volume = {26(12)},
	year = {2010},
	note = {1},
	pages = {1535-1541},
	doi = {10.1093/bioinformatics/btq165},
	author = {Lou, X. and Kirchner, M. and B. Y. Renard and Ullrich K{\"o}the and Graf, C. and Lee, C. and Judith A. J. Steen and Steen, H. and Mayer, M. P. and Fred A. Hamprecht}
}
@mastersthesis {kiefhaber2010a,
	title = {Development of a Reflective Stereo Slope Gauge for the Measurement of Ocean Surface Wave Slope Statistics},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/12673/},
	author = {Daniel Kiefhaber}
}
@conference {wagner:ACCV:2010,
	title = {Efficiently Clustering Earth Mover{\textquoteright}s Distance},
	booktitle = {Proceedins of the Aian Conference on Computer Vision},
	year = {2010},
	pages = {477--488},
	publisher = {Springer},
	organization = {Springer},
	author = {Wagner, J. and Bj{\"o}rn Ommer}
}
@conference {andres_10_empirical,
	title = {An Empirical Comparison of Inference Algorithms for Graphical Models
with Higher Order Factors Using OpenGM},
	booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
	number = {6376},
	year = {2010},
	note = {1},
	pages = {353-362},
	doi = {10.1007/978-3-642-15986-2_36},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@conference {Kappes-DAGM2010,
	title = {An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM},
	booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
	year = {2010},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@article {jaehne2010b,
	title = {EMVA 1288 standard for machine vision -- objective specification of vital camera data},
	journal = {Optik \& Photonik},
	volume = {5},
	year = {2010},
	pages = {53--54},
	doi = {10.1002/opph.201190082},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {mischler2010,
	title = {Entwicklung eines Experiments zur Messung von Blasendichten und blaseninduziertem Gasaustausch},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.12742},
	author = {Wolfgang Mischler}
}
@mastersthesis {gliss2010,
	title = {Entwicklung und Implementierung eines Cavity-Enhanced-Spektrometers am Wind-Wellen-Kanal},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Im Rahmen dieser Arbeit wurde ein resonatorverst{\"a}rktes Spektrometer (englisch: Cavity- Enhanced Spectrometer, hier: CE-Spektrometer) zur Messung der Gasaustauschgeschwindigkeit UV-aktiver Substanzen aufgebaut und im gro{\ss}en Heidelberger Wind-Wellen-Kanal zum Einsatz gebracht. Das CE-Spektrometer besteht im Wesentlichen aus einem optischen Resonator, einer Deuteriumlampe und einem Gitterspektrometer, die durch eine Spannvorrichtung quer zur Windrichtung im Luftraum des Kanals montiert wurden. Durch den Resonator k{\"o}nnen optische Wegl{\"a}ngen von bis zu 40m bei gleichzeitig kompakter Bauweise von nur 80 cm realisiert werden. F{\"u}r geringe Spurenstoffkonzentrationen ist die effektive optische Wegl{\"a}nge gr{\"o}{\ss}er als f{\"u}r hohe Konzentrationen. Dadurch erreicht das CE-Spektrometer eine h{\"o}here Dynamik, als ein konventieneller Spektrometeraufbau ohne Resonator. Die f{\"u}r Gasaustauschmessungen ben{\"o}tigten relativen Tracerkonzentrationen k{\"o}nnen mit einer Aufl{\"o}sung von 1 Hz bestimmt werden. Zum Test des CE-Spektrometers wurden Gasaustauschraten von 1,4-Difluorbenzol gemessen und mit Ergebnissen eines bestehenden konventionellen Aufbaus verglichen. Der Vergleich hat die Einsatzf{\"a}higkeit der neuen Methode best{\"a}tigt. Das CE-Spektrometer bietet die M{\"o}glichkeit, durch Messung kurzzeitiger und lokaler Variationen in den Gaskonzentrationen, Einblicke in die intermittente Natur des Gastransports zwischen Ozean und Atmosph{\"a}re zu erhalten.},
	author = {Jonas Gli{\ss}}
}
@article {renard_10_estimating,
	title = {Estimating the Confidence of Peptide Identifications without Decoy Databases},
	journal = {Analytical Chemistry},
	year = {2010},
	note = {1},
	pages = {4314-4318},
	doi = {10.1021/ac902892j},
	author = {B. Y. Renard and Timm, W. and Kirchner, M. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {herzog2010c,
	title = {Estimating water-sided vertical gas concentration profiles by inverse modeling},
	booktitle = {2nd Int. Conf. Eng. Optimization, Lisbon, 6--9. Sep. 2010},
	year = {2010},
	author = {Alexandra G. Herzog and T. Binder and Felix Friedl and Bernd J{\"a}hne}
}
@conference {schmidt2010,
	title = {Exact modelling of time-of-flight cameras for optimal depth maps},
	booktitle = {International Conference on Computational Photography (ICCP) 2010},
	year = {2010},
	note = {Poster},
	author = {Schmidt, Mirko and Michael Erz and Klaus Zimmermann and Bernd J{\"a}hne}
}
@mastersthesis {kroeger_10_exploratory,
	title = {Exploratory and computational analysis of huge volume images for connectomics},
	year = {2010},
	note = {1},
	school = {University of Heidelberg},
	author = {Thorben Kr{\"o}ger}
}
@conference {Lellmann2010a,
	title = {Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6312},
	year = {2010},
	pages = {494--505},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Lellmann, J. and Breitenreicher, D. and Christoph Schn{\"o}rr},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {Lellmann2010a,
	title = {Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision},
	booktitle = {European Conference on Computer Vision (ECCV)},
	series = {LNCS},
	volume = {6312},
	year = {2010},
	pages = {494{\textendash}505},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Lellmann, J. and Breitenreicher, D. and Schn{\"o}rr, C.},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@article {boerner_10_from,
	title = {From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication},
	journal = {Biotechnology Journal},
	volume = {5},
	year = {2010},
	note = {1},
	pages = {39-49},
	doi = {10.1002/biot.200900226},
	author = {B{\"o}rner, K. and Hermle, J. and Christoph Sommer and Brown, N. P. and Knapp, B. and Glass, B. and Torralba, G. and Reymann, J. and Beil, N. and Beneke, J. and Pepperkok, R. and Schneider, R. and Ludwig, T.}
}
@article {Lempitsky2010,
	title = {Fusion moves for markov random field optimization},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {32},
	number = {8},
	year = {2010},
	pages = {1392{\textendash}1405},
	abstract = {The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one possible way of achieving this by using graph cuts to combine pairs of suboptimal labelings or solutions. We call this combination process the fusion move. By employing recently developed graph-cut-based algorithms (so-called QPBO-graph cut), the fusion move can efficiently combine two proposal labelings in a theoretically sound way, which is in practice often globally optimal. We demonstrate that fusion moves generalize many previous graph-cut approaches, which allows them to be used as building blocks within a broader variety of optimization schemes than were considered before. In particular, we propose new optimization schemes for computer vision MRFs with applications to image restoration, stereo, and optical flow, among others. Within these schemes the fusion moves are used 1) for the parallelization of MRF optimization into several threads, 2) for fast MRF optimization by combining cheap-to-compute solutions, and 3) for the optimization of highly nonconvex continuous-labeled MRFs with 2D labels. Our final example is a nonvision MRF concerned with cartographic label placement, where fusion moves can be used to improve the performance of a standard inference method (loopy belief propagation). {\textcopyright} 2006 IEEE.},
	keywords = {Combinatorial algorithms, Computer vision, Graph algorithms, Image restoration., Markov random fields, Motion, Stereo},
	issn = {01628828},
	doi = {10.1109/TPAMI.2009.143},
	author = {Lempitsky, Victor and Carsten Rother and Roth, Stefan and Blake, Andrew}
}
@article {Lempitsky2010a,
	title = {Fusion moves for markov random field optimization},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {32},
	number = {8},
	year = {2010},
	pages = {1392{\textendash}1405},
	abstract = {The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one possible way of achieving this by using graph cuts to combine pairs of suboptimal labelings or solutions. We call this combination process the fusion move. By employing recently developed graph-cut-based algorithms (so-called QPBO-graph cut), the fusion move can efficiently combine two proposal labelings in a theoretically sound way, which is in practice often globally optimal. We demonstrate that fusion moves generalize many previous graph-cut approaches, which allows them to be used as building blocks within a broader variety of optimization schemes than were considered before. In particular, we propose new optimization schemes for computer vision MRFs with applications to image restoration, stereo, and optical flow, among others. Within these schemes the fusion moves are used 1) for the parallelization of MRF optimization into several threads, 2) for fast MRF optimization by combining cheap-to-compute solutions, and 3) for the optimization of highly nonconvex continuous-labeled MRFs with 2D labels. Our final example is a nonvision MRF concerned with cartographic label placement, where fusion moves can be used to improve the performance of a standard inference method (loopy belief propagation). {\textcopyright} 2006 IEEE.},
	keywords = {Combinatorial algorithms, Computer vision, Graph algorithms, Image restoration., Markov random fields, Motion, Stereo},
	issn = {01628828},
	doi = {10.1109/TPAMI.2009.143},
	author = {Lempitsky, Victor and Carsten Rother and Roth, Stefan and Blake, Andrew}
}
@mastersthesis {daume2010,
	title = {Fusion von Midwave-infrared- und Longwave-infrared-W{\"a}rmebildger{\"a}ten zur Klassifizierung von Flugobjekten},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Dominik Daume}
}
@conference {Gulshan2010,
	title = {Geodesic star convexity for interactive image segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2010},
	pages = {3129{\textendash}3136},
	abstract = {In this paper we introduce a new shape constraint for interactive image segmentation. It is an extension of Veksler{\textquoteright}s [25] star-convexity prior, in two ways: from a single star to multiple stars and from Euclidean rays to Geodesic paths. Global minima of the energy function are obtained subject to these new constraints. We also introduce Geodesic Forests, which exploit the structure of shortest paths in implementing the extended constraints. The star-convexity prior is used here in an interactive setting and this is demonstrated in a practical system. The system is evaluated by means of a "robot user" to measure the amount of interaction required in a precise way. We also introduce a new and harder dataset which augments the existing Grabcut dataset [1] with images and ground truth taken from the PASCAL VOC segmentation challenge [7]. {\textcopyright}2010 IEEE.},
	isbn = {9781424469840},
	issn = {10636919},
	doi = {10.1109/CVPR.2010.5540073},
	author = {Gulshan, Varun and Carsten Rother and Criminisi, Antonio and Blake, Andrew and Zisserman, Andrew}
}
@conference {koethe_10_geometric,
	title = {Geometric Analysis of 3D Electron Microscopy Data},
	booktitle = {Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM)},
	year = {2010},
	note = {1},
	pages = {22-26},
	author = {Ullrich K{\"o}the and Bj{\"o}rn Andres and Thorben Kr{\"o}ger and Fred A. Hamprecht},
	editor = {Ullrich K{\"o}the and Montanvert, A. and Soille, P.}
}
@mastersthesis {warken2010,
	title = {Hochaufl{\"o}sende LIF-Methode zur Messung von Sauerstoffkonzentrationsprofilen in der wasserseitigen Grenzschicht},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Pius Warken}
}
@article {andres_10_how,
	title = {How to Extract the Geometry and Topology from Very Large 3D Segmentations},
	journal = {ArXiv e-prints},
	year = {2010},
	note = {1},
	url = {http://arxiv.org/abs/1009.6215},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Fred A. Hamprecht}
}
@phdthesis {herzog2010b,
	title = {Imaging of Water-sided Gas-Concentration Fields at a Wind-Driven, Wavy Air-Water Interface},
	volume = {Dissertation},
	year = {2010},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	doi = {10.11588/heidok.00011220},
	author = {Alexandra G. Herzog}
}
@article {Ding2010,
	title = {Interactive image segmentation using probabilistic hypergraphs},
	journal = {Pattern Recognition},
	volume = {43},
	number = {5},
	year = {2010},
	pages = {1863{\textendash}1873},
	abstract = {This paper introduces a novel interactive framework for segmenting images using probabilistic hypergraphs which model the spatial and appearance relations among image pixels. The probabilistic hypergraph provides us a means to pose image segmentation as a machine learning problem. In particular, we assume that a small set of pixels, which are referred to as seed pixels, are labeled as the object and background. The seed pixels are used to estimate the labels of the unlabeled pixels by learning on a hypergraph via minimizing a quadratic smoothness term formed by a hypergraph Laplacian matrix subject to the known label constraints. We derive a natural probabilistic interpretation of this smoothness term, and provide a detailed discussion on the relation of our method to other hypergraph and graph based learning methods. We also present a front-to-end image segmentation system based on the proposed method, which is shown to achieve promising quantitative and qualitative results on the commonly used GrabCut dataset. {\textcopyright} 2009 Elsevier Ltd. All rights reserved.},
	keywords = {Hypergraphs, Image segmentation, Interactive segmentation, Semi-supervised learning},
	issn = {00313203},
	doi = {10.1016/j.patcog.2009.11.025},
	url = {http://www.research.microsoft.com/vision/cambridge},
	author = {Ding, Lei and Yilmaz, Alper}
}
@phdthesis {sommer_10_interactive,
	title = {Interactive Learning for the Analysis of Biomedical and Industrial Imagery},
	year = {2010},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Christoph Sommer}
}
@mastersthesis {wanner2010,
	title = {Interaktives Rendering von Wellendaten windgetriebener Wasseroberfl{\"a}chen und Ereignisklassifizierung},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/11904},
	author = {Sven Wanner}
}
@conference {jaehne2010,
	title = {Investigating the mechanisms of air-water gas transfer by quantitative imaging techniques: history, current progress and remaining challenges},
	booktitle = {6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010},
	year = {2010},
	note = {abstract keynote talk},
	doi = {10.5281/zenodo.14927},
	author = {Bernd J{\"a}hne}
}
@article {andres_10_lazy,
	title = {The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search},
	journal = {ArXiv e-prints},
	year = {2010},
	note = {1},
	url = {http://arxiv.org/abs/1009.4102},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {6395,
	title = {Learning an Interactive Segmentation System - Supplemental Material},
	year = {2010},
	author = {H. Nickisch and C. Rother and P. Kohli and C. Rhemann}
}
@conference {jehle_10_learning,
	title = {Learning of Optimal Illumination for Material Classification},
	booktitle = {Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany},
	number = {6376/2010},
	year = {2010},
	note = {1},
	pages = {563-572},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-15986-2_57},
	author = {Markus Jehle and Christoph Sommer and Bernd J{\"a}hne},
	editor = {Goesele, M. and Roth, S. and Schiele, B. and Schindler, K. and Kuijper, A.}
}
@conference {jehle2010,
	title = {Learning of optimal illumination for material classification},
	booktitle = {Pattern Recognition},
	volume = {6376},
	year = {2010},
	pages = {563--572},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environments covering nearly the whole space of the upper hemisphere. The individual images of the illumination series span a high-dimensional feature space. Using a random forest classifier different materials, which vary in appearance (which itself depends on the patterns of incoming illumination), can be distinguished reliably. The associated Gini feature importance allows for determining the features which are most relevant for the classification result. By linking the features to illumination patterns a proposition about optimal lighting for defect detection can be made, which yields valuable information for the selection and placement of light sources.},
	doi = {10.1007/978-3-642-15986-2_57},
	author = {Markus Jehle and Christoph Sommer and Bernd J{\"a}hne},
	editor = {Goesele, Michael and Roth, Stefan and Schiele, Bernt and Schindler, Konrad and Kuijper, Arjan}
}
@article {ommer:PAMI:2010,
	title = {Learning the Compositional Nature of Visual Object Categories for Recognition},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {32},
	number = {3},
	year = {2010},
	pages = {501--516},
	publisher = {IEEE},
	author = {Bj{\"o}rn Ommer and J. M. Buhmann}
}
@article {fehr_10_local,
	title = {Local Rotation Invariant Patch Descriptors for 3D Vector Fields},
	journal = {Pattern Recognition, International Conference on, Istanbul, Turkey, August 23-26, 2010},
	year = {2010},
	note = {1},
	pages = {1381-1384},
	doi = {10.1109/ICPR.2010.341},
	author = {Fehr, J.}
}
@mastersthesis {niegel2010,
	title = {Messung konvektionsgetriebener Transfergeschwindigkeit von Sauerstoff an der Luft-Wasser-Grenzfl{\"a}che},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Daniel Niegel}
}
@article {kirchner_10_mgfp,
	title = {MGFp: An Open Mascot Generic Format Parser Library Implementation},
	journal = {Journal of Proteome Research},
	volume = {9 (5)},
	year = {2010},
	pages = {27622763},
	doi = {10.1021/pr100118f},
	author = {Kirchner, M. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {Rother2010,
	title = {Minimizing sparse higher order energy functions of discrete variables},
	year = {2010},
	pages = {1382{\textendash}1389},
	abstract = {Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling problems. Their use, however, is severely hampered in practice by the intractable complexity of representing and minimizing such functions. We observed that higher order functions encountered in computer vision are very often {\textquotedblleft}sparse{\textquotedblright}, i.e. many labelings of a higher order clique are equally unlikely and hence have the same high cost. In this paper, we address the problem of minimizing such sparse higher order energy functions. Our method works by transforming the problem into an equivalent quadratic function minimization problem. The resulting quadratic function can be minimized using popular message passing or graph cut based algorithms for MAP inference. Although this is primarily a theoretical paper, it also shows how higher order functions can be used to obtain impressive results for the binary texture restoration problem.},
	doi = {10.1109/cvpr.2009.5206739},
	author = {Carsten Rother and Kohli, Pushmeet and Wei Feng and Jiaya Jia}
}
@mastersthesis {kausler_10_modeling,
	title = {Modeling of Spectral Peaks for Mass-Spectrometry-based Proteomics},
	year = {2010},
	note = {1},
	school = {Universities of Karlsruhe and Heidelberg},
	author = {Bernhard X. Kausler}
}
@conference {kappes_10_mrf,
	title = {MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6313},
	year = {2010},
	note = {1},
	pages = {735--747},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-15558-1_53},
	author = {J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {Kappes-ECCV2010,
	title = {MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6313},
	year = {2010},
	pages = {735--747},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {Kappes-ECCV2010,
	title = {MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6313},
	year = {2010},
	pages = {735{\textendash}747},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Kappes, J. H. and Schmidt, S. and Schn{\"o}rr, C.},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {lin2010,
	title = {Multi-frequency multi-sampling fluorescence lifetime imaging using a high-speed line-scan camera},
	booktitle = {Optics, Photonics, and Digital Technologies for Multimedia Applications, 12--15 April 2010, Brussels},
	volume = {7723},
	year = {2010},
	pages = {77231S},
	doi = {10.1117/12.854763},
	author = {Zhuang Lin and Michael Erz and Bernd J{\"a}hne},
	editor = {P. Schelkens and T. Ebrahimi and F. Truchetet and P. Saarikko and G. Cristobal}
}
@article {menze_11_multimodal,
	title = {Multimodal Medical Image Analysis: from Visualization to Disease Modeling},
	journal = {Zeitschrift f{\"u}r Med. Physik},
	volume = {1},
	year = {2010},
	pages = {1-2},
	doi = {10.1016/j.zemedi.2010.12.002},
	author = {Bjoern H. Menze and Fred A. Hamprecht}
}
@conference {Singaraju2010,
	title = {New appearance models for natural image matting},
	year = {2010},
	pages = {659{\textendash}666},
	abstract = {Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene{\textquoteright}s appearance is necessary. Existing methods that provide a closed form solution to this problem, assume that the colors of the foreground and background layers are locally linear. In this paper, we show that such models can be an overfit when the colors of the two layers are locally constant. We derive new closed form expressions in such cases, and show that our models are more compact than existing ones. In particular, the null space of our cost function is a subset of the null space constructed by existing approaches. We discuss the bias towards specific solutions for each formulation. Experiments on synthetic and real data confirm that our compact models estimate alpha mattes more accurately than existing techniques, without the need of additional user interaction.},
	doi = {10.1109/cvpr.2009.5206491},
	author = {Singaraju, Dheeraj and Carsten Rother and Rhemann, Christoph}
}
@conference {voss2010,
	title = {A new approach for 3C3D measurements of aqueous boundary layer flows relative to the wind-wave undulated interface},
	booktitle = {6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010},
	year = {2010},
	note = {poster},
	doi = {10.5281/zenodo.14930},
	author = {Bj{\"o}rn Voss and Alexander Heinlein and Bernd J{\"a}hne and Christoph S. Garbe}
}
@conference {voss2010a,
	title = {Novel strategy for water sided interfacial 3D3Cflow-visualization using a single camera},
	booktitle = {14th International Symposium on Flow Visualization},
	year = {2010},
	pages = {D1-018},
	author = {Bj{\"o}rn Voss and Christoph S. Garbe}
}
@conference {kaster_10_object-oriented,
	title = {An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2010 -- Algorithmen, Systeme, Anwendungen},
	year = {2010},
	note = {1},
	pages = {97-101},
	publisher = {Springer},
	organization = {Springer},
	author = {F. O. Kaster and Kassemeyer, S. and Merkel, B. and Nix, O. and Fred A. Hamprecht},
	editor = {T. M. Deserno and H. Handels and T. Tolxdorff and Hans-Peter Meinzer}
}
@conference {jehle_10_optimal,
	title = {Optimal Lighting for Defect Detection: Illumination Systems, Machine
Learning, and Practical Verification},
	booktitle = {Forum Bildverarbeitung, Regensburg, 02.-03.12.2010},
	year = {2010},
	note = {1},
	pages = {301-312},
	publisher = {KIT SCientific Publishing},
	organization = {KIT SCientific Publishing},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and Heinzmann, M.}
}
@conference {jehle2010a,
	title = {Optimal lighting for defect detection: illumination systems, machine learning, and practical verification},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {241--252},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@article {lellmann_10_optimality,
	title = {Optimality Bounds for Variational Relaxations of Optimal Partition
Problems},
	year = {2010},
	note = {1},
	author = {Lellmann, J. and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {erz2010,
	title = {Optimierte Kameraauswahl f{\"u}r maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {155--166},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@article {Vlasenko-Schnoerr-10,
	title = {Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates},
	journal = {IEEE Trans.~Image Proc.},
	volume = {19},
	number = {3},
	year = {2010},
	pages = {586-595},
	author = {Vlasenko, A. and Christoph Schn{\"o}rr}
}
@article {Vlasenko-Schnoerr-10,
	title = {Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates},
	journal = {IEEE Trans. Image Proc.},
	volume = {19},
	number = {3},
	year = {2010},
	pages = {586-595},
	author = {Vlasenko, A. and Schn{\"o}rr, C.}
}
@booklet {Chellappa2010,
	title = {Proceedings - 7th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2010},
	howpublished = {ACM International Conference Proceeding Series},
	year = {2010},
	publisher = {ACM},
	isbn = {9781450300605},
	author = {Chellappa, Rama. and Association for Computing Machinery.}
}
@conference {yarlagadda:ACCV:2010,
	title = {Recognition and Analysis of Objects in Medieval Images},
	booktitle = {Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage},
	year = {2010},
	pages = {296--305},
	publisher = {Springer},
	organization = {Springer},
	author = {Yarlagadda, P. and Monroy, A. and Bernd Carque and Bj{\"o}rn Ommer}
}
@article {Breitenreicher-Schnoerr10,
	title = {Robust 3D object registration without explicit correspondence using geometric integration},
	journal = {Machine Vision and Applications},
	volume = {21},
	number = {5},
	year = {2010},
	pages = {601-611},
	doi = {10.1007/s00138-009-0227-6},
	url = {http://www.springerlink.com/content/g20710062l014241/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@article {Breitenreicher-Schnoerr10,
	title = {Robust 3D object registration without explicit correspondence using geometric integration},
	journal = {Machine Vision and Applications},
	volume = {21},
	number = {5},
	year = {2010},
	pages = {601-611},
	doi = {10.1007/s00138-009-0227-6},
	url = {http://www.springerlink.com/content/g20710062l014241/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@phdthesis {renard_10_robust,
	title = {Robust Methods for the Proteomic Data Analysis Pipeline},
	year = {2010},
	publisher = {University of Heidelberg},
	author = {B. Y. Renard}
}
@article {andres_10_runtime,
	title = {Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x},
	journal = {ArXiv e-prints},
	year = {2010},
	note = {1},
	url = {http://arxiv.org/abs/1008.2909v1},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Fred A. Hamprecht}
}
@conference {Mansfield2010,
	title = {Scene carving: Scene consistent image retargeting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6311 LNCS},
	number = {PART 1},
	year = {2010},
	pages = {143{\textendash}156},
	abstract = {Image retargeting algorithms often create visually disturbing distortion. We introduce the property of scene consistency, which is held by images which contain no object distortion and have the correct object depth ordering. We present two new image retargeting algorithms that preserve scene consistency. These algorithms make use of a user-provided relative depth map, which can be created easily using a simple GrabCut-style interface. Our algorithms generalize seam carving. We decompose the image retargeting procedure into (a) removing image content with minimal distortion and (b) re-arrangement of known objects within the scene to maximize their visibility. Our algorithms optimize objectives (a) and (b) jointly. However, they differ considerably in how they achieve this. We discuss this in detail and present examples illustrating the rationale of preserving scene consistency in retargeting. {\textcopyright} 2010 Springer-Verlag.},
	isbn = {3642155480},
	issn = {16113349},
	doi = {10.1007/978-3-642-15549-9_11},
	url = {www.fujifilm.com/products/3d/camera/finepix_},
	author = {Mansfield, Alex and Gehler, Peter and Van Gool, Luc and Carsten Rother}
}
@mastersthesis {weber2010,
	title = {Setup of a Laser Slope Gauge for the Measurement of Wave Slope Distributions at the Small Circular Wind Wave Facility},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Robin Weber}
}
@conference {herzog2010a,
	title = {Simultaneous high-resolution LIF measurements of dissolved gas concentration fields and measurements of wave slope at a wavy free water surface with wind-induced turbulence},
	booktitle = {15h Int. Symp on Appl. Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 05--08, 2010},
	year = {2010},
	doi = {10.5281/zenodo.15132},
	author = {Alexandra G. Herzog and Felix Friedl and Bernd J{\"a}hne}
}
@conference {atif2010,
	title = {A space-variant (3D) image simulation tool for computational cameras},
	booktitle = {International Conference on Computational Photography (ICCP) 2010},
	year = {2010},
	note = {Poster},
	author = {Atif, Muhammad and Klaus Zimmermann and Bernd J{\"a}hne}
}
@conference {Rhemann2010,
	title = {A spatially varying PSF-based prior for alpha matting},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2010},
	pages = {2149{\textendash}2156},
	abstract = {In this paper we considerably improve on a state-of-theart alpha matting approach by incorporating a new prior which is based on the image formation process. In particular, we model the prior probability of an alpha matte as the convolution of a high-resolution binary segmentation with the spatially varying point spread function (PSF) of the camera. Our main contribution is a new and efficient deconvolution approach that recovers the prior model, given an approximate alpha matte. By assuming that the PSF is a kernel with a single peak, we are able to recover the binary segmentation with an MRF-based approach, which exploits flux and a new way of enforcing connectivity. The spatially varying PSF is obtained via a partitioning of the image into regions of similar defocus. Incorporating our new prior model into a state-of-the-art matting technique produces results that outperform all competitors, which we confirm using a publicly available benchmark. {\textcopyright}2010 IEEE.},
	isbn = {9781424469840},
	issn = {10636919},
	doi = {10.1109/CVPR.2010.5539894},
	author = {Rhemann, Christoph and Carsten Rother and Kohli, Pushmeet and Gelautz, Margrit}
}
@conference {herzog2010,
	title = {Spatio-temporal fluctuations of water-sided gas concentration fields under wind-induced turbulence},
	booktitle = {6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010},
	year = {2010},
	note = {abstract},
	doi = {10.5281/zenodo.14929},
	author = {Alexandra G. Herzog and Felix Friedl and Bernd J{\"a}hne}
}
@conference {rocholz2010,
	title = {Spatio-temporal measurements of short wind water waves},
	booktitle = {EGU General Assembly 2010, Symposium AS2.2},
	year = {2010},
	pages = {EGU2010-5509},
	author = {Roland Rocholz and Bernd J{\"a}hne}
}
@article {rathke2010structrank,
	title = {StructRank: A new approach for ligand-based virtual screening},
	journal = {J. Chem. Inf. Model.},
	volume = {51},
	year = {2010},
	pages = {83{\textendash}92},
	doi = {http://dx.doi.org/10.1021/ci100308f},
	author = {Rathke, Fabian and Hansen, Katja and Brefeld, Ulf and M{\"u}ller, Klaus-Robert}
}
@article {Bergtholdt-et-al-IJCV-2010,
	title = {A Study of Parts-Based Object Class Detection Using Complete Graphs},
	journal = {Int.~J.~Comp.~Vision},
	volume = {87},
	number = {1-2},
	year = {2010},
	pages = {93-117},
	doi = {10.1007/s11263-009-0209-1},
	url = {http://www.springerlink.com/openurl.asp?genre=article\&id=doi:10.1007/s11263-009-0209-1},
	author = {Bergtholdt, Martin and J{\"o}rg H. Kappes and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@article {Bergtholdt-et-al-IJCV-2010,
	title = {A Study of Parts-Based Object Class Detection Using Complete Graphs},
	journal = {Int. J. Comp. Vision},
	volume = {87},
	number = {1-2},
	year = {2010},
	pages = {93-117},
	doi = {10.1007/s11263-009-0209-1},
	url = {http://www.springerlink.com/openurl.asp?genre=article\&id=doi:10.1007/s11263-009-0209-1},
	author = {Bergtholdt, Martin and Kappes, J{\"o}rg H. and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@mastersthesis {meister_10_study,
	title = {A Study on Ground Truth Generation for Optical Flow},
	year = {2010},
	note = {1},
	school = {University of Heidelberg},
	author = {Stephan Meister}
}
@conference {Bleyer2010,
	title = {Surface stereo with soft segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2010},
	pages = {1570{\textendash}1577},
	abstract = {This paper proposes a new stereo model which encodes the simple assumption that the scene is composed of a few, smooth surfaces. A key feature of our model is the surface-based representation, where each pixel is assigned to a 3D surface (planes or B-splines). This representation enables several important contributions: Firstly, we formulate a higher-order prior which states that pixels of similar appearance are likely to belong to the same 3D surface. This enables to incorporate the very popular color segmentation constraint in a soft and principled way. Secondly, we use a global MDL prior to penalize the number of surfaces. Thirdly, we are able to incorporate, in a simple way, a prior which favors low curvature surfaces. Fourthly, we improve the asymmetric occlusion model by disallowing pixels of the same surface to occlude each other. Finally, we use the known fusion move approach which enables a powerful optimization of our model, despite the infinite number of possible labelings (surfaces). {\textcopyright}2010 IEEE.},
	isbn = {9781424469840},
	issn = {10636919},
	doi = {10.1109/CVPR.2010.5539783},
	author = {Bleyer, Michael and Carsten Rother and Kohli, Pushmeet}
}
@article {berthe2010,
	title = {Three-dimensional, three-component wall-PIV},
	journal = {Exp. Fluids},
	volume = {48},
	year = {2010},
	pages = {online},
	doi = {10.1007/s00348-009-0777-4},
	author = {A. Berthe and Daniel Kondermann and Christensen, C. and Goubergrits, L. and Christoph S. Garbe and Affeld, K. and U. Kertzscher}
}
@conference {Glocker2010,
	title = {TriangleFlow: Optical flow with triangulation-based higher-order likelihoods},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6313 LNCS},
	number = {PART 3},
	year = {2010},
	pages = {272{\textendash}285},
	abstract = {We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photo-consistency cost and a prior on affine motions both modeled in terms of higher-order potential functions. Reasoning jointly over a large set of unknown variables provides more reliable motion estimates and a robust matching criterion. One of the main contributions is that unlike previous region-based methods, we omit the assumption of constant flow. Instead, we consider local affine warps whose likelihood energy can be computed exactly without approximations. This results in a tractable, so-called, higher-order likelihood function. We realize this idea by employing triangulation meshes which immensely reduce the complexity of the problem. Optimization is performed by hierarchical fusion moves and an adaptive mesh refinement strategy. Experiments show that we achieve high-quality motion fields on several data sets including the Middlebury optical flow database. {\textcopyright} 2010 Springer-Verlag.},
	isbn = {364215557X},
	issn = {16113349},
	doi = {10.1007/978-3-642-15558-1_20},
	url = {http://vision.middlebury.edu/flow/},
	author = {Glocker, Ben and Heibel, T. Hauke and Navab, Nassir and Kohli, Pushmeet and Carsten Rother}
}
@mastersthesis {riedl_10_using,
	title = {Using Protein Identification Data to Improve Mass Spectrometry Feature Extraction},
	year = {2010},
	school = {University of Heidelberg},
	author = {Riedl, M.}
}
@article {Heitz-et-al-09,
	title = {Variational fluid flow measurements from image sequences: synopsis and perspectives},
	journal = {Exp.~Fluids},
	volume = {48},
	number = {3},
	year = {2010},
	note = {DOI 10.1007/s00348-009-0778-3},
	pages = {369-393},
	author = {Heitz, D. and M{\'e}min, E. and Christoph Schn{\"o}rr}
}
@article {Heitz-et-al-09,
	title = {Variational fluid flow measurements from image sequences: synopsis and perspectives},
	journal = {Exp. Fluids},
	volume = {48},
	number = {3},
	year = {2010},
	note = {DOI 10.1007/s00348-009-0778-3},
	pages = {369-393},
	author = {Heitz, D. and M{\'e}min, E. and Schn{\"o}rr, C.}
}
@conference {yarlagadda:ECCV:2010,
	title = {Voting by Grouping Dependent Parts},
	booktitle = {Proceedings of the European Conference on Computer Vision},
	volume = {6315},
	year = {2010},
	pages = {197--210},
	publisher = {Springer},
	organization = {Springer},
	author = {Yarlagadda, P. and Monroy, A. and Bj{\"o}rn Ommer}
}
@conference {jaehne2010a,
	title = {Wind/wave-tunnel measurements of chemical enhancement of the carbon dioxide gas exchange rate},
	booktitle = {6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010},
	year = {2010},
	note = {abstract},
	doi = {10.5281/zenodo.14928},
	author = {Bernd J{\"a}hne and Kai Degreif and Joachim Kuss}
}
@incollection {beushausen2009,
	title = {2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications},
	volume = {106},
	year = {2009},
	pages = {155--164},
	publisher = {Springer},
	abstract = {Two-dimensional Molecular-Tagging-Velocimetry (2D-MTV) has been used to investigate velocity fields of liquid flow in a micro mixer. Optical tagging was realized by using caged dye. For the first time patterns were generated by structured laser illumination using optical masks. This allows the generation of nearly any imaginable pattern. The flow induced deformation of the optically written pattern is tracked by imaging of laser induced fluorescence. Quantitative analysis of raw image series is carried out by novel optical flow based techniques. A comparison to the standard technique of uPIV has also been conducted. Additionally Planar Spontaneous Raman Scattering (PSRS) was applied in order to determine concentration fields for mixtures of ethanol and water.},
	doi = {10.1007/978-3-642-01106-1_16},
	author = {Volker Beushausen and Karsten Roetmann and Waldemar Schmunk and Mike Wellhausen and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {W. Nitsche and C. Dobriloff}
}
@incollection {Petra-et-al-09a,
	title = {3D Tomography from Few Projections in Experimental Fluid Mechanics},
	volume = {106},
	year = {2009},
	pages = {63-72},
	publisher = {Springer},
	author = {Stefania Petra and Schr{\"o}der, A. and Christoph Schn{\"o}rr},
	editor = {W. Nitsche and C. Dobriloff}
}
@conference {Shesh2009,
	title = {3D-aware image editing for out of bounds photography},
	booktitle = {Proceedings - Graphics Interface},
	year = {2009},
	pages = {47{\textendash}54},
	abstract = {In this paper, we propose algorithms to manipulate 2D images in a way that is consistent with the 3D geometry of the scene that they capture. We present these algorithms in the context of creating "Out of Bounds" (OOB) images - compelling, depth-rich images generated from single, conventional 2D photographs (fig. 1). Starting from a single image our tool enables rapid OOB prototyping; i.e. the ability to quickly create and experiment with many different variants of the OOB effect before deciding which one best expresses the users{\textquoteright} artistic intentions. We achieve this with a flexible work-flow driven by an intuitive user interface. The rich 3D perception of the final composition is achieved by exploiting two strong cues - occlusions and shadows. A realistic-looking 3D frame is interactively inserted in the scene between segmented foreground objects and the background to generate novel occlusions and enhance the scene{\textquoteright}s perception of depth. This perception is further enhanced by adding new, realistic cast shadows. The key contributions of this paper are: (i) new algorithms for inserting simple 3D objects like frames in 2D images requiring minimal camera calibration, and (ii) new techniques for the realistic synthesis of cast shadows, even for complex 3D objects. These algorithms, although presented for OOB photography, may be directly used in general image composition tasks. With our tool, untrained users can turn ordinary photos into compelling OOB images in seconds. In contrast with existing workflows, at any time the artist can modify any aspect of the composition while avoiding time-consuming pixel painting operations. Such a tool has important commercial applications, and is much more suitable for OOB prototyping than existing image editors.},
	isbn = {9781568814704},
	issn = {07135424},
	url = {http://www.flickr.com/groups/oob/},
	author = {Shesh, Amit and Criminisi, Antonio and Carsten Rother and Smyth, Gavin}
}
@techreport {petra09b,
	title = {Accelerating Constrained SIRT with Applications in Tomographic Particle Image Reconstruction},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9477},
	author = {Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@incollection {jaehne2009,
	title = {Air-sea gas exchange},
	year = {2009},
	note = {invited},
	pages = {147-156},
	publisher = {Elsevier},
	abstract = {The exchange of inert and sparingly soluble gases, including carbon dioxide, methane, and oxygen, between the atmosphere and oceans is controlled by a 20-200 um-thick boundary layer at the top of the ocean. The hydrodynamics in this layer is significantly different from boundary layers at rigid walls since the orbital motion of the waves is of the same order as the velocities in the viscous boundary layer. Laboratory and field measurements show that wind waves and surfactants significantly influence the gas-transfer process. Because of limited experimental techniques, the details of the mechanisms and the structure of the turbulence in the boundary layer at a wavy water surface are still not known. A number of new imaging techniques are described which give direct insight into the transfer processes and promise to trigger substantial theoretical progress in the near future.},
	doi = {10.1016/B978-012374473-9.00642-1},
	author = {Bernd J{\"a}hne},
	editor = {John H. Steele and Karl K. Turekian and Steve A. Thorpe}
}
@article {goerlitz_09_allocation,
	title = {Allocation of particles to development processes},
	journal = {Patent},
	year = {2009},
	author = {G{\"o}rlitz, L. and Fred A. Hamprecht and Staudacher, M.}
}
@article {hayn_09_analysing,
	title = {Analysing spatio-temporal patterns of the global NO<SUB>2</SUB>-distribution retrieved frome GOME satellite observations using a generalized additive model},
	journal = {Atmospheric Chemistry and Physics},
	volume = {9},
	number = {17},
	year = {2009},
	note = {1},
	pages = {9367-9398},
	doi = {10.5194/acp-9-6459-2009},
	author = {Hayn, M. and S. Beirle and Fred A. Hamprecht and Ulrich Platt and Bjoern H. Menze and T. Wagner}
}
@article {jaeger_09_analysis,
	title = {Analysis of Single-Molecule Fluorescence Spectroscopic Data with a Markov Modulated Poisson Process},
	journal = {ChemPhysChem},
	volume = {10:14},
	year = {2009},
	note = {1},
	pages = {2486-2495},
	doi = {10.1002/cphc.200900331},
	author = {J{\"a}ger, M. and Kiel, A. and Herten, D.-P. and Fred A. Hamprecht}
}
@conference {fehr_09_bag,
	title = {A Bag of Features Approach for 3D Shape Retrieval},
	booktitle = {Proceedings of the ISVC 2009, Part I},
	volume = {5875},
	number = {1},
	year = {2009},
	note = {1},
	pages = {34-43},
	publisher = {Springer},
	organization = {Springer},
	author = {Fehr, J. and Burkhardt, H.},
	editor = {G. Bebis and et al.}
}
@mastersthesis {nagel2009,
	title = {Bestimmung der Temperaturdifferenz {\"u}ber die viskose Grenzschicht mit Hilfe des Oberfl{\"a}chenerneuerungsmodells},
	year = {2009},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Leila Nagel}
}
@article {hansen2009bias,
	title = {Bias-correction of regression models: a case study on hERG inhibition},
	journal = {J. Chem. Inf. Model.},
	volume = {49},
	year = {2009},
	pages = {1486{\textendash}1496},
	doi = {http://dx.doi.org/10.1021/ci9000794},
	author = {Hansen, Katja and Rathke, Fabian and Schroeter, Timon and Rast, Georg and Fox, Thomas and Kriegl, Jan M and Mika, Sebastian}
}
@article {ozlu_09_binding,
	title = {Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition},
	journal = {Molecular \& Cellular Proteomics},
	year = {2009},
	note = {1},
	doi = {10.1074/mcp.M900308-MCP200},
	author = {Ozlu, N. and Monigatti, F. and B. Y. Renard and Field, C. M. and Steen, H. and Mitchison, T. J. and Judith Jebanthirajah Steen}
}
@conference {hoernlein2009,
	title = {Boosting shift-invariant features},
	booktitle = {Pattern Recognition},
	volume = {5748},
	year = {2009},
	pages = {121--130},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This work presents a novel method for training shift-invariant features using a Boosting framework. Features performing local convolutions followed by subsampling are used to achieve shift-invariance. Other systems using this type of features, e.g. Convolutional Neural Networks, use complex feed-forward networks with multiple layers. In contrast, the proposed system adds features one at a time using smoothing spline base classifiers. Feature training optimizes base classifier costs. Boosting sample-reweighting ensures features to be both descriptive and independent. Our system has a lower number of design parameters as comparable systems, so adapting the system to new problems is simple. Also, the stage-wise training makes it very scalable. Experimental results show the competitiveness of our approach.},
	doi = {10.1007/978-3-642-03798-6_13},
	author = {Thomas H{\"o}rnlein and Bernd J{\"a}hne and Herbert S{\"u}{\ss}e},
	editor = {Joachim Denzler and Gunther Notni}
}
@conference {kaster_09_classification,
	title = {Classification of Spectroscopic Images in the DIROlab Environment},
	booktitle = {World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany},
	volume = {25/V},
	number = {25050252},
	year = {2009},
	pages = {252--255},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03904-1_70},
	author = {F. O. Kaster and B. Michael Kelm and C. M. Zechmann and M.-A. Weber and Fred A. Hamprecht and Nix, O.},
	editor = {D{\"o}ssel, Olaf and Schlegel, Wolfgang C.}
}
@article {menze_09_comparison,
	title = {A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data},
	journal = {BMC Bioinformatics},
	volume = {10:213},
	year = {2009},
	note = {1},
	doi = {10.1186/1471-2105-10-213},
	author = {Bjoern H. Menze and B. Michael Kelm and Masuch, R. and Himmelreich, U. and Bachert, P. and Petrich, W. and Fred A. Hamprecht}
}
@conference {keraenen:2009,
	title = {Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species},
	booktitle = {Evolution-The Molecular Landscape},
	year = {2009},
	author = {Ker{\"a}nen, S. V. E. and DePace, A. and Luengo Hendriks, C. L. and Fowlkes, C. and Arbelaez, P. and Bj{\"o}rn Ommer and Brox, T. and Henriquez, C. and Wunderlich, Z. and Eckenrode, K. and B. Fischer and Hammonds, A. and Celniker, S. E.}
}
@conference {lauer_09_continuous,
	title = {A Continuous Optimization Framework for Hybrid System Identification},
	booktitle = {submitted to Automatica},
	year = {2009},
	author = {Lauer, F. and Bloch, G. and Vidal, R.}
}
@phdthesis {Gosch-09,
	title = {Contour Methods for View Point Tracking},
	year = {2009},
	publisher = {University of Heidelberg},
	type = {phd},
	url = {http://www.ub.uni-heidelberg.de/archiv/9684/},
	author = {Christian Gosch}
}
@article {Yuan-et-al-JMIV-09,
	title = {Convex Hodge Decomposition and Regularization of Image Flows},
	journal = {J.~Math.~Imag.~Vision},
	volume = {33},
	number = {2},
	year = {2009},
	pages = {169-177},
	author = {Yuan, Jing and Christoph Schn{\"o}rr and Steidl, Gabriele}
}
@conference {Lellmann-et-al-09a,
	title = {Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	volume = {5567},
	year = {2009},
	pages = {150-162},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, J. and J{\"o}rg H. Kappes and Yuan, J. and Florian Becker and Christoph Schn{\"o}rr},
	editor = {Tai, X.-C. and M{\'o}rken, K. and Lie, K.-A. and Lysaker, M.}
}
@conference {lellmann_09_convex2,
	title = {Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	volume = {5567},
	year = {2009},
	note = {1},
	pages = {150-162},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-02256-2_13},
	author = {Lellmann, J. and J{\"o}rg H. Kappes and Yuan, J. and Florian Becker and Christoph Schn{\"o}rr and M{\'o}rken, K. and Lysaker, M.},
	editor = {Tai, X.-C. and Lie, K.-A.}
}
@conference {lellmann_09_convex,
	title = {Convex Optimization for Multi-Class Image Labeling with a Novel Family
of Total Variation Based Regularizers},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan},
	year = {2009},
	note = {1},
	pages = {646-653},
	doi = {10.1109/ICCV.2009.5459176},
	author = {Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@conference {Lellmann2009a,
	title = {Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers},
	booktitle = {IEEE International Conference on Computer Vision (ICCV)},
	year = {2009},
	pages = {646 -- 653},
	author = {Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@article {hering2009,
	title = {Correlated speckle noise in white-light interferometry: theoretical analysis of measurement uncertainty},
	journal = {Appl. Optics},
	volume = {48},
	year = {2009},
	pages = {525--538},
	abstract = {The partial coherent illumination of the specimen, which is required for white-light interferometric measurements of optically rough surfaces, directly leads to speckle. The electric field of such speckle patterns strongly fluctuates in amplitude and phase. This spatially correlated noise influences the accuracy of the measuring device. Although a variety of noise sources in white-light interferometry has been studied in recent years, they do not account for spatial correlation and, hence, they cannot be applied to speckle noise. Thus, we derive a new model enabling quantitative predictions for measurement uncertainty caused by speckle. The model reveals that the accuracy can be attributed mainly to the degree of spatial correlation, i.e., the average size of a speckle, and to the coherence length of the light source. The same parameters define the signal-to-noise ratio in the spectral domain. The model helps to design filter functions that are perfectly adapted to the noise characteristics of the respective device, thus improving the accuracy of postprocessing algorithms for envelope detection. The derived expressions are also compared to numerical simulations and experimental data of two different types of interferometers. These results are a first validation of the theoretical considerations of this article.},
	doi = {10.1364/AO.48.000525},
	author = {Marco Hering and Klaus K{\"o}rner and Bernd J{\"a}hne}
}
@conference {fehr_09_cross-correlation,
	title = {Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches},
	booktitle = {Proceedings of the ISVC 2009, Part I},
	volume = {5875},
	number = {1},
	year = {2009},
	note = {1},
	pages = {287-296},
	publisher = {Springer},
	organization = {Springer},
	author = {Fehr, J. and Reisert, M. and Burkhardt, H.},
	editor = {G. Bebis and et al.}
}
@article {frank_09_denoising,
	title = {Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures},
	journal = {Optical Engineering},
	volume = {48, 077003},
	year = {2009},
	note = {1},
	doi = {10.1117/1.3159869},
	author = {Mario Frank and Matthias Plaue and Fred A. Hamprecht}
}
@article {kelm_09_estimating,
	title = {Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge},
	journal = {IEEE Transaction on Medical Imaging},
	volume = {28:10},
	year = {2009},
	note = {1},
	pages = {1534-1547},
	doi = {10.1109/TMI.2009.2019957},
	author = {B. Michael Kelm and Bjoern H. Menze and Nix, O. and C. M. Zechmann and Fred A. Hamprecht}
}
@conference {baehnisch_09_fast,
	title = {Fast and Accurate 3D Edge Detection for Surface Reconstruction},
	booktitle = {Pattern Recognition},
	volume = {5748},
	year = {2009},
	pages = {111-120},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03798-6},
	author = {B{\"a}hnisch, C. and Stelldinger, P. and Ullrich K{\"o}the}
}
@conference {nagel2009a,
	title = {First results from the 2009 SOPRAN active thermography pilot experiment in the Baltic Sea},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {To improve the parametrization of the transfer velocities a novel active thermography system was developed. At the end of SOPRAN 1 it has been deployed in a pilot experiment at the bow of the research vessel FS Alkor in the Baltic sea. A periodically varying heat flux is applied by a CO2-laser. The transfer velocity is estimated by the amplitude damping and phase shift of the temperature signal in the Fourier domain, gained from the infrared images of the water surface. First results are shown. The system will be used in the second phase of the SOPRAN project on a regular base. Together with eddy covariance measurements deployed from FINO 2, a significant improvement of the parametrization of the heat an gas transfer velocities can be expected.},
	author = {Leila Nagel and Uwe Schimpf and Bernd J{\"a}hne}
}
@article {thieke_09_framework,
	title = {A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy},
	journal = {Strahlentherapie und Onkologie},
	volume = {185},
	number = {Suppl. 1},
	year = {2009},
	pages = {81},
	author = {Thieke, C. and Nix, O. and Koehn, A. and Floca, R. and van Straaten, D. and Hahn, H. and Strauss, L. G. and Siems, U. and Graf, M. and Pruem, H. and Klein, J. and Laue, H. and F. O. Kaster}
}
@techreport {popa09,
	title = {On a general extending and constraining procedure for linear iterative methods},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9761},
	author = {Nicola, A. and Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@techreport {popa09,
	title = {On a general extending and constraining procedure for linear iterative methods},
	year = {2009},
	month = {August},
	institution = {IWR, University of Heidelberg},
	type = {Technical Report},
	url = {http://www.ub.uni-heidelberg.de/archiv/9761},
	author = {Nicola, A. and Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@article {Woodford,
	title = {A Global Perspective on MAP Inference for Low-Level Vision Supplementary material to ICCV submission \# 1536},
	journal = {Optimization},
	year = {2009},
	abstract = {In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, MRFs inherently encourage delta function marginal statistics. By contrast, many low-level vision problems have heavy tailed marginal statistics, making the MRF model unsuitable. In this paper we introduce a more general Marginal Probability Field (MPF), of which the MRF is a special, linear case, and show that convex energy MPFs can be used to encourage arbitrary marginal statistics. We introduce a flexible, extensible framework for effectively optimizing the resulting NP-hard MAP problem , based around dual-decomposition and a modified min-cost flow algorithm, and which achieves global optimality in some instances. We use a range of applications, including image denoising and texture synthesis, to demonstrate the benefits of this class of MPF over MRFs.},
	author = {Woodford, Oliver J}
}
@conference {Lempitsky2009,
	title = {Image segmentation with a bounding box prior},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {277{\textendash}284},
	abstract = {User-provided object bounding box is a simple and popular interaction paradigm considered by many existing interactive image segmentation frameworks. However, these frameworks tend to exploit the provided bounding box merely to exclude its exterior from consideration and sometimes to initialize the energy minimization. In this paper, we discuss how the bounding box can be further used to impose a powerful topological prior, which prevents the solution from excessive shrinking and ensures that the user-provided box bounds the segmentation in a sufficiently tight way. The prior is expressed using hard constraints incorporated into the global energy minimization framework leading to an NP-hard integer program. We then investigate the possible optimization strategies including linear relaxation as well as a new graph cut algorithm called pinpointing. The latter can be used either as a rounding method for the fractional LP solution, which is provably better than thresholding-based rounding, or as a fast standalone heuristic. We evaluate the proposed algorithms on a publicly available dataset, and demonstrate the practical benefits of the new prior both qualitatively and quantitatively. {\textcopyright}2009 IEEE.},
	isbn = {9781424444205},
	doi = {10.1109/ICCV.2009.5459262},
	author = {Lempitsky, Victor and Kohli, Pushmeet and Carsten Rother and Sharp, Toby}
}
@conference {kiefhaber2009,
	title = {Instrument development for combined height/slope/curvature statistics measurements of wind water waves in the field},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {An optical method for the measurement of slope statistics of capillary and short gravity wind waves on the ocean is currently under development. Specular reflections from infrared LED light sources are observed on the water surface with a stereo camera setup. The principle is similar to Cox \& Munk{\textquoteright}s derivation of slope statistics from photographs of the Sun{\textquoteright}s glitter. Fractional area of the speckles in the image is related to the local slope probability distribution, speckle size and brightness is correlated with surface curvature, and the local water height can be inferred from parallax in the stereo images. The instrument measures slope statistics locally, making it a beneficial appendix to air-sea interaction measurements. It is scheduled to accompany heat transfer experiments in the Baltic Sea in phase II of the SOPRAN project.},
	author = {Daniel Kiefhaber and Roland Rocholz and Bernd J{\"a}hne}
}
@conference {Breitenreicher-Schnoerr09a,
	title = {Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009)},
	volume = {5681},
	year = {2009},
	pages = {274-287},
	publisher = {Springer},
	organization = {Springer},
	url = {http://www.springerlink.com/content/1470n7577713069q/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr},
	editor = {Daniel Cremers and Boykov, Y. and Schmidt, F. R. and Blake, A.}
}
@conference {Breitenreicher-Schnoerr09a,
	title = {Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009)},
	series = {LNCS},
	volume = {5681},
	year = {2009},
	pages = {274-287},
	publisher = {Springer},
	organization = {Springer},
	url = {http://www.springerlink.com/content/1470n7577713069q/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr},
	editor = {Daniel Cremers and Boykov, Y. and Blake, A. and Schmidt, F. R.}
}
@conference {Vicente2009,
	title = {Joint optimization of segmentation and appearance models},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {755{\textendash}762},
	abstract = {Many interactive image segmentation approaches use an objective function which includes appearance models as an unknown variable. Since the resulting optimization problem is NP-hard the segmentation and appearance are typically optimized separately, in an EM-style fashion. One contribution of this paper is to express the objective function purely in terms of the unknown segmentation, using higher-order cliques. This formulation reveals an interesting bias of the model towards balanced segmentations. Furthermore, it enables us to develop a new dual decomposition optimization procedure, which provides additionally a lower bound. Hence, we are able to improve on existing optimizers, and verify that for a considerable number of real world examples we even achieve global optimality. This is important since we are able, for the first time, to analyze the deficiencies of the model. Another contribution is to establish a property of a particular dual decomposition approach which involves convex functions depending on foreground area. As a consequence, we show that the optimal decomposition for our problem can be computed efficiently via a parametric maxflow algorithm. {\textcopyright}2009 IEEE.},
	isbn = {9781424444205},
	doi = {10.1109/ICCV.2009.5459287},
	author = {Vicente, Sara and Kolmogorov, Vladimir and Carsten Rother}
}
@conference {fehr_09_local,
	title = {Local Rotation Invariant Patch Descriptors for 3D Vector Fields},
	booktitle = {to be submitted},
	year = {2009},
	author = {Fehr, J. and Burkhardt, H.}
}
@techreport {jaehne2009techber,
	title = {Methoden zur schnellen und genauen Messung der Gasaustauschrate im Aelotron mit Gasen niedriger und hoher L{\"o}slichkeit},
	year = {2009},
	institution = {Forschungsgruppe Bildverarbeitung, Interdisziplin{\"a}res Zentrum f{\"u}r Wissenschaftliches Rechnen und Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg},
	author = {Bernd J{\"a}hne}
}
@phdthesis {kondermann2009a,
	title = {Modular Optical Flow Estimation with Applications to Fluid Dynamics},
	year = {2009},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/10184},
	author = {Daniel Kondermann}
}
@phdthesis {kondermann2009a,
	title = {Modular Optical Flow Estimation with Applications to Fluid Dynamics},
	year = {2009},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00010184},
	author = {Kondermann, Daniel}
}
@conference {ommer:ICCV:2009,
	title = {Multi-scale Object Detection by Clustering Lines},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {484--491},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Bj{\"o}rn Ommer and Malik, J.}
}
@conference {hanselmann_09_multivariate,
	title = {Multivariate Watershed Segmentation of Compositional Data},
	booktitle = {Proceedings of the 15th International Conference on Discrete Geometry for Computer Imagery (DGCI), in press},
	volume = {5810},
	year = {2009},
	note = {1},
	pages = {180-192},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-04397-0},
	author = {Hanselmann, M. and Ullrich K{\"o}the and B. Y. Renard and Kirchner, M. and Heeren, R. M. A. and Fred A. Hamprecht}
}
@article {trittler_09_near-optimum,
	title = {Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation},
	journal = {Digital Signal Processing},
	volume = {19},
	year = {2009},
	note = {1},
	pages = {628-639},
	doi = {10.1016/j.dsp.2008.10.003},
	author = {Trittler, S. and Fred A. Hamprecht}
}
@conference {Singaraju2009,
	title = {New appearance models for natural image matting},
	booktitle = {2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009},
	volume = {2009 IEEE},
	year = {2009},
	pages = {659{\textendash}666},
	abstract = {Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene{\textquoteright}s appearance is necessary. Existing methods that provide a closed form solution to this problem, assume that the colors of the foreground and background layers are locally linear. In this paper, we show that such models can be an overfit when the colors of the two layers are locally constant. We derive new closed form expressions in such cases, and show that our models are more compact than existing ones. In particular, the null space of our cost function is a subset of the null space constructed by existing approaches. We discuss the bias towards specific solutions for each formulation. Experiments on synthetic and real data confirm that our compact models estimate alpha mattes more accurately than existing techniques, without the need of additional user interaction. {\textcopyright} 2009 IEEE.},
	isbn = {9781424439935},
	doi = {10.1109/CVPRW.2009.5206491},
	author = {Singaraju, Dheeraj and Carsten Rother and Rhemann, Christoph}
}
@conference {richter2009a,
	title = {New schemes for fast measurements of air-sea gas exchange in the Aeolotron lab},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {A number of novel experimental techniques to measure the gas transfer rates of volatile tracers in the wind/wave flume Aeolotron were developed. With the aid of the recently remodeled air conditioning system, the temperature, humidity and air flush rate could be controlled precisely in an open (exchange of air) and closed circulation system. The newly developed experimental schemes were optimized to measure gas transfer rates of half a dozen chemical species simultaneously using FTIR and UV spectroscopy together with thermographic measurements and wind wave measurements. These new experimental schemes are fast enough (temporal resolution less than a minute) to perform measurements in non-stationary and transient conditions. Results of the first series of measurements include precise measurements of the Schmidt number exponent at clean water surfaces.},
	author = {Kerstin E. Richter and Bernd J{\"a}hne}
}
@mastersthesis {mbock2009,
	title = {A Novel Algorithm for Motion Estimation with Explicit Consideration of Perturbations},
	year = {2009},
	school = {University of Heidelberg},
	author = {Mbock, K.}
}
@booklet {jaehne2009a,
	title = {Objektive Kriterien unterst{\"u}tzen die anwendungsorientierte Auswahl einer Kamera},
	year = {2009},
	note = {VDMA, Frankfurt},
	url = {http://www.vdma-verlag.com/home/p464.html},
	author = {Bernd J{\"a}hne}
}
@conference {mischler2009,
	title = {Optical method for measuring size-distribution and lifetime of bubbles},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {A high resolution imaging method for measuring the size distribution of bubbles entrained by water jets between 10-1000 um in diameter is presented. The bubble clouds are similar to those produced by breaking water waves. The goal of these measurements is the validation of models for bubble mediated gas transfer. A Depth from Focus technique is used to determine the 3D position and the size of the bubbles at the same time. This yields the size-distribution and its dependence on depth. Additionally the velocity of the bubbles is estimated using repeatedly exposed images. To evaluate the lifetime of bubbles a high-speed camera is used to count the bubbles crossing the surface. The measuring principle, image analysis and first results are presented.},
	author = {Wolfgang Mischler and Roland Rocholz and Bernd J{\"a}hne}
}
@conference {Rhemann2009,
	title = {A perceptually motivated online benchmark for image matting},
	booktitle = {2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009},
	volume = {2009 IEEE},
	year = {2009},
	pages = {1826{\textendash}1833},
	abstract = {The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective fields. This paper introduces such a benchmark for image matting. There are three key factors for a successful benchmarking system: (a) a challenging, high-quality ground truth test set; (b) an online evaluation repository that is dynamically updated with new results; (c) perceptually motivated error functions. Our new benchmark strives to meet all three criteria. We evaluated several matting methods with our benchmark and show that their performance varies depending on the error function. Also, our challenging test set reveals problems of existing algorithms, not reflected in previously reported results. We hope that our effort will lead to considerable progress in the field of image matting, and welcome the reader to visit our benchmark at www.alphamatting.com. {\textcopyright} 2009 IEEE.},
	isbn = {9781424439935},
	doi = {10.1109/CVPRW.2009.5206503},
	url = {www.alphamatting.com.},
	author = {Rhemann, Christoph and Carsten Rother and Wang, Jue and Gelautz, Margrit and Kohli, Pushmeet and Rott, Pamela}
}
@conference {Rhemann2009a,
	title = {A perceptually motivated online benchmark for image matting},
	booktitle = {2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009},
	volume = {2009 IEEE},
	year = {2009},
	pages = {1826{\textendash}1833},
	abstract = {The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective fields. This paper introduces such a benchmark for image matting. There are three key factors for a successful benchmarking system: (a) a challenging, high-quality ground truth test set; (b) an online evaluation repository that is dynamically updated with new results; (c) perceptually motivated error functions. Our new benchmark strives to meet all three criteria. We evaluated several matting methods with our benchmark and show that their performance varies depending on the error function. Also, our challenging test set reveals problems of existing algorithms, not reflected in previously reported results. We hope that our effort will lead to considerable progress in the field of image matting, and welcome the reader to visit our benchmark at www.alphamatting.com. {\textcopyright} 2009 IEEE.},
	keywords = {Benchmark, Evaluation, Matting},
	isbn = {9781424439935},
	doi = {10.1109/CVPRW.2009.5206503},
	url = {www.alphamatting.com.},
	author = {Rhemann, Christoph and Carsten Rother and Wang, Jue and Gelautz, Margrit and Kohli, Pushmeet and Rott, Pamela}
}
@conference {Rhemann2009b,
	title = {A perceptually motivated online benchmark for image matting},
	booktitle = {2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009},
	volume = {2009 IEEE},
	year = {2009},
	pages = {1826{\textendash}1833},
	abstract = {The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective fields. This paper introduces such a benchmark for image matting. There are three key factors for a successful benchmarking system: (a) a challenging, high-quality ground truth test set; (b) an online evaluation repository that is dynamically updated with new results; (c) perceptually motivated error functions. Our new benchmark strives to meet all three criteria. We evaluated several matting methods with our benchmark and show that their performance varies depending on the error function. Also, our challenging test set reveals problems of existing algorithms, not reflected in previously reported results. We hope that our effort will lead to considerable progress in the field of image matting, and welcome the reader to visit our benchmark at www.alphamatting.com. {\textcopyright} 2009 IEEE.},
	isbn = {9781424439935},
	doi = {10.1109/CVPRW.2009.5206503},
	author = {Rhemann, Christoph and Carsten Rother and Wang, Jue and Gelautz, Margrit and Kohli, Pushmeet and Rott, Pamela}
}
@conference {schmidt2009,
	title = {A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light},
	booktitle = {3rd Workshop on Dynamic 3-D Imaging},
	volume = {5742},
	year = {2009},
	pages = {1--15},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We have developed a physical model of continuous-wave Time-of-Flight cameras, which focuses on a realistic reproduction of the sensor data. The derived simulation gives the ability to simulate data acquired by a ToF system with low computational effort. The model is able to use an arbitrary optical excitation and to simulate the sampling of a target response by a two-tap sensor, which can use any switching function. Nonlinear photo response and pixel saturation, as well as spatial variations from pixel to pixel like photo response non-uniformity (PRNU) and dark signal non-uniformity (DSNU) can be modeled. Also the influence of interfering background light and on-sensor suppression of ambient light can be simulated. The model was verified by analyzing two scenarios: The cameras response to an increasing, homogeneous irradiation as well as the systematic phase deviation caused by higher harmonics of the optical excitation. In both scenarios the model gave a precise reproduction of the observed data.},
	doi = {10.1007/978-3-642-03778-8_1},
	author = {Schmidt, Mirko and Bernd J{\"a}hne},
	editor = {Reinhard Koch and Andreas Kolb}
}
@conference {meine_09_pixel,
	title = {Pixel Approximation Errors in Common Watershed Algorithms},
	booktitle = {Discrete Geometry for Computer Imagery},
	volume = {5810},
	year = {2009},
	note = {1},
	pages = {193-202},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-04397-0},
	author = {Meine, H. and Ullrich K{\"o}the and Stelldinger, P.}
}
@conference {meine_09_topological,
	title = {Pixel Approximation Errors in Common Watershed Algorithms},
	booktitle = {Discrete Geometry for Computer Imagery},
	volume = {5810},
	year = {2009},
	pages = {193-202},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-04397-0},
	author = {Meine, H. and Ullrich K{\"o}the and Stelldinger, P.}
}
@phdthesis {kondermann2009,
	title = {Postprocessing and Restoration of Optical Flows},
	year = {2009},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9681},
	author = {Claudia Kondermann}
}
@phdthesis {kondermann2009,
	title = {Postprocessing and Restoration of Optical Flows},
	year = {2009},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00009681},
	author = {Kondermann, C.}
}
@article {goerlitz_09_processing,
	title = {Processing Spectral Data},
	journal = {Surface and Interface Analysis},
	volume = {41},
	year = {2009},
	note = {1},
	pages = {636-644},
	doi = {10.1002/sia.3066},
	author = {G{\"o}rlitz, L. and Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht}
}
@mastersthesis {kassemeyer_09_quantification,
	title = {Quantification of Tumour Angiogenesis Using Pattern Recognition},
	year = {2009},
	school = {University of Heidelberg},
	author = {Kassemeyer, S.}
}
@conference {andres_09_quantitative,
	title = {Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times},
	booktitle = {Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings},
	volume = {5748},
	year = {2009},
	note = {1},
	pages = {502-511},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03798-6},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Bonea, A. and Nadler, B. and Fred A. Hamprecht}
}
@conference {erz2009,
	title = {Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras},
	booktitle = {3rd Workshop on Dynamic 3-D Imaging},
	volume = {5742},
	year = {2009},
	pages = {28--41},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This paper proposes to extend the EMVA 1288 standard to characterize the properties and noise of image sensors for ToF cameras. The concepts for radiometric and spectrometric sensitivities were extended for intensity images recorded by lock-in pixels. The characterization of the distance information was performed by describing the phase shift analogous to intensities. Results of sensitivity and noise measurements are presented for two ToF cameras: PMDTec CamCube and MESA Imaging SR3101. Both cameras had no intrinsic filter, so the quantum efficiency could be measured from UV to IR. The noise in the phase measurement could be related to the noise in the intensity.},
	doi = {10.1007/978-3-642-03778-8_3},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {Reinhard Koch and Andreas Kolb}
}
@phdthesis {gruetzmann2009,
	title = {Reconstruction of Moving Surfaces of Revolution from Sparse 3-D Measurements using a Stereo Camera and Structured Light},
	year = {2009},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	abstract = {The aim of this thesis is the development and analysis of an algorithmic framework for the reconstruction of a parametric model for a moving surface of revolution from a sequence of sparse 3-D point clouds. A new measurement device with a large field of view that allows for acquisition of three-dimensional data in challenging environments is utilized. During the measurement process, the observed object may be subject to motion which can be described in terms of an analytical model. The proposed method is developed and analyzed, along with an application for the surface reconstruction of a wheel. It is shown that the precision of the coarse surface model independently fitted to each measurement can be significantly improved by fitting a global model to all measurements of the sequence simultaneously. The global model also takes into account the object{\textquoteright}s motion. The three-dimensional point clouds are acquired by an optical device which consists of a stereo camera and an illumination unit projecting a dot pattern. A rather high density of surface points within the camera{\textquoteright}s field of view is established by means of multiple laser projectors. Through an elaborate calibration procedure of the stereo camera and the projector, and by utilizing the trifocal epipolar constraints of the measurement device, a high accuracy in the three-dimensional point cloud is achieved.},
	url = {http://www.ub.uni-heidelberg.de/archiv/10162},
	author = {Gr{\"u}tzmann, Andreas}
}
@article {ommer:IJCV:2009,
	title = {Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera},
	journal = {International Journal of Computer Vision},
	volume = {83},
	number = {1},
	year = {2009},
	pages = {57--71},
	publisher = {Springer},
	author = {Bj{\"o}rn Ommer and Mader, T. and J. M. Buhmann}
}
@article {staudacher_09_selbstadaptivitaet,
	title = {Self Adjustment of Scanning Electron Microscopes / Selbstadaptivit{\"a}t von Rasterelektronenmikroskopen},
	journal = {Patent, Patent Number  WO2009062781A1},
	year = {2009},
	author = {Staudacher, M. and Fred A. Hamprecht and G{\"o}rlitz, L.}
}
@mastersthesis {greis_09_semi-automatic,
	title = {Semi-automatic analysis of high-information-content neurobiological image data},
	year = {2009},
	school = {University of Heidelberg},
	author = {Greis, J.}
}
@mastersthesis {kumpf2009,
	title = {Sichtfelddesign mittels Freiformspiegel f{\"u}r katadioptrische Systeme},
	year = {2009},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Kumpf, Tobias}
}
@incollection {garbe2009,
	title = {Spatiotemporal image analysis for flow measurements},
	volume = {106},
	year = {2009},
	pages = {289--305},
	publisher = {Springer},
	abstract = {In this chapter, a framework will be presented for measuring and modeling transport processes using novel visualization techniques and extended optical flow techniques for digital image sequence analysis. In this way, parameters besides the 2-D xy velocity components can be extracted concurrently from the acquired 2-D image sequences, such as wall shear rates and momentum transport close to boundaries, diffusion coefficients, and depth z in addition to the z velocity components. Depending on the application, particularly the temporal regularization can be enhanced, leading to stabilization of results and reduction of spatial regularization. This is frequently of high importance for flows close to boundaries. Results from applications will be presented from the fields of environmental and life sciences as well as from engineering.},
	doi = {10.1007/978-3-642-01106-1_29},
	author = {Christoph S. Garbe and Daniel Kondermann and Markus Jehle and Bernd J{\"a}hne},
	editor = {W. Nitsche and C. Dobriloff}
}
@conference {lauer_09_spectral,
	title = {Spectral Clustering of Linear Subspaces for Motion Segmentation},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, in press},
	year = {2009},
	note = {1},
	pages = {678-685},
	doi = {10.1109/ICCV.2009.5459173},
	author = {Lauer, F. and Christoph Schn{\"o}rr}
}
@conference {Lauer-Schnoerr-09a,
	title = {Spectral Clustering of Linear Subspaces for Motion Segmentation},
	booktitle = {Proc.~IEEE Int.~Conf.~Computer Vision (ICCV{\textquoteright}09)},
	year = {2009},
	note = {accepted},
	author = {Lauer, F. and Christoph Schn{\"o}rr}
}
@conference {Lauer-Schnoerr-09a,
	title = {Spectral Clustering of Linear Subspaces for Motion Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Computer Vision (ICCV{\textquoteright}09)},
	year = {2009},
	note = {accepted},
	month = {Sept. 29-Oct. 2},
	address = {Kyoto, Japan},
	author = {Lauer, F. and Schn{\"o}rr, C.}
}
@conference {Bleyer2009,
	title = {A stereo approach that handles the matting problem via imagewarping},
	booktitle = {2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009},
	volume = {2009 IEEE},
	year = {2009},
	pages = {501{\textendash}508},
	abstract = {We propose an algorithm that simultaneously extracts disparities and alpha matting information given a stereo image pair. Our method divides the reference image into a set of overlapping, partially transparent color segments. Each segment pixel is assigned an alpha value and color. The disparity inside the segment is modeled via a plane. The goodness of alphas, colors and disparity planes is measured by a new energy function. Its basic idea is to use the three parameters for generating artificial views representing the left and right images. If alphas, colors and disparity planes are correct, these artificial images should be very similar to the real ones. For generating the artificial right view, we warp all pixels of the left into the geometry of the right image using the disparity planes. We introduce the assumption of constant solidity in order to correctly model how pixels{\textquoteright} alpha values are affected by the warping operation. Experimental results on the Middlebury set show that our algorithm gives good results in comparison to the state-of-the-art in stereo matching. {\textcopyright}2009 IEEE.},
	keywords = {Alpha Matting, Stereo Matching, Stereo Matting},
	isbn = {9781424439935},
	doi = {10.1109/CVPRW.2009.5206656},
	author = {Bleyer, Michael and Gelautz, Margrit and Carsten Rother and Rhemann, Christoph}
}
@techreport {Singaraju,
	title = {Supplementary material for New Appearance Models for Image Matting},
	year = {2009},
	author = {Singaraju, D and Carsten Rother and Rhemann, C}
}
@article {Shotton2009,
	title = {TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context},
	journal = {International Journal of Computer Vision},
	volume = {81},
	number = {1},
	year = {2009},
	pages = {2{\textendash}23},
	abstract = {This paper details a new approach for learning a discriminative model of object classes, incorporating texture, layout, and context information efficiently. The learned model is used for automatic visual understanding and semantic segmentation of photographs. Our discriminative model exploits texture-layout filters, novel features based on textons, which jointly model patterns of texture and their spatial layout. Unary classification and feature selection is achieved using shared boosting to give an efficient classifier which can be applied to a large number of classes. Accurate image segmentation is achieved by incorporating the unary classifier in a conditional random field, which (i) captures the spatial interactions between class labels of neighboring pixels, and (ii) improves the segmentation of specific object instances. Efficient training of the model on large datasets is achieved by exploiting both random feature selection and piecewise training methods. High classification and segmentation accuracy is demonstrated on four varied databases: (i) the MSRC 21-class database containing photographs of real objects viewed under general lighting conditions, poses and viewpoints, (ii) the 7-class Corel subset and (iii) the 7-class Sowerby database used in He et al. (Proceeding of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 695-702, June 2004), and (iv) a set of video sequences of television shows. The proposed algorithm gives competitive and visually pleasing results for objects that are highly textured (grass, trees, etc.), highly structured (cars, faces, bicycles, airplanes, etc.), and even articulated (body, cow, etc.). {\textcopyright} 2007 Springer Science+Business Media, LLC.},
	keywords = {Boosting, Conditional random field, Context, image understanding, Layout, Object recognition, Piecewise training, Segmentation, Semantic image segmentation, Textons, Texture},
	issn = {09205691},
	doi = {10.1007/s11263-007-0109-1},
	url = {http://jamie.shotton.org/work/code.html},
	author = {Shotton, Jamie and Winn, John and Carsten Rother and Criminisi, Antonio}
}
@article {frank_09_theoretical,
	title = {Theoretical and Experimental Error Analysis of Continuous-Wave Time-Of-Flight Range Cameras},
	journal = {Optical Engineering},
	volume = {48, 013602},
	year = {2009},
	note = {1},
	doi = {10.1117/1.3070634},
	author = {Mario Frank and Matthias Plaue and Holger Rapp and Ullrich K{\"o}the and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@article {frank2009,
	title = {Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras},
	journal = {Opt. Eng.},
	volume = {48},
	year = {2009},
	pages = {013602},
	abstract = {We offer a formal investigation of the measurement principle of time-of-flight 3-D cameras using correlation of amplitude-modulated continuous-wave signals. These sensors can provide both depth maps and IR intensity pictures simultaneously and in real time. We examine the theory of the data acquisition in detail. The variance of the range measurements is derived in a concise way and we show that the computed range follows an offset normal distribution. The impact of quantization of that distribution is discussed. All theoretically investigated errors like the behavior of the variance, depth bias, saturation and quantization effects are supported by experimental results.},
	doi = {10.1117/1.3070634},
	author = {Mario Frank and Matthias Plaue and Holger Rapp and Ullrich K{\"o}the and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@conference {garbe2009b,
	title = {Thermographic measurements of the temperature difference across the air- water interface: results from experimental and numerical studies},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {Thermography is a powerful tool for analyzing spatially and temporally resolved the transport of heat across the air-water interface. In this contribution, measurements of the temperature difference across the aqueous boundary layer will be presented. These measurements are based on a statistical analysis of the temperature distribution directly at the water surface. This technique will be presented together with results of measurements conducted in the laboratory and in the field. These thermographic measurements are compared to measurements with standard techniques. Also, the same statistical analysis is performed on data from direct numerical simulation of a wind-driven, aqueous turbulent boundary-layer flow. The agreement between thermography and simulation is very good. Moreover, the full 3D simulations are used for a thorough analysis and validation of the thermographic technique and help to discuss the results.},
	author = {Christoph S. Garbe and Leila Nagel and Hung, L. -P. and Tsai, W. -T.}
}
@techreport {petra09c,
	title = {TomoPIV meets Compressed Sensing},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9760},
	author = {Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Petra-Schnoerr-PUMA-10,
	title = {TomoPIV meets Compressed Sensing},
	journal = {Pure Math.~Appl.},
	volume = {20},
	number = {1-2},
	year = {2009},
	pages = {49 -- 76},
	url = {http://www.mat.unisi.it/newsito/puma/public_html/contents.php},
	author = {Stefania Petra and Christoph Schn{\"o}rr}
}
@techreport {petra09c,
	title = {TomoPIV meets Compressed Sensing},
	year = {2009},
	month = {August},
	institution = {IWR, University of Heidelberg},
	type = {Technical Report},
	url = {http://www.ub.uni-heidelberg.de/archiv/9760},
	author = {Petra, S. and Schn{\"o}rr, C.}
}
@article {Petra-Schnoerr-PUMA-10,
	title = {TomoPIV meets Compressed Sensing},
	journal = {Pure Math. Appl.},
	volume = {20},
	number = {1-2},
	year = {2009},
	pages = {49 {\textendash} 76},
	url = {http://www.mat.unisi.it/newsito/puma/public_html/contents.php},
	author = {Petra, S. and Schn{\"o}rr, C.}
}
@conference {gianniotis_09_topographic,
	title = {Topographic Mapping of Astronomical Light Curves via a Physically
Inspired Probabilistic Model},
	booktitle = {Proceedings of ICANN 2009},
	year = {2009},
	note = {1},
	pages = {567-576},
	doi = {10.1007/978-3-642-04274-4_59},
	author = {Gianniotis, N. and Ti\&ntilde;o, P. and Spreckley, S. and Raychaudhury, S.}
}
@conference {Yuan-et-al-09a,
	title = {Total-Variation Based Piecewise Affine Regularization},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	volume = {5567},
	year = {2009},
	pages = {552-564},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, Jing. and Christoph Schn{\"o}rr and Steidl, Gabriele},
	editor = {Tai, X.-C. and M{\'o}rken, K. and Lie, K.-A. and Lysaker, M.}
}
@conference {Yuan-et-al-09a,
	title = {Total-Variation Based Piecewise Affine Regularization},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	series = {LNCS},
	volume = {5567},
	year = {2009},
	pages = {552-564},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, Jing. and Christoph Schn{\"o}rr and Steidl, Gabriele},
	editor = {Tai, X.-C. and M{\'o}rken, K. and Lysaker, M. and Lie, K.-A.}
}
@conference {yarlagadda:SCCH:2009,
	title = {Towards a Computer-based Understanding of Medieval Images},
	booktitle = {Scientific Computing \& Cultural Heritage},
	year = {2009},
	pages = {89--97},
	publisher = {Springer},
	organization = {Springer},
	url = {http://link.springer.com/chapter/10.1007\%2F978-3-642-28021-4_10$\#$page-1},
	author = {Yarlagadda, P. and Monroy, A. and Bernd Carque and Bj{\"o}rn Ommer}
}
@article {hanselmann_09_towards,
	title = {Towards Digital Staining using Imaging Mass Spectrometry and Random Forests},
	journal = {Journal of Proteome Research},
	volume = {8},
	year = {2009},
	note = {1},
	pages = {3558-3567},
	doi = {10.1021/pr900253y},
	author = {Hanselmann, M. and Ullrich K{\"o}the and Kirchner, M. and B. Y. Renard and Amstalden, E. R. and Glunde, K. and Heeren, R. M. A. and Fred A. Hamprecht}
}
@booklet {jaehne2009b,
	title = {Transparency for Industrial Cameras and Sensors},
	year = {2009},
	url = {http://www.gitverlag.com/de/print/4/18/issues/2009/3381.html},
	author = {Bernd J{\"a}hne and Schwarzkopf, Patrick}
}
@conference {garbe2009a,
	title = {Transport of dust across the Sahara from satellite image sequence analysis},
	booktitle = {Eos Transactions},
	volume = {90},
	year = {2009},
	note = {Fall Meet. Suppl.},
	pages = {EP21A-0565},
	author = {Christoph S. Garbe and Flatow, F. and Klinger, M. and Schepanski, K. and Tegen, I. and Rannacher, R.}
}
@conference {garbe2009c,
	title = {Transport of Sahara dust into the Atlantic Ocean from satellite image sequence analysis},
	booktitle = {SOLAS Open Science Conference},
	year = {2009},
	pages = {27},
	abstract = {In this contribution, image processing techniques in conjunction with efficient numerical solvers will be used for measuring the transport of atmospheric dust originating in the Sahara to the Atlantic Ocean. Mineral dust aerosols are an important component of the Earth{\textquoteright}s climate system through a number of direct and indirect influences, and have a strong effect on terrestrial and oceanic biogeochemical cycles. We use Meteosat Second Generation (MSG) infra-red (IR) difference dust index images for visualizing dust plumes in the atmosphere. For every 15-minute scan the dust index is computed basing on the difference of the brightness temperatures measured by the Spinning enhanced Visible and Infra-Red Imager (SEVIRI) at the wavelengths centred at 8.7 m, 10.8 m and 12.0 m. Sinks and sources of the plumes are detected and trajectories computed. Newly developed techniques for computing optical flows and transport parameters are employed. Through the estimation of these transport parameters, dust deposition in the ocean can be quantified. We will present results for a wide range of events, highlighting the capabilities of our approach.},
	author = {Christoph S. Garbe and Flatow, F. and Klinger, M. and Schepanski, K. and Tegen, I. and Rannacher, R.}
}
@incollection {Vlasenko-Schnoerr-09a,
	title = {Variational Approaches for Model-Based PIV and Visual Fluid Analysis},
	volume = {106},
	year = {2009},
	pages = {247-256},
	publisher = {Springer},
	author = {Vlasenko, A. and Christoph Schn{\"o}rr},
	editor = {W. Nitsche and C. Dobriloff}
}
@incollection {Vlasenko-Schnoerr-09a,
	title = {Variational Approaches for Model-Based PIV and Visual Fluid Analysis},
	volume = {106},
	year = {2009},
	pages = {247-256},
	publisher = {Springer},
	author = {Vlasenko, A. and Schn{\"o}rr, C.},
	editor = {Nitsche, W. and C. Dobriloff}
}
@phdthesis {Becker-diss-2009,
	title = {Variational Correlation and Decomposition Methods for Particle Image Velocimetry},
	year = {2009},
	publisher = {Heidelberg University, Faculty of Mathematics and Computer Sciences},
	type = {phddoctoral thesis},
	address = {Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/9766/},
	author = {Florian Becker}
}
@article {gianniotis_09_visualization,
	title = {Visualization of Structured Data via Generative Probabilistic Modeling},
	journal = {Pattern Recognition},
	volume = {5400},
	year = {2009},
	pages = {118-137},
	publisher = {Springer},
	doi = {10.1007/978-3-642-01805-3_7},
	author = {Gianniotis, N. and Ti\&ntilde;o, P.}
}
@incollection {berthe2009,
	title = {The wall PIV measurement technique for near wall flow fields in biofliud mechanics},
	volume = {106},
	year = {2009},
	pages = {11--20},
	publisher = {Springer},
	abstract = {This chapter describes the development of a new time resolved 3D PIV technique for near wall flow field measurements. This measurement technique, called wall-PIV, is based on Beer-Lambert{\textquoteright}s law. It substitutes the classical PIV laser sheet by a diffuse, monochromatic full-field illumination that is limited to the near wall region by an absorbing molecular dye in the fluid. Aimed range of applications is the investigation of flow fields next to one- or two dimensionally curved, possibly flexing surfaces. The three dimensional three component flow estimation uses a new optical flow algorithm, based on particle trajectories. Results of the measurement technique{\textquoteright}s application on a displacement pediatric blood pump are presented.},
	doi = {10.1007/978-3-642-01106-1_2},
	author = {A. Berthe and Daniel Kondermann and Bernd J{\"a}hne and U. Ketzscher},
	editor = {W. Nitsche and C. Dobriloff}
}
@conference {Nguyen2009,
	title = {Weakly supervised discriminative localization and classification: A joint learning process},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {1925{\textendash}1932},
	abstract = {Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the maximum classifier score is used for class decision. Traditionally, the subwindow classifiers are trained on a large collection of examples manually annotated with masks or bounding boxes. The reliance on time-consuming human labeling effectively limits the application of these methods to problems involving very few categories. Furthermore, the human selection of the masks introduces arbitrary biases (e.g. in terms of window size and location) which may be suboptimal for classification. In this paper we propose a novel method for learning a discriminative subwindow classifier from examples annotated with binary labels indicating the presence of an object or action of interest, but not its location. During training, our approach simultaneously localizes the instances of the positive class and learns a subwindow SVM to recognize them. We extend our method to classification of time series by presenting an algorithm that localizes the most discriminative set of temporal segments in the signal. We evaluate our approach on several datasets for object and action recognition and show that it achieves results similar and in many cases superior to those obtained with full supervision. {\textcopyright}2009 IEEE.},
	isbn = {9781424444205},
	doi = {10.1109/ICCV.2009.5459426},
	author = {Nguyen, Minh Hoai and Torresani, Lorenzo and De La Torre, Fernando and Carsten Rother}
}
@conference {Nguyen2009a,
	title = {Weakly supervised discriminative localization and classification: A joint learning process},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {1925{\textendash}1932},
	abstract = {Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the maximum classifier score is used for class decision. Traditionally, the subwindow classifiers are trained on a large collection of examples manually annotated with masks or bounding boxes. The reliance on time-consuming human labeling effectively limits the application of these methods to problems involving very few categories. Furthermore, the human selection of the masks introduces arbitrary biases (e.g. in terms of window size and location) which may be suboptimal for classification. In this paper we propose a novel method for learning a discriminative subwindow classifier from examples annotated with binary labels indicating the presence of an object or action of interest, but not its location. During training, our approach simultaneously localizes the instances of the positive class and learns a subwindow SVM to recognize them. We extend our method to classification of time series by presenting an algorithm that localizes the most discriminative set of temporal segments in the signal. We evaluate our approach on several datasets for object and action recognition and show that it achieves results similar and in many cases superior to those obtained with full supervision. {\textcopyright}2009 IEEE.},
	isbn = {9781424444205},
	doi = {10.1109/ICCV.2009.5459426},
	author = {Nguyen, Minh Hoai and Torresani, Lorenzo and De La Torre, Fernando and Carsten Rother}
}
@article {renard_09_when,
	title = {When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing},
	journal = {Proteomics},
	volume = {9},
	year = {2009},
	note = {1},
	pages = {4978-4984},
	doi = {10.1002/pmic.200900326},
	author = {B. Y. Renard and Kirchner, M. and Monigatti, F. and Ivanov, A. R. and Rappsilber, J. and Winter, D. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@article {banerjee2008,
	title = {An active thermographic technique for highly resolved heat transport measurements in paper drying},
	journal = {APPITA Journal},
	volume = {61},
	number = {3},
	year = {2008},
	pages = {244--249},
	abstract = {A novel measurement technique, based on infrared thermography, has been applied for characterizing the thermal properties of paper with high spatial resolution. The technique is referred to as {\textquoteright}active thermography{\textquoteright} since the temperature response of a paper sheet is observed and analysed with respect to an external periodic heating. Through the analysis of the temperature response of the paper surface in the Fourier domain for different modulation frequencies of incident heat flux, heat transfer velocities across the solid-gas interface can be estimated. This in turn results in estimation of the heat capacity of paper by solving the heat balance equations of the system. The thermal heating is applied spatially homogeneously. Therefore all these calculations are performed for all pixels in the image sequence. The spatial distribution and temporal development of all these parameters were visualized. The technique shows high potential for non-invasive dynamic measurements in paper drying.},
	url = {http://search.informit.com.au/documentSummary;dn=113990239180698;res=IELHSS},
	author = {D. Banerjee and Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne and S. Schabel}
}
@mastersthesis {voss_08_alignment,
	title = {Alignment and Retention Time Correction of LC-MS Data in Proteomics},
	year = {2008},
	school = {University of Heidelberg},
	author = {Bj{\"o}rn Voss}
}
@phdthesis {pavlov2008,
	title = {Analysis of Motion in Scale Space},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	abstract = {This work includes some new aspects of motion estimation by the optic flow method in scale spaces. The usual techniques for motion estimation are limited to the application of coarse to fine strategies. The coarse to fine strategies can be successful only if there is enough information in every scale. In this work we investigate the motion estimation in the scale space more basically. The wavelet choice for scale space decomposition of image sequences is discussed in the first part of this work. We make use of the continuous wavelet transform with rotationally symmetric wavelets. Bandpass decomposed sequences allow the replacement of the structure tensor by the phase invariant energy operator. The structure tensor is computationally more expensive because of its spatial or spatio-temporal averaging. The energy operator needs in general no further averaging. The numerical accuracy of the motion estimation with the energy operator is compared to the results of usual techniques, based on the structure tensor. The comparison tests are performed on synthetic and real life sequences. Another practical contribution is the accuracy measurement for motion estimation by adaptive smoothed tensor fields. The adaptive smoothing relies on nonlinear anisotropic diffusion with discontinuity and curvature preservation. We reached an accuracy gain under properly chosen parameters for the diffusion filter. A theoretical contribution from mathematical point of view is a new discontinuity and curvature preserving regularization for motion estimation. The convergence of solutions for the isotropic case of the nonlocal partial differential equation is shown. For large displacements between two consecutive frames the optic flow method is systematically corrupted because of the violence of the sampling theorem. We developed a new method for motion analysis by scale decomposition, which allows to circumvent the systematic corruption without using the coarse to fine strategy. The underlying assumption is, that in a certain neighborhood the grey value undergoes the same displacement. If this is fulfilled, then the same optic flow should be measured in all scales. If there arise inconsistencies in a pixel across the scale space, so they can be detected and the scales containing this inconsistencies are not taken into account.},
	url = {http://www.ub.uni-heidelberg.de/archiv/9378},
	author = {Pavel Pavlov}
}
@phdthesis {kirchner_08_analysis,
	title = {Analysis of Spectral Data},
	year = {2008},
	publisher = {University of Heidelberg},
	author = {Kirchner, M.}
}
@mastersthesis {haschler2008,
	title = {Aufbau eines Praktikumsversuch zum Gasaustauch zwischen Atmosph{\"a}re und Ozean},
	year = {2008},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Steffen Haschler}
}
@conference {Gehler2008,
	title = {Bayesian color constancy revisited},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {Computational color constancy is the task of estimating the true reflectances of visible surfaces in an image. In this paper we follow a line of research that assumes uniform illumination of a scene, and that the principal step in estimating reflectances is the estimation of the scene illuminant. We review recent approaches to illuminant estimation, firstly those based on formulae for normalisation of the reflectance distribution in an image - so-called grey-world algorithms, and those based on a Bayesian formulation of image formation. In evaluating these previous approaches we introduce a new tool in the form of a database of 568 high-quality, indoor and outdoor images, accurately labelled with illuminant, and preserved in their raw form, free of correction or normalisation. This has enabled us to establish several properties experimentally. Firstly automatic selection of grey-world algorithms according to image properties is not nearly so effective as has been thought. Secondly, it is shown that Bayesian illuminant estimation is significantly improved by the improved accuracy of priors for illuminant and reflectance that are obtained from the new dataset. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587765},
	author = {Gehler, Peter Vincent and Carsten Rother and Blake, Andrew and Minka, Tom and Sharp, Toby}
}
@booklet {jaehne2008d,
	title = {Bildverarbeitung verlangt nach Fortschritt - Forschung und berufliche Weiterbildung werden zum A und O},
	year = {2008},
	url = {http://www.sensorreport.ch/sen_Inhalt_5_08.ebs},
	author = {Bernd J{\"a}hne}
}
@article {Szeliski2008,
	title = {A comparative study of energy minimization methods for Markov random fields with smoothness-based priors},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {30},
	number = {6},
	year = {2008},
	pages = {1068{\textendash}1080},
	publisher = {Springer-Verlag},
	abstract = {Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation. It has been known for decades that such problems can be elegantly expressed as Markov random fields, yet the resulting energy minimization problems have been widely viewed as intractable. Recently, algorithms such as graph cuts and loopy belief propagation (LBP) have proven to be very powerful: for example, such methods form the basis for almost all the top-performing stereo methods. However, the tradeoffs among different energy minimization algorithms are still not well understood. In this paper we describe a set of energy minimization benchmarks and use them to compare the solution quality and running time of several common energy minimization algorithms. We investigate three promising recent methods graph cuts, LBP, and tree-reweighted message passing in addition to the well-known older iterated conditional modes (ICM) algorithm. Our benchmark problems are drawn from published energy functions used for stereo, image stitching, interactive segmentation, and denoising. We also provide a general-purpose software interface that allows vision researchers to easily switch between optimization methods. Benchmarks, code, images, and results are available at http://vision.middlebury.edu/ MRF/. {\textcopyright} 2008 IEEE.},
	keywords = {Belief propagation, Global optimization, Graph Cuts, Markov random fields, Performance evaluation},
	issn = {01628828},
	doi = {10.1109/TPAMI.2007.70844},
	url = {http://vision.middlebury.edu/MRF.},
	author = {Szeliski, Richard and Zabih, Ramin and Scharstein, Daniel and Veksler, Olga and Kolmogorov, Vladimir and Agarwala, Aseem and Tappen, Marshall and Carsten Rother}
}
@article {Szeliski2008a,
	title = {A comparative study of energy minimization methods for Markov random fields with smoothness-based priors},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {30},
	number = {6},
	year = {2008},
	month = {jun},
	pages = {1068{\textendash}1080},
	abstract = {Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation. It has been known for decades that such problems can be elegantly expressed as Markov random fields, yet the resulting energy minimization problems have been widely viewed as intractable. Recently, algorithms such as graph cuts and loopy belief propagation (LBP) have proven to be very powerful: for example, such methods form the basis for almost all the top-performing stereo methods. However, the tradeoffs among different energy minimization algorithms are still not well understood. In this paper we describe a set of energy minimization benchmarks and use them to compare the solution quality and running time of several common energy minimization algorithms. We investigate three promising recent methods graph cuts, LBP, and tree-reweighted message passing in addition to the well-known older iterated conditional modes (ICM) algorithm. Our benchmark problems are drawn from published energy functions used for stereo, image stitching, interactive segmentation, and denoising. We also provide a general-purpose software interface that allows vision researchers to easily switch between optimization methods. Benchmarks, code, images, and results are available at http://vision.middlebury.edu/ MRF/. {\textcopyright} 2008 IEEE.},
	keywords = {Belief propagation, Global optimization, Graph Cuts, Markov random fields, Performance evaluation},
	issn = {01628828},
	doi = {10.1109/TPAMI.2007.70844},
	author = {Szeliski, Richard and Zabih, Ramin and Scharstein, Daniel and Veksler, Olga and Kolmogorov, Vladimir and Agarwala, Aseem and Tappen, Marshall and Carsten Rother}
}
@conference {haja2008b,
	title = {A Comparison of Region Detectors for Tracking},
	booktitle = {Pattern Recognition, Proceedings 30th DAGM Symposium, Munich, Germany, June 2008},
	volume = {5096},
	year = {2008},
	pages = {112--121},
	abstract = {In this work, the performance of five popular region detectors is compared in the context of tracking. Firstly, conventional nearest-neighbor matching based on the similarity of region descriptors is used to assemble trajectories from unique region-to-region correspondences. Based on carefully estimated homographies between planar object surfaces in neighboring frames of an image sequence, both their localization accuracy and length, as well as the percentage of successfully tracked regions is evaluated and compared. The evaluation results serve as a supplement to existing studies and facilitate the selection of appropriate detectors suited to the requirements of a specific application. Secondly, a novel tracking method is presented, which integrates for each region all potential matches into directed multi-edge graphs. From these, trajectories are extracted using Dijkstra{\textquoteright}s algorithm. It is shown, that the resulting localization error is significantly lower than with nearest-neighbor matching while at the same time, the percentage of tracked regions is increased.},
	doi = {10.1007/978-3-540-69321-5_12},
	author = {Andreas Haja and Steffen Abraham and Bernd J{\"a}hne},
	editor = {Gerhard Rigoll}
}
@article {hanselmann_08_concise,
	title = {Concise Representation of MS Images by Probabilistic Latent Semantic Analysis},
	journal = {Analytical Chemistry},
	volume = {80},
	number = {24},
	year = {2008},
	note = {1},
	pages = {9649-9658},
	doi = {10.1021/ac801303x},
	author = {Hanselmann, M. and Kirchner, M. and B. Y. Renard and Amstalden, E. R. and Glunde, K. and Heeren, R. M. A. and Fred A. Hamprecht}
}
@conference {Fundana-Heyden-Gosch-Schnoerr-2008,
	title = {Continuous Graph Cuts for Prior-Based Object Segmentation},
	booktitle = {19th Int.~Conf.~Patt.~Recog.~(ICPR)},
	year = {2008},
	pages = {1--4},
	author = {Fundana, Ketut and Heyden, Anders and Gosch, Christian and Christoph Schn{\"o}rr}
}
@conference {Yuan-et-al-2008b,
	title = {Convex Hodge Decomposition of Image Flows},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {416--425},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Yuan, Jing and Steidl, Gabriele and Christoph Schn{\"o}rr}
}
@techreport {Lellmann2008,
	title = {Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation},
	year = {2008},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/8759/},
	author = {Lellmann, J. and J{\"o}rg H. Kappes and Yuan, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08a,
	title = {Decomposition of Quadratric Variational Problems},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {325--334},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Florian Becker and Christoph Schn{\"o}rr}
}
@conference {becker_08_decomposition,
	title = {Decomposition of Quadratric Variational Problems},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	note = {1},
	pages = {325--334},
	author = {Florian Becker and Christoph Schn{\"o}rr}
}
@article {steen_08_different,
	title = {Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis},
	journal = {Proceedings of the National Academy of Sciences},
	volume = {105},
	number = {16},
	year = {2008},
	note = {1},
	pages = {6069-6074},
	doi = {10.1073/pnas.0709807104},
	author = {Judith A. J. Steen and Steen, H. and Georgi, A. and Kenneth C. Parker and Springer, M. and Kirchner, M. and Fred A. Hamprecht and Kirschner, M. W.}
}
@article {scholz2008,
	title = {Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation},
	journal = {Exp. Fluids},
	volume = {45},
	number = {4},
	year = {2008},
	pages = {583--593},
	abstract = {A concept for dynamic mixture formation investigations of fuel/air mixtures is presented which can equally be applied to several other laser induced fluorescence (LIF) applications. Double-pulse LIF imaging was used to gain insight into dynamic mixture formation processes. The setup consists of a modified standard PIV setup. The "fuel/air ratio measurement by laser induced fluorescence (FARLIF)" approach is used for a quantification of the LIF images in order to obtain pairs of 2D fuel/air ratio maps. Two different evaluation concepts for LIF double pulse images are discussed. The first is based on the calculation of the temporal derivative field of the fuel/air ratio distribution. The result gives insight into the dynamic mixing process, showing where and how the mixture is changing locally. The second concept uses optical flow methods in order to estimate the motion of fluorescence (i.e., mixture) structures to gain insight into the dynamics, showing the distortion and the motion of the inhomogeneous mixture field. For this "fluorescence motion analysis" (FMA) two different evaluation approaches the "variational gradient based approach" and the "variational cross correlation based approach" are presented. For the validation of both, synthetic LIF image pairs with predefined motion fields were generated. Both methods were applied and the results compared with the known original motion field. This validation shows that FMA yields reliable results even for image pairs with low signal/noise ratio. Here, the "variational gradient based approach" turned out to be the better choice so far. Finally, the experimental combination of double-pulse FARLIF imaging with FMA and simultaneous PIV measurement is demonstrated. The comparison of the FMA motion field and the flow velocity field captured by PIV shows that both results basically reflect complementary information of the flow field. It is shown that the motion field of the fluorescence structures does not (necessarily) need to represent the actual flow velocity and that the flow velocity field alone can not illustrate the structure motion in any case. Therefore, the simultaneous measurement of both gives the deepest insight into the dynamic mixture formation process. The examined concepts and evaluation approaches of this paper can easily be adapted to various other planar LIF methods (with the LIF signal representing, e.g., species concentration, temperature, density etc.) broadening the insight for a wide range of different dynamic processes.},
	doi = {10.1007/s00348-008-0537-x},
	author = {J. Scholz and T. Wiersbinski and Paul Ruhnau and Daniel Kondermann and Christoph S. Garbe and R. Hain and Volker Beushausen}
}
@conference {petra-wmm08,
	title = {Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods},
	booktitle = {Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08)},
	year = {2008},
	month = {Oct. 22-Oct. 25},
	publisher = {Ed Acad Romane, Bucuresti},
	organization = {Ed Acad Romane, Bucuresti},
	address = {Constanta, Romania},
	author = {Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@conference {Petra-et-al-08b,
	title = {Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods},
	booktitle = {Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08)},
	series = {Ed Acad Romane},
	year = {2008},
	address = {Bucharest, Romania},
	author = {Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@techreport {richter2008,
	title = {Ermittlung der Leckraten der WiSSCy-Messkampagne 2007 in Hamburg mittels UV-Spektroskopie},
	year = {2008},
	institution = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg},
	author = {Kerstin E. Richter}
}
@article {andres_08_errors-in-variables,
	title = {On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation},
	journal = {Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on},
	year = {2008},
	note = {1},
	pages = {1-6},
	doi = {10.1109/CVPR.2008.4587571},
	author = {Bj{\"o}rn Andres and Claudia Kondermann and Daniel Kondermann and Ullrich K{\"o}the and Fred A. Hamprecht and Christoph S. Garbe}
}
@conference {andres2008,
	title = {On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008},
	year = {2008},
	pages = {1--6},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated errors in variables. Established total least squares methods estimate the most likely corrections Acirc and bcirc to a given data matrix [A, b] perturbed by additive Gaussian noise, such that there exists a solution y with [A + Acirc, b +bcirc]y = 0. In practice, regression imposes a more restrictive constraint namely the existence of a solution x with [A + Acirc]x = [b + bcirc]. In addition, more complicated correlations arise canonically from the use of linear filters. We, therefore, propose a maximum likelihood estimator for regression in the general case of arbitrary positive definite covariance matrices. We show that Acirc, bcirc and x can be found simultaneously by the unconstrained minimization of a multivariate polynomial which can, in principle, be carried out by means of a Grobner basis. Results for plane fitting and optical flow computation indicate the superiority of the proposed method.},
	doi = {10.1109/CVPR.2008.4587571},
	author = {Bj{\"o}rn Andres and Claudia Kondermann and Daniel Kondermann and Fred A. Hamprecht and Christoph S. Garbe}
}
@techreport {Petra-et-al08b,
	title = {Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction},
	year = {2008},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/8798/},
	author = {Stefania Petra and Popa, Constantin and Christoph Schn{\"o}rr}
}
@techreport {Petra-et-al08b,
	title = {Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction},
	year = {2008},
	month = {November},
	institution = {IWR, University of Heidelberg},
	type = {Technical Report},
	url = {http://www.ub.uni-heidelberg.de/archiv/8798/},
	author = {Stefania Petra and Constantin Popa and Christoph Schn{\"o}rr}
}
@conference {Torresani2008,
	title = {Feature correspondence via graph matching: Models and global optimization},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5303 LNCS},
	number = {PART 2},
	year = {2008},
	pages = {596{\textendash}609},
	abstract = {In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter and occlusion, such as points extracted from a pair of images containing a human figure in distinct poses. We formulate this matching task as an energy minimization problem by defining a complex objective function of the appearance and the spatial arrangement of the features. Optimization of this energy is an instance of graph matching, which is in general a NP-hard problem. We describe a novel graph matching optimization technique, which we refer to as dual decomposition (DD), and demonstrate on a variety of examples that this method outperforms existing graph matching algorithms. In the majority of our examples DD is able to find the global minimum within a minute. The ability to globally optimize the objective allows us to accurately learn the parameters of our matching model from training examples. We show on several matching tasks that our learned model yields results superior to those of state-of-the-art methods. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886850},
	issn = {03029743},
	doi = {10.1007/978-3-540-88688-4-44},
	author = {Torresani, Lorenzo and Kolmogorov, Vladimir and Carsten Rother}
}
@conference {Torresani2008a,
	title = {Feature correspondence via graph matching: Models and global optimization},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5303 LNCS},
	number = {PART 2},
	year = {2008},
	pages = {596{\textendash}609},
	abstract = {In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter and occlusion, such as points extracted from a pair of images containing a human figure in distinct poses. We formulate this matching task as an energy minimization problem by defining a complex objective function of the appearance and the spatial arrangement of the features. Optimization of this energy is an instance of graph matching, which is in general a NP-hard problem. We describe a novel graph matching optimization technique, which we refer to as dual decomposition (DD), and demonstrate on a variety of examples that this method outperforms existing graph matching algorithms. In the majority of our examples DD is able to find the global minimum within a minute. The ability to globally optimize the objective allows us to accurately learn the parameters of our matching model from training examples. We show on several matching tasks that our learned model yields results superior to those of state-of-the-art methods. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886850},
	issn = {03029743},
	doi = {10.1007/978-3-540-88688-4-44},
	author = {Torresani, Lorenzo and Kolmogorov, Vladimir and Carsten Rother}
}
@conference {Lempitsky2008,
	title = {FusionFlow: Discrete-continuous optimization for optical flow estimation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely on continuous optimization algorithms. The modeling accuracy of the energy in this case is often traded for its tractability. This is in contrast to the related problem of narrow-baseline stereo matching, where the top-performing methods employ powerful discrete optimization algorithms such as graph cuts and message-passing to optimize highly non-convex energies. In this paper, we demonstrate how similar non-convex energies can be formulated and optimized discretely in the context of optical flow estimation. Starting with a set of candidate solutions that are produced by fast continuous flow estimation algorithms, the proposed method iteratively fuses these candidate solutions by the computation of minimum cuts on graphs. The obtained continuous-valued fusion result is then further improved using local gradient descent. Experimentally, we demonstrate that the proposed energy is an accurate model and that the proposed discrete-continuous optimization scheme not only finds lower energy solutions than traditional discrete or continuous optimization techniques, but also leads to flow estimates that outperform the current state-of-the-art. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587751},
	author = {Lempitsky, Victor and Roth, Stefan and Carsten Rother}
}
@conference {Vicente2008,
	title = {Graph cut based image segmentation with connectivity priors},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated objects due to the "shrinking bias". To overcome this problem, we propose to impose an additional connectivity prior, which is a very natural assumption about objects. We formulate several versions of the connectivity constraint and show that the corresponding optimization problems are all NP-hard. For some of these versions we propose two optimization algorithms: (i) a practical heuristic technique which we call DijkstraGC, and (ii) a slow method based on problem decomposition which provides a lower bound on the problem. We use the second technique to verify that for some practical examples DijkstraGC is able to find the global minimum. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587440},
	author = {Vicente, Sara and Kolmogorov, Vladimir and Carsten Rother}
}
@phdthesis {haja2008,
	title = {Graph-based Spatial Motion Tracking using Affine-covariant Regions},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	abstract = {This thesis considers the task of spatial motion reconstruction from image sequences using a stereoscopic camera setup. In a variety of fields, such as flow analysis in physics or the measurement of oscillation characteristics and damping behavior in mechanical engineering, efficient and accurate methods for motion analysis are of great importance. This work discusses each algorithmic step of the motion reconstruction problem using a set of freely available image sequences. The presented concepts and evaluation results are of a generic nature and may thus be applied to a multitude of applications in various fields, where motion can be observed by two calibrated cameras. The first step in the processing chain of a motion reconstruction algorithm is concerned with the automated detection of salient locations (=features or regions) within each image of a given sequence. In this thesis, detection is directly performed on the natural texture of the observed objects instead of using artificial marker elements (as with many currently available methods). As one of the major contributions of this work, five well-known detection methods from the contemporary literature are compared to each other with regard to several performance measures, such as localization accuracy or the robustness under perspective distortions. The given results extend the available literature on the topic and facilitate the well-founded selection of appropriate detectors according to the requirements of specific target applications. In the second step, both spatial and temporal correspondences have to be established between features extracted from different images. With the former, two images taken at the same time instant but with different cameras are considered (stereo reconstruction) while with the latter, correspondences are sought between temporally adjacent images from the same camera instead (monocular feature tracking). With most classical methods, an observed object is either spatially reconstructed at a single time instant yielding a set of three-dimensional coordinates, or its motion is analyzed separately within each camera yielding a set of two-dimensional trajectories. A major contribution of this thesis is a concept for the unification of both stereo reconstruction and monocular tracking. Based on sets of two-dimensional trajectories from each camera of a stereo setup, the proposed method uses a graph-based approach to find correspondences not between single features but between entire trajectories instead. Thereby, the influence of locally ambiguous correspondences is mitigated significantly. The resulting spatial trajectories contain both the three-dimensional structure and the motion of the observed objects at the same time. To the best knowledge of the author, a similar concept does not yet exist in the literature. In a detailed evaluation, the superiority of the new method is demonstrated.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8943},
	author = {Andreas Haja}
}
@conference {Rhemann2008a,
	title = {High resolution matting via interactive trimap segmentation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {We present a new approach to the matting problem which splits the task into two steps: interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain considerably in terms of speed and quality and are able to deal with high resolution images. This paper has three contributions: (i) a new trimap segmentation method using parametric max-flow; (ii) an alpha matting technique for high resolution images with a new gradient preserving prior on alpha; (iii) a database of 27 ground truth alpha mattes of still objects, which is considerably larger than previous databases and also of higher quality. The database is used to train our system and to validate that both our trimap extraction and our matting method improve on state-of-the-art techniques. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587441},
	author = {Rhemann, Christoph and Carsten Rother and Rav-Acha, Alex and Sharp, Toby}
}
@conference {Rhemann2008b,
	title = {High resolution matting via interactive trimap segmentation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {We present a new approach to the matting problem which splits the task into two steps: interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain considerably in terms of speed and quality and are able to deal with high resolution images. This paper has three contributions: (i) a new trimap segmentation method using parametric max-flow; (ii) an alpha matting technique for high resolution images with a new gradient preserving prior on alpha; (iii) a database of 27 ground truth alpha mattes of still objects, which is considerably larger than previous databases and also of higher quality. The database is used to train our system and to validate that both our trimap extraction and our matting method improve on state-of-the-art techniques. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587441},
	author = {Rhemann, Christoph and Carsten Rother and Rav-Acha, Alex and Sharp, Toby}
}
@conference {Rhemann2008c,
	title = {High resolution matting via interactive trimap segmentation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {We present a new approach to the matting problem which splits the task into two steps: interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain considerably in terms of speed and quality and are able to deal with high resolution images. This paper has three contributions: (i) a new trimap segmentation method using parametric max-flow; (ii) an alpha matting technique for high resolution images with a new gradient preserving prior on alpha; (iii) a database of 27 ground truth alpha mattes of still objects, which is considerably larger than previous databases and also of higher quality. The database is used to train our system and to validate that both our trimap extraction and our matting method improve on state-of-the-art techniques. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587441},
	author = {Rhemann, Christoph and Carsten Rother and Rav-Acha, Alex and Sharp, Toby}
}
@booklet {schmidtm2008,
	title = {How to perform camera measurements according to the EMVA 1288 Standard.},
	year = {2008},
	author = {Schmidt, M.}
}
@conference {Lempitsky2008a,
	title = {Image segmentation by branch-and-mincut},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5305 LNCS},
	number = {PART 4},
	year = {2008},
	pages = {15{\textendash}29},
	abstract = {Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from low-level cues. However, introducing a high-level prior such as a shape prior or a color-distribution prior into the segmentation process typically results in an energy that is much harder to optimize. The main contribution of the paper is a new global optimization framework for a wide class of such energies. The framework is built upon two powerful techniques: graph cut and branch-and-bound. These techniques are unified through the derivation of lower bounds on the energies. Being computable via graph cut, these bounds are used to prune branches within a branch-and-bound search. We demonstrate that the new framework can compute globally optimal segmentations for a variety of segmentation scenarios in a reasonable time on a modern CPU. These scenarios include unsupervised segmentation of an object undergoing 3D pose change, category-specific shape segmentation, and the segmentation under intensity/color priors defined by Chan-Vese and GrabCut functionals. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886923},
	issn = {03029743},
	doi = {10.1007/978-3-540-88693-8-2},
	author = {Lempitsky, Victor and Blake, Andrew and Carsten Rother}
}
@conference {Lempitsky2008b,
	title = {Image segmentation by branch-and-mincut},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5305 LNCS},
	number = {PART 4},
	year = {2008},
	pages = {15{\textendash}29},
	abstract = {Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from low-level cues. However, introducing a high-level prior such as a shape prior or a color-distribution prior into the segmentation process typically results in an energy that is much harder to optimize. The main contribution of the paper is a new global optimization framework for a wide class of such energies. The framework is built upon two powerful techniques: graph cut and branch-and-bound. These techniques are unified through the derivation of lower bounds on the energies. Being computable via graph cut, these bounds are used to prune branches within a branch-and-bound search. We demonstrate that the new framework can compute globally optimal segmentations for a variety of segmentation scenarios in a reasonable time on a modern CPU. These scenarios include unsupervised segmentation of an object undergoing 3D pose change, category-specific shape segmentation, and the segmentation under intensity/color priors defined by Chan-Vese and GrabCut functionals. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886923},
	issn = {03029743},
	doi = {10.1007/978-3-540-88693-8-2},
	author = {Lempitsky, Victor and Blake, Andrew and Carsten Rother}
}
@conference {Rhemann2008,
	title = {Improving color modeling for alpha matting},
	booktitle = {BMVC 2008 - Proceedings of the British Machine Vision Conference 2008},
	year = {2008},
	abstract = {This paper addresses the problem of extracting an alpha matte from a single photograph given a user-defined trimap. A crucial part of this task is the color modeling step where for each pixel the optimal alpha value, together with its confidence, is estimated individually. This forms the data term of the objective function. It comprises of three steps: (i) Collecting a candidate set of potential fore- and background colors; (ii) Selecting high confidence samples from the candidate set; (iii) Estimating a sparsity prior to remove blurry artifacts. We introduce novel ideas for each of these steps and show that our approach considerably improves over state-of-the-art techniques by evaluating it on a large database of 54 images with known high-quality ground truth.},
	doi = {10.5244/C.22.115},
	author = {Rhemann, Christoph and Carsten Rother and Gelautz, Margrit}
}
@incollection {acker2008,
	title = {Inverse Problems and Parameter Identification in Image Processing},
	year = {2008},
	pages = {111--151},
	publisher = {Springer},
	abstract = {Many problems in imaging are actually inverse problems. One reason for this is that conditions and parameters of the physical processes underlying the actual image acquisition are usually not known. Examples for this are the inhomogeneities of the magnetic field in magnetic resonance imaging (MRI) leading to nonlinear deformations of the anatomic structures in the recorded images, material parameters in geological structures as unknown parameters for the simulation of seismic wave propagation with sparse measurement on the surface, or temporal changes in movie sequences given by intensity changes or moving image edges and resulting from deformation, growth and transport processes with unknown fluxes. The underlying physics is mathematically described in terms of variational problems or evolution processes. Hence, solutions of the forward problem are naturally described by partial differential equations. These forward models are reflected by the corresponding inverse problems as well. Beyond these concrete, direct modeling links to continuum mechanics abstract concepts from physical modeling are successfully picked up to solve general perceptual problems in imaging. Examples are visually intuitive methods to blend between images showing multiscale structures at different resolution or methods for the analysis of flow fields.},
	doi = {10.1007/978-3-540-75632-3_4},
	author = {Jens F. Acker and Benjamin Berkels and Kristian Bredies and Mamadou S. Diallo and Marc Droske and Christoph S. Garbe and Matthias Holschneider and Jaroslav Hron and Claudia Kondermann and Michail Kulesh and Peter Maass and Nadine Olischl{\"a}ger and Heinz-Otto Peitgen},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@booklet {jaehne2008a,
	title = {Kameraauswahl nach objektiven Kriterien - Der EMVA1288 Kamerastandard},
	year = {2008},
	url = {http://www.gitverlag.com/de/print/4/18/issues/2008/3039.html},
	author = {Bernd J{\"a}hne}
}
@conference {haja2008a,
	title = {Localization accuracy of region detectors},
	booktitle = {Proceedings CVPR{\textquoteright}08},
	year = {2008},
	doi = {10.1109/CVPR.2008.4587829},
	author = {Andreas Haja and Bernd J{\"a}hne and Steffen Abraham}
}
@conference {Kappes-et-al-08,
	title = {MAP-Inference for Highly-Connected Graphs with DC-Programming},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {1--10},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Kappes-et-al-08,
	title = {MAP-Inference for Highly-Connected Graphs with DC-Programming},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {1{\textendash}10},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Kappes, J. H. and Schn{\"o}rr, C.}
}
@conference {garbe2008c,
	title = {Measuring momentum transport directly at the air water interface from active infrared thermography},
	booktitle = {Geophysical Research Abstracts},
	year = {2008},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne}
}
@article {staudacher_08_method,
	title = {Method for processing an intensity image of a microscope},
	journal = {Patent, Patent Number: WO2008034721A1},
	year = {2008},
	author = {Staudacher, M. and Fred A. Hamprecht and G{\"o}rlitz, L.}
}
@article {roetmann2007,
	title = {Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering},
	journal = {Exp. Fluids},
	volume = {44},
	year = {2008},
	pages = {419--430},
	abstract = {The two dimensional Molecular Tagging Velocimetry (2D-MTV) was used to measure velocity fields of the flow in a micro mixer. Instead of commonly used micro particles an optical tagging of the flow was performed by using a caged dye. The flow induces a deformation of the optically written pattern that can be tracked by laser induced fluorescence. The series of raw images gained this way were analyzed quantitatively with a novel optical flow based technique. Reference measurements have been carried out allowing to draw conclusions about the accuracy of this procedure. A comparison to the standard technique of uPIV was also conducted. Apart from measuring flow velocities in microfluidic mixing processes, the spatial distribution of concentration fields for different species were also measured. To this end, a new technique has been developed that allows spatial measurements from Planar Spontaneous Raman Scattering (PSRS). The Raman stray light of the relevant species was spectrally selected by a narrow bandpass filter and thus detected unaffectedly by the Raman stray light of other species. The successful operation of this measurement procedure in micro flows will be demonstrated exemplary for a mixing process of water and ethanol.},
	doi = {10.1007/s00348-007-0420-1},
	author = {Karsten Roetmann and Waldemar Schmunk and Christoph S. Garbe and Volker Beushausen}
}
@article {menze_08_mimicking,
	title = {Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI},
	journal = {Magnetic Resonance in Medicine},
	volume = {59},
	year = {2008},
	note = {1},
	pages = {1457-1466},
	doi = {10.1002/mrm.21519},
	author = {Bjoern H. Menze and B. Michael Kelm and M.-A. Weber and Bachert, P. and Fred A. Hamprecht}
}
@conference {Enzweiler-et-al-08b,
	title = {A Mixed Generative-Discriminative Framework for Pedestrian Classification},
	booktitle = {Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR)},
	year = {2008},
	author = {Markus Enzweiler and Dariu M. Gavrila}
}
@article {Enzweiler-et-al-08a,
	title = {Monocular Pedestrian Detection: Survey and Experiments},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence, available online: IEEE Computer Society Digital Library, http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.260},
	year = {2008},
	author = {Markus Enzweiler and Dariu M. Gavrila}
}
@conference {Enzweiler-et-al-08c,
	title = {Monocular Pedestrian Recognition Using Motion Parallax},
	booktitle = {Proc. IEEE Symposium on Intelligent Vehicles},
	year = {2008},
	pages = {792-797},
	author = {Markus Enzweiler and Pascal Kanter and Dariu M. Gavrila}
}
@conference {kondermann2008b,
	title = {Motion Estimation Based on a Temporal Model of Fluid Flows},
	booktitle = {13th International Symposium on Flow Visualization},
	year = {2008},
	pages = {1-10},
	author = {Daniel Kondermann and Claudia Kondermann and A. Berthe and U. Kertzscher and Christoph S. Garbe}
}
@article {renard_08_nitpick,
	title = {NITPICK: Peak Identification for Mass Spectrometry Data},
	journal = {BMC Bioinformatics},
	volume = {9},
	year = {2008},
	pages = {355},
	doi = {10.1186/1471-2105-9-355},
	author = {B. Y. Renard and Kirchner, M. and Steen, H. and Judith A. J. Steen and Fred A. Hamprecht}
}
@incollection {garbe_08_nonlinear,
	title = {Nonlinear Analysis of Multi-Dimensional Signals},
	year = {2008},
	note = {1},
	pages = {231-288},
	publisher = {Springer},
	doi = {10.1007/978-3-540-75632-3_7},
	author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Schuchert, T. and Hanno Scharr and Til Aach and Erhardt Barth},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@incollection {garbe2008,
	title = {Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns},
	year = {2008},
	pages = {231-288},
	publisher = {Springer},
	abstract = {We consider the general task of accurately detecting and quantifying orientations in n-dimensional signals s. The main emphasis will be placed on the estimation of motion, which can be thought of as orientation in spatiotemporal signals. Associated problems such as the optimization of matched kernels for deriving isotropic and highly accurate gradients from the signals, optimal integration of local models, and local model selection will also be addressed.},
	doi = {10.1007/978-3-540-75632-3_7},
	author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Tobias Schucher and Hanno Scharr and Til Aach and Erhardt Barth},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@article {jehle2008,
	title = {A novel method for three-dimensional three-component analysis of flow close to free water surfaces},
	journal = {Exp. Fluids},
	volume = {44},
	year = {2008},
	pages = {469--480},
	abstract = {Initial effort is made to establish a new technique for the measurement of three-dimensional three-component (3D3C) velocity fields close to free water surfaces. A fluid volume is illuminated by light emitting diodes (LEDs) perpendicularly to the surface. Small spherical particles are added to the fluid, functioning as a tracer. A monochromatic camera pointing to the water surface from above records the image sequences. The distance of the spheres to the surface is coded by means of a supplemented dye, which absorbs the light of the LEDs according to Beer-Lambert{\textquoteright}s law. By applying LEDs with two different wavelengths, it is possible to use particles variable in size. The velocity vectors are obtained by using an extension of the method of optical flow. The vertical velocity component is computed from the temporal brightness change. The setup is validated with a laminar falling film, which serves as a reference flow. Moreover, the method is applied to buoyant convective turbulence as an example for a non stationary, inherently 3D flow.},
	doi = {10.1007/s00348-007-0453-5},
	author = {Markus Jehle and Bernd J{\"a}hne}
}
@mastersthesis {griessinger_08_object,
	title = {Oject Detection with Generic Features: An Application to STED Microscopy},
	year = {2008},
	school = {University of Heidelberg},
	author = {Griessinger, M.}
}
@article {garbe2008b,
	title = {An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion},
	journal = {Exp. Fluids},
	volume = {44},
	year = {2008},
	pages = {439--450},
	abstract = {A novel technique is presented for accurately measuring flow fields in microfluidic flows from molecular tagging velocimetry (MTV). Limited optical access is frequently encountered in microfluidic systems. Therefore, in this contribution we analyze the special case of tagging a line across the thin dimension of a microchannel and subsequent imaging along this line. This represents a set-up that is applicable to a wide range of microfluidic applications. A volume illumination has to be used, resulting in an integration of the visualized dye across the flow profile. This leads to the well-known effect of Taylor dispersion. Our novel technique consists of measuring motion from digital image sequences in a gradient-based approach. A motion model is developed which explicitly deals with brightness changes due to Taylor dispersion and additional molecular diffusion of dyes. The presented approach is specific to the case of a parabolic velocity profile. In the presence of these effects, an accurate computation of motion is only possible by applying this novel motion model. Our technique is tested on simulated sequences corrupted with varying levels of noise and on actual measurements. Measurements were conducted in a microfluidic mixer of precisely known flow properties. In the same mixer, a comparative study of our MTV technique to uPIV was performed. Also, the results were compared to bulk measurements of the fluid flow velocity. The novel algorithm compared favorably and also, measurements were conducted on inhomogeneous flow configurations.},
	doi = {10.1007/s00348-007-0435-7},
	author = {Christoph S. Garbe and Karsten Roetmann and Volker Beushausen and Bernd J{\"a}hne}
}
@phdthesis {klappstein2008,
	title = {Optical-Flow based Detection of Moving Objects in Traffic Scenes},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	abstract = {Traffic is increasing continuously. Nevertheless the number of traffic fatalities decreased in the past. One reason for this are the passive safety systems, such as side crash protection or airbag, which have been engineered the last decades and which are standard in today{\textquoteright}s cars. Active safety systems are increasingly developed. They are able to avoid or at least to mitigate accidents. For example, the adaptive cruise control (ACC) original designed as a comfort system is developed towards an emergency brake system. Active safety requires sensors perceiving the vehicle environment. ACC uses radar or laser scanner. However, cameras are also interesting sensors as they are capable of processing visual information such as traffic signs or lane markings. In traffic moving objects (cars, bicyclists, pedestrians) play an important role. To perceive them is essential for active safety systems. This thesis deals with the detection of moving objects utilizing a monocular camera. The detection is based on the motions within the video stream (optical flow). If the ego-motion and the location of the camera with respect to the road plane are known the viewed scene can be 3D reconstructed exploiting the measured optical flow. In this thesis an overview of existing algorithms estimating the ego-motion is given. Based on it a suitable algorithm is selected and extended by a motion model. The latter one considerably increases the accuracy as well as the robustness of the estimate. The location of the camera with respect to the road plane is estimated using the optical flow on the road. The road might be temporary low-textured making it hard to measure the optical flow. Consequently, the road homography estimate will be poor. A novel Kalman filtering approach combining the estimate of the ego-motion and the estimate of the road homography leads to far better results. The 3D reconstruction of the viewed scene is performed pointwise for each measured optical flow vector. A point is reconstructed through intersection of the viewing rays which are determined by the optical flow vector. This only yields a correct result for static, i.e. non-moving, points. Further, static points fulfill four constraints: epipolar constraint, trifocal constraint, positive depth constraint, and positive height constraint. If at least one constraint is violated the point is moving. For the first time an error metric is developed exploiting all four constraints. It measures the deviation from the constraints quantitatively in a unified manner. Based on this error metric the detection limits are investigated. It is shown that overtaking objects are detected very well whereas objects being overtaken are detected hardly. Oncoming objects on a straight road are not detected by means of the available constraints. Only if one assumes that these objects are opaque and touch the ground the detection becomes feasible. An appropriate heuristic is introduced. In conclusion, the developed algorithms are a system to detect moving points robustly. The problem of clustering the detected moving points to objects is outlined. It serves as a starting point for further research activities.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8591/},
	author = {Klappstein, Jens}
}
@mastersthesis {schmidt2008b,
	title = {Optische Methoden zur Form- und Positionserkennung von K{\"o}rpern in Werkzeugmaschinen},
	year = {2008},
	school = {Fried-rich-Schil-ler-Uni-ver-si-t{\"a}t Je-na},
	author = {Schmidt, Mirko}
}
@conference {Kohli2008,
	title = {On partial optimality in multi-label MRFs},
	booktitle = {Proceedings of the 25th International Conference on Machine Learning},
	year = {2008},
	pages = {480{\textendash}487},
	abstract = {We consider the problem of optimizing multilabel MRFs, which is in general NP-hard and ubiquitous in low-level computer vision. One approach for its solution is to formulate it as an integer linear programming and relax the integrality constraints. The approach we consider in this paper is to first convert the multi-label MRF into an equivalent binary-label MRF and then to relax it. The resulting relaxation can be efficiently solved using a maximum flow algorithm. Its solution provides us with a partially optimal labelling of the binary variables. This partial labelling is then easily transferred to the multi-label problem. We study the theoretical properties of the new relaxation and compare it with the standard one. Specifically, we compare tightness, and characterize a subclass of problems where the two relaxations coincide. We propose several combined algorithms based on the technique and demonstrate their performance on challenging computer vision problems. Copyright 2008 by the author(s)/owner(s).},
	isbn = {9781605582054},
	doi = {10.1145/1390156.1390217},
	author = {Kohli, Pushmeet and Shekhovtsov, Alexander and Carsten Rother and Kolmogorov, Vladimir and Torr, Philip}
}
@mastersthesis {sauer_08_pattern,
	title = {Pattern Recognition on Statistically Textured Surfaces},
	year = {2008},
	school = {University of Heidelberg},
	author = {Sauer, P.}
}
@mastersthesis {boppel_08_peak,
	title = {Peak Identification for Liquid Chromatography and Mass Spectrometry},
	year = {2008},
	school = {University of Heidelberg},
	author = {Boppel, S.}
}
@article {Munder-et-al-08,
	title = {Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models},
	journal = {IEEE Trans. Intell. Transp. Systems},
	volume = {9},
	year = {2008},
	pages = {333-343},
	author = {Munder, S. and Schn{\"o}rr, C. and Gavrila, D. M.}
}
@conference {Vlasenko-et-al-08a,
	title = {Physically Consistent Variational Denoising of Image Fluid Flow Estimates},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {406--415},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Vlasenko, A. and Christoph Schn{\"o}rr}
}
@conference {Vlasenko-et-al-08a,
	title = {Physically Consistent Variational Denoising of Image Fluid Flow Estimates},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {406{\textendash}415},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Vlasenko, A. and Schn{\"o}rr, C.}
}
@phdthesis {geiler2008,
	title = {Polarisationsbildgebung in der industriellen Qualit{\"a}tskontrolle},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis the usage of polarization imaging in the field of automated optical inspection is investigated. Starting from the classical reflection models of computer vision the polarization parameters are modelled with a special focus on materials with strong volume scattering. Thereby the dependence of the polariza-tion angle on the alignment of the sample can be modelled quantitatively, whereas the behaviour of the intensity and the degree of polarization can be described only qualitatively due to the surface roughness. The influence of this roughness is studied using numerical simulations. Furthermore the measurement setup is enhanced for the industrial application. In particular the well known shifts between the raw images can be effectively compensated using a new optical flow based approach. Moreover the image quality is particularly dominated by the noise of the intensity sensor. Based on mathematical statistics, the lower bound (Cramer Rao Bound) for the measurement precision is derived. Since the dependence of the grey value variance on the grey value is taken into account for the first time, a good agreement between the theoretical consideration and the experimental data is achieved. An experimental setup which was optimised with respect to image acquisition time and stability was integrated in a production line and showed a considerable improvement in detecting defective samples while at the same time showing its suitability for series production.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8533},
	author = {Geiler, Thomas}
}
@conference {kondermann2008,
	title = {Postprocessing of optical flows via surface measures and motion inpainting},
	booktitle = {Pattern Recognition},
	volume = {5096},
	year = {2008},
	pages = {355--364},
	abstract = {Dense optical flow fields are required for many applications. They can be obtained by means of various global methods which employ regularization techniques for propagating estimates to regions with insufficient information. However, incorrect flow estimates are propagated as well. We, therefore, propose surface measures for the detection of locations where the full flow can be estimated reliably, that is in the absence of occlusions, intensity changes, severe noise, transparent structures, aperture problems and homogeneous regions. In this way we obtain sparse, but reliable motion fields with lower angular errors. By subsequent application of a basic motion inpainting technique to such sparsified flow fields we obtain dense fields with smaller angular errors than obtained by the original combined local global (CLG) method and the structure tensor method in all test sequences. Experiments show that this postprocessing method makes error improvements of up to 38\% feasible.},
	doi = {10.1007/978-3-540-69321-5_36},
	author = {Claudia Kondermann and Daniel Kondermann and Christoph S. Garbe}
}
@article {jaeger_08_principal,
	title = {Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {56:4},
	year = {2008},
	pages = {1307-1313},
	doi = {10.1109/TIE.2008.2008339},
	author = {J{\"a}ger, M. and Fred A. Hamprecht}
}
@article {jaehne2008c,
	title = {Prinzipien und Verfahren zur Aufnahme spektraler Bilddaten - Vereinfachte Bildanalyse},
	journal = {QZ},
	volume = {53},
	number = {2},
	year = {2008},
	pages = {45--48},
	author = {Bernd J{\"a}hne}
}
@article {schmidt2008a,
	title = {Range flow estimation based on photonic mixing device data},
	journal = {Int. J. Intelligent Systems Technologies and Applications},
	volume = {5},
	year = {2008},
	pages = {380--392},
	abstract = {We present techniques for computing 3D velocity fields from range data acquired with cameras working on the principles of modulation based Time-Of-Flight measurement. We derive a new variant of the range flow constraint equation that directly incorporates the transformation from sensor to world coordinate system. The presented techniques are applied to a number of range sequences with ground truth and the acquired motion estimation results are discussed.},
	doi = {10.1504/IJISTA.2008.021301},
	author = {Schmidt, Martin and Markus Jehle and Bernd J{\"a}hne}
}
@article {koethe_08_reliable-image-analysis,
	title = {Reliable Low-Level Image Analysis},
	year = {2008},
	publisher = {Department Informatik, University of Hamburg},
	address = {Hamburg},
	abstract = {What information give <em>discrete images</em> about the <em>continuous world</em>?

Image analysis uses discrete methods to make statements about the continuous real world. Since an in
finite amount of information is lost by digitization, it is not obviuous whether or when this approa
ch will succeed: Can one prove that certain properties of interest will be preserved, despite the in
formation loss?

This habilitation thesis considers theories which explicitly connect continuous and discrete models,
 such as Shannon{\textquoteright}s famous sampling theorem and a recently discovered geometric sampling theorem. Thi
s analysis reveals important consequences regarding the necessary image quality (e.g. resolution and
 signal-to-noise-ratio) and the resulting limits of observation. These findings are subsequently app
lied to a large number of low-level image analysis problems (such edge and corner detection, segment
ation, local estimation, and noise normalization), which leads to significantly improved algorithms
that perform robustly and accurately in accordance to the predictions of theory.</div>},
	author = {Ullrich K{\"o}the}
}
@article {koenig_08_robust,
	title = {Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics},
	journal = {Journal of Proteome Research},
	volume = {7},
	number = {9},
	year = {2008},
	note = {1},
	pages = {3708-3717},
	doi = {10.1021/pr700859x},
	author = {K{\"o}nig, T. and Bjoern H. Menze and Kirchner, M. and Monigatti, F. and Kenneth C. Parker and Patterson, T. and Judith Jebanthirajah Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {friedrich2008,
	title = {Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse)},
	booktitle = {87th Annual Meeting of the German Physiological Society},
	year = {2008},
	author = {O. Friedrich and C. Weber and M. Both and Wegner, F. von and J. S. Chamberlain and Christoph S. Garbe and Rainer H. A. Fink}
}
@book {ommer:VDM:2008,
	title = {Seeing the Objects Behind the Parts: Learning Compositional Models for Visual Recognition},
	year = {2008},
	publisher = {VDM Verlag},
	organization = {VDM Verlag},
	isbn = {978-3-639-02144-8},
	url = {http://www.amazon.com/Seeing-Objects-Behind-Parts-Compositional/dp/3639021444/ref=sr_1_1?ie=UTF8\&amp;s=books\&amp;qid=1232659136\&amp;sr=1-1},
	author = {Bj{\"o}rn Ommer}
}
@conference {andres_08_segmentation,
	title = {Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification},
	booktitle = {Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings},
	volume = {5096},
	year = {2008},
	note = {1},
	pages = {142-152},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-69321-5_15},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Helmstaedter, M. and Denk, W. and Fred A. Hamprecht},
	editor = {Gerhard Rigoll}
}
@booklet {jaehne2008,
	title = {Signifikanter Umbruch zeichnet sich ab - Aktuelle Entwicklungen in der Bildverarbeitung},
	year = {2008},
	note = {VDMA, Frankfurt},
	url = {http://www.vdma-verlag.com/home/p427.html},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {huhn2008,
	title = {A Simple Instrument for the Measurement of the Slope and Height Distributions of Small Scale Wind-Driven Water Waves},
	year = {2008},
	school = {Institute for Environmental Physics, University of Heidelberg},
	abstract = {A new optical wave gauge was built to measure simultaneously two statistical parameters of wind induced water surface waves, namely the surface slope and surface amplitude probability distribution functions. The new instrument was tested in a linear wind wave flume with a water depth of 10 cm. The surface slope is determined using the refraction of light at the water surface. The wave amplitude is measured using the absorption of infrared light in the water column. The wave gauge consists of a point-like dichromatic light source which is positioned under the flume (Ulbricht sphere with high-power LEDs, (RED = 632nm and IR = 850nm) and a camera above the flume that looks vertically through the water into the light source. No other optical components are needed. The light source is pulsed and the camera is triggered. The images show light speckles whose positions are a measure for the wave slope. The relative intensities are a measure for the wave amplitude. These quantities are derived from the digital images by means of image processing and simple geometrical considerations. The influence of different analysis methods on the wave slope and amplitude distribution was studied. For the characterization of the new linear wind wave flume in the Institut f{\"u}r Umweltphysik (IUP), Heidelberg, mean square slope and root mean square wave height were measured for a wind speed up to 6.7 m/s and a fetch between 0.80m and 2.40m. The findings agree with comparable measurements in other linear wind wave flumes.},
	author = {Huhn, Florian}
}
@conference {Petra-et-al-08,
	title = {On Sparsity Maximization in Tomographic Particle Image Reconstruction},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {294--303},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Stefania Petra and Schr{\"o}der, A. and Wieneke, B. and Christoph Schn{\"o}rr}
}
@conference {Petra-et-al-08,
	title = {On Sparsity Maximization in Tomographic Particle Image Reconstruction},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {294{\textendash}303},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Petra, S. and Schr{\"o}der, A. and Wieneke, B. and Schn{\"o}rr, C.}
}
@phdthesis {schmidt2008,
	title = {Spatiotemporal Analysis of Range Imagery},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, University of Heidelberg},
	abstract = {The present thesis handles the topic of how to determine the three dimensional motion field from a corresponding sequence of range images. We investigate signals given by range cameras that are based on the time-of-flight principle for which they employ the novel optoelectronic photonic-mixer-device (PMD). Its signal comprises information about the range, the mean radiant flux and its modulation amplitude. We discuss how to take advantage of this wealth of information. The estimation of a motion field from image sequences is an ill-posed inverse problem which can not be solved in general. Moreover, the spatiotemporal signal of a PMD-camera is corrupted by several kind of, partially rather specific, errors of systematic and statistical nature depending explicitly on time and space (motion-artifacts). We analyze those errors and develop a method to correct for systematic errors in the range signal. By means of a novel two-state-channel-smoothing we improve range images corrupted by noise and outliers. We use and extend the structure tensor approach to come for the first time to an improved motion estimate that exploits the PMD-signal and provides an inherent measure for its confidence. The presented algorithms were developed under the premise to be of a computational complexity that not forbids their application within an embedded system. They are tested on synthetic and real images and image sequences.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8879/},
	author = {Schmidt, Martin}
}
@phdthesis {rocholz2008,
	title = {Spatiotemporal Measurement of Short Wind-Driven Water Waves},
	year = {2008},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Spatio-temporal measurements of wind-driven short-gravity capillary waves are reported for a wide range of experimental conditions, including wind, rain and surface slicks. The experiments were conducted in a linear wind wave flume and for the water surface elevation eta(x,y,t) both components of the slope field s = grad eta were measured optically. For this the color imaging slope gauge (CISG) was realized, comprising a range of wavenumbers k = sqrt(kx^2 + ky^2) from 60 to 4500 rad/m. The instrument was improved to achieve a sampling rate of 312.5 Hz, which now allows for the computation of 3D wavenumber-frequency spectra S(kx, ky, omega). Using a new calibration method it was possible to correct for the intrinsic nonlinearities of the instrument in the slope range up to {\textpm}1. In addition, the Modulation Transfer Function (MTF) was measured and employed for the contrast restoration of the data. The results are generally consistent with former measurements. But, the shape of the saturation spectra in the vicinity of k > 1000 rad/m stands in contradiction to former investigations where a sharp spectral cutoff (propto k^(-2) or k^(-3)) is commonly reported. The new MTF corrected spectra show just a gentle decrease (between k^(-0.5) and k^(-1)) for k >1000 rad/m, which has implications for the modeling of the energy fluxes in the wave field. Concerning the dispersion relation, a first approach for a quantitative evaluation of the wavenumber-frequency spectrum is shown. This includes estimates of the surface tension and the Doppler shift due to the surface shear flow and the wave-wave modulations. The wave measurements were accompanied by synchronized and spatially coinciding measurements of the surface temperature by means of infrared imagery. The temperature data is mapped onto an animated graphical model of the reconstructed surface elevation using a new interactive visualization tool. This allows for an investigation of intermittent small scale processes that are influencing the transfer of heat and gases at the air-water interface, such as microscale wave breaking, small scale Langmuir circulations, and the impact of rain drops.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8897},
	author = {Roland Rocholz}
}
@article {jaeger_08_sputter,
	title = {Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {55},
	number = {5},
	year = {2008},
	pages = {2177-2184},
	doi = {10.1109/TIE.2008.918637},
	author = {J{\"a}ger, M. and Humbert, S. and Fred A. Hamprecht}
}
@conference {kondermann2008a,
	title = {A statistical confidence measure for optical flows},
	booktitle = {Proceedings of the ECCV},
	volume = {5304},
	year = {2008},
	pages = {290--301},
	abstract = {Confidence measures are crucial to the interpretation of any optical flow measurement. Even though numerous methods for estimating optical flow have been proposed over the last three decades, a sound, universal, and statistically motivated confidence measure for optical flow measurements is still missing. We aim at filling this gap with this contribution, where such a confidence measure is derived, using statistical test theory and measurable statistics of flow fields from the regarded domain. The new confidence measure is computed from merely the results of the optical flow estimator and hence can be applied to any optical flow estimation method, covering the range from local parametric to global variational approaches. Experimental results using state-of-the-art optical flow estimators and various test sequences demonstrate the superiority of the proposed technique compared to existing confidence measures.},
	doi = {10.1007/978-3-540-88690-7_22},
	author = {Claudia Kondermann and Mester, R. and Christoph S. Garbe}
}
@article {rapp_08_theoretical,
	title = {A Theoretical and Experimental Investigation of the Systematic Errors and Statistical Uncertainties of Time-of-Flight Cameras},
	journal = {Int. J. Intelligent Systems Technologies and Applications},
	volume = {5},
	number = {3},
	year = {2008},
	note = {1},
	pages = {402-413},
	doi = {10.1504/IJISTA.2008.021303},
	author = {Holger Rapp and Mario Frank and Fred A. Hamprecht and Bernd J{\"a}hne}
}
@article {rapp2008,
	title = {A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras},
	journal = {Int. J. Intelligent Systems Technologies and Applications},
	volume = {5},
	year = {2008},
	pages = {402--413},
	abstract = {The following paper presents a model to predict the systematic errors and statistical uncertainties of Time-Of-Flight (TOF) 3D imaging systems. The experimental data obtained with a custom build test setup show that the SD of the depth signal rises approximately quadratically with the depth. The most significant systematic depth error is periodic with an amplitude of around 50mm. It is provoked by the inharmonic correlation function. The inhomogeneity in each pixel (fixed pattern) accounts for a depth error of about 20mm, while illumination and reflectivity variations cause depth errors of less than 10mm, provided that no overflows occur.},
	doi = {10.1504/IJISTA.2008.021303},
	author = {Holger Rapp and Mario Frank and Fred A. Hamprecht and Bernd J{\"a}hne}
}
@article {meine_08_topological,
	title = {A Topological Sampling Theorem for Robust Boundary Reconstruction
and Image Segmentation},
	journal = {Discrete Applied Mathematics},
	volume = {157},
	number = {3},
	year = {2008},
	pages = {524-541},
	doi = {10.1016/j.dam.2008.05.031},
	author = {Meine, H. and Ullrich K{\"o}the and Stelldinger, P.}
}
@conference {becker_08_variational,
	title = {A Variational Approach to Adaptive Correlation for Motion Estimation
in Particle Image Velocimetry"},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	note = {1},
	pages = {335-344},
	author = {Florian Becker and Wieneke, B. and Yuan, J. and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08b,
	title = {A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {335--344},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08b,
	title = {A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {335{\textendash}344},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08c,
	title = {Variational Correlation Approach to Flow Measurement with Window Adaption},
	booktitle = {14th International Symposium on Applications of Laser Techniques to Fluid Mechanics},
	year = {2008},
	pages = {1.1.3},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08c,
	title = {Variational Correlation Approach to Flow Measurement with Window Adaption},
	booktitle = {14th International Symposium on Applications of Laser Techniques to Fluid Mechanics},
	year = {2008},
	pages = {1.1.3},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {becker_08_variational2,
	title = {Variational Correlation Approach to Flow Measurement with Window
Adaption},
	booktitle = {14th International Symposium on Applications of Laser Techniques
to Fluid Mechanics},
	year = {2008},
	note = {1},
	pages = {1.1.8},
	author = {Florian Becker and Wieneke, B. and Yuan, J. and Christoph Schn{\"o}rr}
}
@conference {Gosch-Fundana-Heyden-Schnoerr-2008,
	title = {View Point Tracking of Rigid Object Based on Shape Sub-Manifolds},
	booktitle = {Computer Vision -- ECCV 2008},
	volume = {5302},
	year = {2008},
	pages = {251--263},
	publisher = {Springer},
	organization = {Springer},
	author = {Gosch, Christian and Fundana, Ketut and Heyden, Anders and Christoph Schn{\"o}rr}
}
@conference {Gosch-Fundana-Heyden-Schnoerr-2008,
	title = {View Point Tracking of Rigid Object Based on Shape Sub-Manifolds},
	booktitle = {Computer Vision {\textendash} ECCV 2008},
	series = {lncs},
	volume = {5302},
	year = {2008},
	pages = {251{\textendash}263},
	publisher = {Springer},
	organization = {Springer},
	author = {Gosch, Christian and Fundana, Ketut and Heyden, Anders and Christoph Schn{\"o}rr}
}
@article {jaeger_08_weakly,
	title = {Weakly Supervised Learning of a Classifier for Unusual Event Detection},
	journal = {IEEE Transactions on Image Processing},
	volume = {17},
	number = {9},
	year = {2008},
	note = {1},
	pages = {1700-1708},
	doi = {10.1109/TIP.2008.2001043},
	author = {J{\"a}ger, M. and Knoll, C. and Fred A. Hamprecht}
}
@incollection {koethe_08_what,
	title = {What Can We Learn from Discrete Images about the Continuous World},
	volume = {4992},
	year = {2008},
	pages = {4-19},
	publisher = {Springer},
	doi = {10.1007/978-3-540-79126-3_2},
	author = {Ullrich K{\"o}the}
}
@article {jaehne2008b,
	title = {Zukunftsperspektiven der industriellen Bildverarbeitung - Was kann die akademische Forschung beitragen?},
	journal = {Optik \& Photonik},
	volume = {3},
	number = {3},
	year = {2008},
	pages = {28-33},
	doi = {10.1002/opph.201190203},
	author = {Bernd J{\"a}hne}
}
@conference {Hoiem2007,
	title = {3D LayoutCRF for multi-view object class recognition and segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2007},
	abstract = {We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining object-level descriptions (such as position, shape, and color) with pixel-level appearance, boundary, and occlusion reasoning. In training, we exploit a rough 3D object model to learn physically localized part appearances. To find and segment objects in an image, we generate proposals based on the appearance and layout of local parts. The proposals are then refined after incorporating object-level information, and overlapping objects compete for pixels to produce a final description and segmentation of objects in the scene. A further contribution is a novel instance penalty, which is handled very efficiently during inference. We experimentally validate our approach on the challenging PASCAL{\textquoteright}06 car database. {\textcopyright} 2007 IEEE.},
	isbn = {1424411807},
	issn = {10636919},
	doi = {10.1109/CVPR.2007.383045},
	author = {Hoiem, Derek and Carsten Rother and Winn, John}
}
@conference {banerjee2007b,
	title = {An active thermographic technique for highly resolved heat transport measurements in paper drying},
	booktitle = {61st Appita Annual Conference Proceedings},
	year = {2007},
	pages = {161-167},
	publisher = {APPITA},
	organization = {APPITA},
	author = {D. Banerjee and Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne and S. Schabel}
}
@conference {kondermann2007,
	title = {An adaptive confidence measure for optical flows based on linear subspace projections},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	volume = {4713},
	year = {2007},
	pages = {132--141},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used confidence measures, which have been found of at best intermediate quality. Hence, we propose a new confidence measure based on linear subspace projections. The results are compared to the best previously proposed confidence measures with respect to an optimal confidence. Using the proposed measure we are able to improve previous results by up to 31\%.},
	doi = {10.1007/978-3-540-74936-3_14},
	author = {Claudia Kondermann and Daniel Kondermann and Bernd J{\"a}hne and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@conference {garbe2007b,
	title = {Aktive Thermografie f{\"u}r die Untersuchung von Transportprozessen},
	booktitle = {Thermografie-Kolloquium},
	year = {2007},
	pages = {1--8},
	publisher = {Deutsche Gesellschaft f{\"u}r Zerst{\"o}rungsfreie Pr{\"u}fung e.V.},
	organization = {Deutsche Gesellschaft f{\"u}r Zerst{\"o}rungsfreie Pr{\"u}fung e.V.},
	author = {Christoph S. Garbe and D. Banerjee and Uwe Schimpf and Bernd J{\"a}hne}
}
@article {kirchner_07_amsrpm,
	title = {amsrpm: Robust Point Matching in Retention Time Alignment of LC/MS Data with R},
	journal = {Journal of Statistical Software},
	volume = {18},
	number = {4},
	year = {2007},
	note = {1},
	pages = {1-12},
	url = {http://www.jstatsoft.org/v18/i04/paper},
	author = {Kirchner, M. and Saussen, B. and Steen, H. and Judith A. J. Steen and Fred A. Hamprecht}
}
@phdthesis {hering2007,
	title = {Angewandte statistische Optik in der Wei{\ss}licht-Interferometrie: R{\"a}umliches Phasenschieben und Einfluss optisch rauer Oberfl{\"a}chen},
	year = {2007},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {This thesis describes a novel one-shot white-light interferometer for three-dimensional sensing. The method is based on spatial phase shifting which renders mechanical phase shifting unneces-sary. Due to the absence of any mechanical transducers, its static optical setup is well suited for applications outside the laboratory. Its one-shot ability is of great interest for contactless and high precision quality inspection as well as for medical applications. Also, it allows a quanti-tative monitoring of dynamic surface processes. The first part of this thesis describes the development of the optical setup in context of physical limitations and technical requirements, followed by a detailed discussion of single components and their influence onto the accuracy of the system. Furthermore, the statistical properties of speckle patterns, which appear for diffusely scattering samples, are derived. Thus, existing theories, relating the measurement uncertainty of white-light interferometry to the influence of speckle, are extended. By means of simulations and experimental techniques presented in this thesis, it is possible to verify the theoretical predictions and to clarify the consequences. Especially in context of high numerical apertures, these results have to be taken into account to improve the optical setup as well as the performance of signal processing algorithms.},
	url = {http://www.ub.uni-heidelberg.de/archiv/7470/},
	author = {Marco Hering}
}
@conference {Kolmogorov2007a,
	title = {Applications of parametric maxflow in computer vision},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2007},
	abstract = {The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linearly on parameter λ. In this paper we study vision applications for which it is important to solve the max-flow problem for different λ{\textquoteright}s. An example is a weighting between data and regularization terms in image segmentation or stereo: it is desirable to vary it both during training (to learn λ from ground truth data) and testing (to select best λ using high-knowledge constraints, e.g. user input). We review algorithmic aspects of this parametric maximum flow problem previously unknown in vision, such as the ability to compute all breakpoints of λ and corresponding optimal configurations in finite time. These results allow, in particular, to minimize the ratio of some geometric functionals, such as flux of a vector field over length (or area). Previously, such functionals were tackled with shortest path techniques applicable only in 2D. We give theoretical improvements for "PDE cuts" [5]. We present experimental results for image segmentation, 3D reconstruction, and the cosegmentation problem. {\textcopyright}2007 IEEE.},
	doi = {10.1109/ICCV.2007.4408910},
	author = {Kolmogorov, Vladimir and Boykov, Yuri and Carsten Rother}
}
@conference {Kolmogorov2007b,
	title = {Applications of parametric maxflow in computer vision},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2007},
	abstract = {The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linearly on parameter λ. In this paper we study vision applications for which it is important to solve the max-flow problem for different λ{\textquoteright}s. An example is a weighting between data and regularization terms in image segmentation or stereo: it is desirable to vary it both during training (to learn λ from ground truth data) and testing (to select best λ using high-knowledge constraints, e.g. user input). We review algorithmic aspects of this parametric maximum flow problem previously unknown in vision, such as the ability to compute all breakpoints of λ and corresponding optimal configurations in finite time. These results allow, in particular, to minimize the ratio of some geometric functionals, such as flux of a vector field over length (or area). Previously, such functionals were tackled with shortest path techniques applicable only in 2D. We give theoretical improvements for "PDE cuts" [5]. We present experimental results for image segmentation, 3D reconstruction, and the cosegmentation problem. {\textcopyright}2007 IEEE.},
	doi = {10.1109/ICCV.2007.4408910},
	author = {Kolmogorov, Vladimir and Boykov, Yuri and Carsten Rother}
}
@article {kelm_07_automated,
	title = {Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification},
	journal = {Magnetic Resonance in Medicine},
	volume = {57},
	number = {1},
	year = {2007},
	note = {1},
	pages = {150-159},
	doi = {10.1002/mrm.21112},
	author = {B. Michael Kelm and Bjoern H. Menze and C. M. Zechmann and Baudendistel, K. T. and Fred A. Hamprecht}
}
@conference {menze_07_classification,
	title = {Classification of multispectral ASTER imagery in the archaeological survey for settlement sites of the Near East},
	booktitle = {Proc 10th International Symposium on Physical Measurements and Signature in Remote Sensing (ISPMRS 07), Davos, Switzerland},
	year = {2007},
	note = {1},
	publisher = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
	organization = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
	author = {Bjoern H. Menze and Ur, J. A.}
}
@conference {Kannan2007,
	title = {Clustering appearance and shape by learning jigsaws},
	booktitle = {Advances in Neural Information Processing Systems},
	year = {2007},
	pages = {657{\textendash}664},
	abstract = {Patch-based appearance models are used in a wide range of computer vision applications. To learn such models it has previously been necessary to specify a suitable set of patch sizes and shapes by hand. In the jigsaw model presented here, the shape, size and appearance of patches are learned automatically from the repeated structures in a set of training images. By learning such irregularly shaped {\textquoteright}jigsaw pieces{\textquoteright}, we are able to discover both the shape and the appearance of object parts without supervision. When applied to face images, for example, the learned jigsaw pieces are surprisingly strongly associated with face parts of different shapes and scales such as eyes, noses, eyebrows and cheeks, to name a few. We conclude that learning the shape of the patch not only improves the accuracy of appearance-based part detection but also allows for shape-based part detection. This enables parts of similar appearance but different shapes to be distinguished; for example, while foreheads and cheeks are both skin colored, they have markedly different shapes.},
	isbn = {9780262195683},
	issn = {10495258},
	doi = {10.7551/mitpress/7503.003.0087},
	author = {Kannan, Anitha and Winn, John and Carsten Rother}
}
@conference {Kannan2007a,
	title = {Clustering appearance and shape by learning jigsaws},
	booktitle = {Advances in Neural Information Processing Systems},
	year = {2007},
	pages = {657{\textendash}664},
	abstract = {Patch-based appearance models are used in a wide range of computer vision applications. To learn such models it has previously been necessary to specify a suitable set of patch sizes and shapes by hand. In the jigsaw model presented here, the shape, size and appearance of patches are learned automatically from the repeated structures in a set of training images. By learning such irregularly shaped {\textquoteright}jigsaw pieces{\textquoteright}, we are able to discover both the shape and the appearance of object parts without supervision. When applied to face images, for example, the learned jigsaw pieces are surprisingly strongly associated with face parts of different shapes and scales such as eyes, noses, eyebrows and cheeks, to name a few. We conclude that learning the shape of the patch not only improves the accuracy of appearance-based part detection but also allows for shape-based part detection. This enables parts of similar appearance but different shapes to be distinguished; for example, while foreheads and cheeks are both skin colored, they have markedly different shapes.},
	isbn = {9780262195683},
	issn = {10495258},
	doi = {10.7551/mitpress/7503.003.0087},
	author = {Kannan, Anitha and Winn, John and Carsten Rother}
}
@article {weber_07_comparison,
	title = {Comparison of correctness of manuel and automatic evaluation of MR-spectrum with prostrate cancer},
	journal = {Der Urologe},
	volume = {46},
	number = {9},
	year = {2007},
	pages = {1252},
	doi = {10.1007/s00120-007-1488-1},
	author = {C. Weber and C. M. Zechmann and B. Michael Kelm and Zamecnik, R. and Hendricks, D. and Waldherr, R. and Fred A. Hamprecht and Delorme, S. and Bachert, P. and Ikinger, U.}
}
@incollection {jaehne2007b,
	title = {Complex motion in environmental physics and live sciences},
	volume = {3417},
	year = {2007},
	pages = {92--105},
	publisher = {Springer},
	abstract = {Image sequence processing techniques are an essential tool for the experimental investigation of dynamical processes such as exchange, growth, and transport processes. These processes constitute much more complex motions than normally encountered in computer vision. In this paper, optical flow based motion analysis is extended into a generalized framework to estimate the motion field and the parameters of dynamic processes simultaneously. Examples from environmental physics and live sciences illustrate how this framework helps to tackles some key scientific questions that could not be solved without taking and analyzing image sequences.},
	doi = {10.1007/978-3-540-69866-1_8},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne}
}
@book {jaehne2007a,
	title = {Complex Motion, Proceedings of the 1st Workshop, G{\"u}nzburg, October 2004},
	volume = {3417},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-69866-1},
	author = {Bernd J{\"a}hne},
	editor = {Mester, R. and Hanno Scharr and Erhardt Barth}
}
@conference {ommer:EMMCVPR:2007,
	title = {Compositional Object Recognition, Segmentation, and Tracking in Video},
	booktitle = {Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition},
	volume = {4679},
	year = {2007},
	pages = {318--333},
	publisher = {Springer},
	organization = {Springer},
	author = {Bj{\"o}rn Ommer and J. M. Buhmann}
}
@incollection {jaehne2007c,
	title = {Data acquisition by imaging detectors},
	year = {2007},
	pages = {1419--1436},
	publisher = {Springer},
	chapter = {24},
	abstract = {Imaging sensors convert radiative energy into an electrical signal and such sensors are available that cover the wide spectrum from gamma rays to the infrared. They accumulate an electrical signal during the exposure time and convert all the signals of an array of detectors into a time-serial analog or digital data stream. The dominate and most successful devices to perform this task are charge coupled devices (CCD). However directly addressable imaging sensors on the basis of CMOS fabrication technology are becoming more and more promising because the image acquisition, digitalization and preprocessing can be integrated on a single chip; hence yielding very fast frame rates. This chapter provides a comprehensive survey of the available imaging sensors, details the parameters that control their performance and gives practical tips to select the best camera for different imaging tasks.},
	doi = {10.1007/978-3-540-30299-5_24},
	author = {Bernd J{\"a}hne},
	editor = {C. Tropea and J. Foss and A. Yarin}
}
@incollection {jaehne2007d,
	title = {Data analysis},
	year = {2007},
	pages = {1437--1491},
	publisher = {Springer},
	chapter = {25},
	abstract = {From the beginning of science, visual observation has played a major role. At that time, the only way to document the results of an experiment was by verbal description and manual drawings. The next major step was the invention of photography more than one and a half centuries ago, which enabled experimental results to be documented objectively. In experimental fluid mechanics, flow visualization techniques gave direct insight into complex flows, but it was very difficult and time consuming to extract quantitative measurements from photographs and films. Nowadays, we are in the middle of a second revolution sparked by the rapid progress in both photonics and computer technology. Sensitive solid-state cameras are available that acquire digital image data, and standard personal computers and workstations have become powerful enough to process these data. These technologies are now available to any scientist or engineer. As a consequence, image processing has expanded and continues to expand rapidly from a few specialized applications into a standard scientific tool. This chapter gives a brief presentation of some of the most important general image processing techniques that are required to process image data in experimental fluid mechanics. The second section (Sect. 25.2) deals with motion analysis. The most important methods are introduced and classified according to the fundamental principles, assumptions and approximations upon which they are based.},
	doi = {10.1007/978-3-540-30299-5_25},
	author = {Bernd J{\"a}hne and Michael Klar and Markus Jehle},
	editor = {C. Tropea and J. Foss and A. Yarin}
}
@article {Yuan-et-al-jmiv-06,
	title = {Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation},
	journal = {J.~Math.~Imag.~Vision},
	volume = {28},
	year = {2007},
	pages = {67-80},
	author = {Yuan, J. and Christoph Schn{\"o}rr and M{\'e}min, E.}
}
@conference {Sellen2007,
	title = {Do life-logging technologies support memory for the past? An experimental study using sensecam},
	booktitle = {Conference on Human Factors in Computing Systems - Proceedings},
	year = {2007},
	pages = {81{\textendash}90},
	abstract = {We report on the results of a study using SenseCam, a "life- logging" technology in the form of a wearable camera, which aims to capture data about everyday life in order to support people{\textquoteright}s memory for past, personal events. We find evidence that SenseCam images do facilitate people{\textquoteright}s ability to connect to their past, but that images do this in different ways. We make a distinction between "remembering" the past, and "knowing" about it, and provide evidence that SenseCam images work differently over time in these capacities. We also compare the efficacy of user-captured images with automatically captured images and discuss the implications of these findings and others for how we conceive of and make claims about life-logging technologies. {\textcopyright} Copyright 2007 ACM.},
	keywords = {Capture, Episodic or autobiographical memory, Images, Life-logging, Personal digital archives, SenseCam},
	isbn = {1595935932},
	doi = {10.1145/1240624.1240636},
	author = {Sellen, Abigail and Fogg, Andrew and Aitken, Mike and Hodges, Steve and Carsten Rother and Wood, Ken}
}
@conference {scholz2007,
	title = {Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation},
	booktitle = {7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept.},
	year = {2007},
	author = {J. Scholz and T. Wiersbinski and Paul Ruhnau and Daniel Kondermann and Christoph S. Garbe and R. Hain and Volker Beushausen}
}
@article {Criminisi2007,
	title = {Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming},
	journal = {International Journal of Computer Vision},
	volume = {71},
	number = {1},
	year = {2007},
	pages = {89{\textendash}110},
	publisher = {Kluwer Academic Publishers},
	abstract = {A new algorithm is proposed for efficient stereo and novel view synthesis. Given the video streams acquired by two synchronized cameras the proposed algorithm synthesises images from a virtual camera in arbitrary position near the physical cameras. The new technique is based on an improved, dynamic-programming, stereo algorithm for efficient novel view generation. The two main contributions of this paper are: (i) a new four state matching graph for dense stereo dynamic programming, that supports accurate occlusion labelling; (ii) a compact geometric derivation for novel view synthesis by direct projection of the minimum cost surface. Furthermore, the paper presents an algorithm for the temporal maintenance of a background model to enhance the rendering of occlusions and reduce temporal artefacts (flicker); and a cost aggregation algorithm that acts directly in the three-dimensional matching cost space. The proposed algorithm has been designed to work with input images with large disparity range, a common practical situation. The enhanced occlusion handling capabilities of the new dynamic programming algorithm are evaluated against those of the most powerful state-of-the-art dynamic programming and graph-cut techniques. Four-state DP is also evaluated against the disparity-based Middlebury error metrics and its performance found to be amongst the best of the efficient algorithms. A number of examples demonstrate the robustness of four-state DP to artefacts in stereo video streams. This includes demonstrations of cyclopean view synthesis in extended conversational sequences, synthesis from a freely translating virtual camera and, finally, basic 3D scene editing. {\textcopyright} 2006 Springer Science + Business Media, LLC.},
	keywords = {Dense stereo, Gaze correction, Image-based rendering, Video-conferencing},
	issn = {09205691},
	doi = {10.1007/s11263-006-8525-1},
	author = {Criminisi, A and Blake, A and Carsten Rother and Shotton, J and Torr, P. H.S.}
}
@incollection {garbe2007c,
	title = {Estimating the viscous shear stress at the water surface from active thermography},
	year = {2007},
	pages = {223--239},
	publisher = {Springer-Verlag},
	abstract = {A novel technique is presented that makes it possible to measure the viscous shear stress from active thermography. With a CO2 laser, patterns are written to the sea surface. This temperature structure is distorted by the linear velocity profile in the viscous boundary layer. Due to the non-zero penetration depth of both the laser and the infrared camera, this vertical velocity profile can be resolved. By resolving the velocity profile, the viscous shear stress can be extracted from the recorded image sequences. At the same time, the flow field at the water surface can be measured accurately. Estimating both quantities is only possible by modeling the imaging process as well as the velocity profile in the boundary layer. The model parameters can then be computed in a standard parameter estimation framework. This novel technique was tested both on simulated data and on measurements conducted in a small annular wind-wave flume. The friction velocity computed in this fashion compared favorably to independent measurements. Although not tested yet, this technique should be equally applicable to field measurements.},
	doi = {10.1007/978-3-540-36906-6_16},
	author = {Kai Degreif and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Christoph S. Garbe and Handler, R. A.}
}
@incollection {hara2007,
	title = {Estimation of air-sea gas and heat fluxes from infrared imagery based on near surface turbulence models},
	year = {2007},
	publisher = {Springer-Verlag},
	abstract = {Water surface infrared images were obtained during the GASEX2001 experiment in the South Equatorial Pacific waters and during the laboratory experiment in the AEOLOTRON wind wave tank at University of Heidelberg in October 2004. The infrared imagery during these experiments reveals coexistence of roller type turbulence and intermittent breaking events. Previous interpretations of the infrared images relied on the surface renewal model, in which the water surface is assumed to be occasionally renewed by bursts of turbulent eddies reaching the water surface. A new complementary model (eddy renewal model) based on stationary and spatially periodic turbulent eddies is developed to reinterpret the infrared images of near surface turbulence. The model predicts warm elongated patches bounded by cold streaks aligned with mean wind, being consistent with field and laboratory infrared images. The model yields bulk temperature estimates and mean heat flux estimates that are very close to those based on the surface renewal model.},
	doi = {10.1007/978-3-540-36906-6_17},
	author = {T. Hara and VanInwegen, E. and J. Wendelbo and Uwe Schimpf and Bernd J{\"a}hne and Nelson M. Frew and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Christoph S. Garbe and Handler, R. A.}
}
@article {Schellewald-et-al-07,
	title = {Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views},
	journal = {Image Vision Comp.},
	volume = {25},
	year = {2007},
	pages = {1301--1314},
	author = {Schellewald, C. and Roth, S. and Christoph Schn{\"o}rr}
}
@article {Schellewald-et-al-07,
	title = {Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views},
	journal = {Image Vision Comp.},
	volume = {25},
	year = {2007},
	pages = {1301{\textendash}1314},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.}
}
@phdthesis {kelm_07_evaluation,
	title = {Evaluation of Vector-Valued Clinical Image Data Using Probabilistic Graphical Models: Quantification and Pattern Recognition},
	year = {2007},
	publisher = {University of Heidelberg},
	author = {B. Michael Kelm}
}
@mastersthesis {rapp2007a,
	title = {Experimental and Theoretical Investigation of Correlating TOF-Camera Systems},
	year = {2007},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Universit{\"a}t Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/7666},
	author = {Holger Rapp}
}
@conference {garbe2007,
	title = {Fluid flow estimation through integration of physical flow configurations},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {92--101},
	publisher = {Springer},
	organization = {Springer},
	abstract = {The measurement of fluid flows is an emerging field for optical flow computation. In a number of such applications, a tracer is visualized with modern digital cameras. Due to the projective nature of the imaging process, the tracer is integrated across a velocity profile. In this contribution, a novel technique is presented that explicitly models brightness changes due to this integration. Only through this modeling is an accurate estimation of the flow velocities feasible. Apart from an accurate measurement of the fluid flow, also the underlying velocity profile can be reconstructed. Applications from shear flow, microfluidics and a biological applications are presented.},
	doi = {10.1007/978-3-540-74936-3_10},
	author = {Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@conference {menze_07_from,
	title = {From eigenspots to fisherspots -- latent spaces in the nonlinear detection of spot patterns in a highly variable background},
	booktitle = {Advances in data analysis},
	volume = {33},
	year = {2007},
	note = {1},
	pages = {255-262},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-70981-7_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht},
	editor = {Lenz, H.-J. and Decker, R.}
}
@article {Blake2007,
	title = {Fusion of stereo, colour and contrast},
	journal = {Springer Tracts in Advanced Robotics},
	volume = {28},
	year = {2007},
	issn = {16107438},
	doi = {10.1007/978-3-540-48113-3_27},
	url = {www.research.microsoft.com/vision/cambridge},
	author = {Blake, A and Criminisi, A and Cross, G and Kolmogorov, V and Carsten Rother}
}
@article {schmaehling_07_generalizing,
	title = {Generalizing the Abbott-Firestone curve by two new surface descriptors},
	journal = {Wear},
	volume = {262},
	year = {2007},
	note = {1},
	pages = {1360-1371},
	doi = {10.1016/j.wear.2007.01.025},
	author = {Schm{\"a}hling, J. and Fred A. Hamprecht}
}
@conference {Karim-et-al-07,
	title = {Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification},
	booktitle = {Pattern Recognition -- 29th DAGM Symposium},
	volume = {4713},
	year = {2007},
	pages = {395-404},
	publisher = {Springer},
	organization = {Springer},
	author = {Karim, R. and Bergtholdt, M. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Karim-et-al-07,
	title = {Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification},
	booktitle = {Pattern Recognition {\textendash} 29th DAGM Symposium},
	series = {LCNS},
	volume = {4713},
	year = {2007},
	pages = {395-404},
	publisher = {Springer},
	organization = {Springer},
	author = {Karim, R. and Bergtholdt, M. and Kappes, J. H. and Schn{\"o}rr, C.}
}
@mastersthesis {renard_07_improved,
	title = {An Improved Method for Peak Identification in Proteomic Mass Spectrometry Data},
	year = {2007},
	school = {University of Heidelberg},
	author = {B. Y. Renard}
}
@conference {withopf2007a,
	title = {Improved training algorithm for tree-like classifiers and its application to vehicle detection},
	booktitle = {Proc. IEEE Intelligent Transportation Systems Conference (ITSC)},
	year = {2007},
	pages = {642--647},
	abstract = {We propose a new training algorithm for tree classifiers and cascades for object detection and compare it to a standard algorithm for cascade training. Our experiments show that the proposed algorithm significantly reduces the number of features needed per stage by incorporating the output of the previous stage as a weak learner into the next stage. This approach also speeds up the classification while maintaining the same detection accuracy. The analysis of the features selected by the algorithm provides further insights into its functioning.},
	doi = {10.1109/ITSC.2007.4357644},
	author = {Daniel Withopf and Bernd J{\"a}hne}
}
@incollection {jaehne2007f,
	title = {The influence of intermittency on air/water gas transfer measurements},
	year = {2007},
	publisher = {Springer-Verlag},
	abstract = {This paper theoretically investigates the influence of intermittency on determining average transfer velocities using different measuring techniques. It is shown that all measuring techniques can significantly be biased by intermittency. Mass balance and eddy correlation measurements are only biased when the concentration difference between the air and the water is spatially or temporally inhomogeneous over the measurement interval. Mean transfer velocities calculated either from mean boundary layer thicknesses or from thermographic techniques, which compute the mean transfer velocity either from concentration differences of from time constants, are biased toward lower values. The effects can be large and a simple stochastic bimodal model is used to estimate the effect.},
	doi = {10.1007/978-3-540-36906-6_18},
	author = {Bernd J{\"a}hne and Christopher Popp and Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Handler, R. A.}
}
@article {Gall-et-al-07,
	title = {Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications},
	journal = {J.~Math.~Imag.~Vision},
	volume = {28},
	year = {2007},
	pages = {1--18},
	author = {Gall, J{\"u}rgen and Potthoff, J{\"u}rgen and Christoph Schn{\"o}rr and Rosenhahn, Bodo and Hans-Peter Seidel}
}
@article {Gall-et-al-07,
	title = {Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications},
	journal = {J. Math. Imag. Vision},
	volume = {28},
	year = {2007},
	pages = {1{\textendash}18},
	author = {Gall, J{\"u}rgen and Potthoff, J{\"u}rgen and Christoph Schn{\"o}rr and Rosenhahn, Bodo and Seidel, Hans-Peter}
}
@mastersthesis {frank_07_investigation,
	title = {Investigation of a 3D Camera},
	year = {2007},
	school = {University of Heidelberg},
	author = {Mario Frank}
}
@techreport {rocholz2007,
	title = {Kalibrierung der Color Imaging Slope Gauge \& Auswertung der Wellenmessungen},
	year = {2007},
	institution = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg},
	author = {Roland Rocholz}
}
@conference {ommer:CVPR:2007,
	title = {Learning the Compositional Nature of Visual Objects},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
	year = {2007},
	pages = {1--8},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Bj{\"o}rn Ommer and J. M. Buhmann}
}
@conference {Lempitsky2007,
	title = {LogCut - Efficient graph cut optimization for markov random fields},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2007},
	abstract = {Markov Random Fields (MRFs) are ubiquitous in low-level computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to α-expansion it is based on iterative application of binary graph cut. However, the number of binary graph cuts required to compute a labelling grows only logarithmically with the size of label space, instead of linearly. We demonstrate that for applications such as optical flow, image restoration, and high resolution stereo, this gives an order of magnitude speed-up, for comparable energies. Iterations are performed by "fusion" of solutions, done with QPBO which is related to graph cut but can deal with non-submodularity. At convergence, the method achieves optima on a par with the best competitors, and sometimes even exceeds them. {\textcopyright}2007 IEEE.},
	doi = {10.1109/ICCV.2007.4408907},
	author = {Lempitsky, Victor and Carsten Rother and Blake, Andrew}
}
@phdthesis {garbe2007a,
	title = {Measuring and Modeling Fluid Dynamic Processes using Digital Image Sequence Analysis},
	volume = {Habilitation},
	year = {2007},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdHabilitation thesis},
	doi = {10.11588/heidok.00019717},
	author = {Garbe, C. S.}
}
@phdthesis {garbe2007a,
	title = {Measuring and Modeling Fluid Dynamic Processes using Digital Image Sequence Analysis},
	year = {2007},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Christoph S. Garbe}
}
@article {Welk-et-al-07,
	title = {Median and related local filters for tensor-valued images},
	journal = {Signal Processing},
	volume = {87},
	year = {2007},
	pages = {291-308},
	author = {Welk, M. and Weickert, J. and Florian Becker and Christoph Schn{\"o}rr and Feddern, C. and Burgeth, B.}
}
@article {Welk-et-al-07,
	title = {Median and related local filters for tensor-valued images},
	journal = {Signal Processing},
	volume = {87},
	year = {2007},
	pages = {291-308},
	author = {Welk, M. and Weickert, J. and Florian Becker and Schn{\"o}rr, C. and Feddern, C. and Burgeth, B.}
}
@booklet {Kolmogorov2007,
	title = {Minimizing nonsubmodular functions with graph cuts - A review},
	howpublished = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {29},
	number = {7},
	year = {2007},
	pages = {1274{\textendash}1279},
	abstract = {Optimization techniques based on graph cuts have become a standard tool for many vision applications. These techniques allow to minimize efficiently certain energy functions corresponding to pairwise Markov Random Fields (MRFs). Currently, there is an accepted view within the computer vision community that graph cuts can only be used for optimizing a limited class of MRF energies (e.g., submodular functions). In this survey, we review some results that show that graph cuts can be applied to a much larger class of energy functions (in particular, nonsubmodular functions). While these results are well-known in the optimization community, to our knowledge they were not used in the context of computer vision and MRF optimization. We demonstrate the relevance of these results to vision on the problem of binary texture restoration. {\textcopyright} 2007 IEEE.},
	keywords = {energy minimization, Markov random fields, Min cut/max flow, Quadratic pseudo-Boolean optimization, Texture restoration},
	issn = {01628828},
	doi = {10.1109/TPAMI.2007.1031},
	author = {Kolmogorov, Vladimir and Carsten Rother}
}
@mastersthesis {andres_07_model,
	title = {Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis},
	year = {2007},
	note = {1},
	school = {University of Heidelberg},
	author = {Bj{\"o}rn Andres}
}
@mastersthesis {andres2007a,
	title = {Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis},
	year = {2007},
	school = {University of Heidelberg},
	author = {Bj{\"o}rn Andres}
}
@phdthesis {goerlitz_07_modern,
	title = {Modern Concepts for Semi-Supervised Learning and Multidimensional Image Processing},
	year = {2007},
	publisher = {University of Heidelberg},
	author = {G{\"o}rlitz, L.}
}
@article {menze_07_multivariate,
	title = {Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathy},
	journal = {Analytical and Bioanalytical Chemistry},
	volume = {387},
	number = {5},
	year = {2007},
	note = {1},
	pages = {1801-1807},
	doi = {10.1007/s00216-006-1070-5},
	author = {Bjoern H. Menze and Petrich, W. and Fred A. Hamprecht}
}
@conference {sigg:MLSP:2007,
	title = {Nonnegative CCA for Audiovisual Source Separation},
	booktitle = {International Workshop on Machine Learning for Signal Processing},
	year = {2007},
	pages = {253--258},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Sigg, C. and B. Fischer and Bj{\"o}rn Ommer and Roth, V. and J. M. Buhmann}
}
@article {Ruhnau-Schnoerr-EiF07,
	title = {Optical Stokes Flow Estimation: An Imaging-Based Control Approach},
	journal = {Exp.~in Fluids},
	volume = {42},
	year = {2007},
	pages = {61--78},
	author = {Paul Ruhnau and Christoph Schn{\"o}rr}
}
@article {Ruhnau-Schnoerr-EiF07,
	title = {Optical Stokes Flow Estimation: An Imaging-Based Control Approach},
	journal = {Exp. in Fluids},
	volume = {42},
	year = {2007},
	pages = {61{\textendash}78},
	author = {Ruhnau, P. and Schn{\"o}rr, C.}
}
@conference {Rother2007a,
	title = {Optimizing binary MRFs via extended roof duality},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2007},
	abstract = {Many computer vision applications rely on the efficient optimization of challenging, so-called non-submodular, binary pairwise MRFs. A promising graph cut based approach for optimizing such MRFs known as "roof duality" was recently introduced into computer vision. We study two methods which extend this approach. First, we discuss an efficient implementation of the "probing" technique introduced recently by Boros et al. [5]. It simplifies the MRF while preserving the global optimum. Our code is 400-700 faster on some graphs than the implementation of [5]. Second, we present a new technique which takes an arbitrary input labeling and tries to improve its energy. We give theoretical characterizations of local minima of this procedure. We applied both techniques to many applications, including image segmentation, new view synthesis, superresolution, diagram recognition, parameter learning, texture restoration, and image deconvolution. For several applications we see that we are able to find the global minimum very efficiently, and considerably outperform the original roof duality approach. In comparison to existing techniques, such as graph cut, TRW, BP, ICM, and simulated annealing, we nearly always find a lower energy. {\textcopyright} 2007 IEEE.},
	isbn = {1424411807},
	issn = {10636919},
	doi = {10.1109/CVPR.2007.383203},
	author = {Carsten Rother and Kolmogorov, Vladimir and Lempitsky, Victor and Szummer, Martin}
}
@article {Rother2007,
	title = {Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46},
	journal = {Computing},
	year = {2007},
	abstract = {Many computer vision applications rely on the efficient optimization of challenging, so-called non-submodular, binary pairwise MRFs. A promising graph cut based approach for optimizing such MRFs known as "roof duality" was recently introduced into computer vision. We study two methods which extend this approach. First, we discuss an efficient implementation of the "probing" technique introduced recently by Boros et al. [8]. It simplifies the MRF while preserving the global optimum. Our code is 400-700 faster on some graphs than the implementation of [8]. Second , we present a new technique which takes an arbitrary input labeling and tries to improve its energy. We give theoretical characterizations of local minima of this procedure. We applied both techniques to many applications, including image segmentation, new view synthesis, super-resolution, diagram recognition, parameter learning, texture restoration, and image deconvolution. For several applications we see that we are able to find the global minimum very efficiently, and considerably outperform the original roof duality approach. In comparison to existing techniques , such as graph cut, TRW, BP, ICM, and simulated annealing, we nearly always find a lower energy.},
	url = {http://research.microsoft.com/vision/cambridge/},
	author = {Carsten Rother and Kolmogorov, Vladimir and Lempitsky, Victor and Szummer, Martin}
}
@proceedings {DAGM07,
	title = {Pattern Recognition {\textendash} 29th DAGM Symposium},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	editor = {Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@book {hamprecht_07_pattern,
	title = {Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3},
	editor = {Fred A. Hamprecht and Bernd J{\"a}hne and Christoph Schn{\"o}rr}
}
@proceedings {hamprecht2007,
	title = {Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	doi = {10.1007/978-3-540-74936-3},
	author = {Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@phdthesis {menze_07_mustererkennung,
	title = {Pattern Recognition in the Quantitative Analysis of Vector-Valued Image Data: Diagnostic Systems and Applications},
	year = {2007},
	publisher = {University of Heidelberg},
	author = {Bjoern H. Menze}
}
@article {preusser2007,
	title = {A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.},
	journal = {SIAM Journal of Applied Mathematics},
	volume = {68},
	year = {2007},
	pages = {599-618},
	abstract = {The estimation of optical flow fields from image sequences is incorporated in a Mumford/Shah approach for image denoising and edge detection. Possibly noisy image sequences are considered as input and a piecewise smooth image intensity, a piecewise smooth motion field, and a joint discontinuity set are obtained as minimizers of the functional. The method simultaneously detects image edges and motion field discontinuities in a rigorous and robust way. It is able to handle information on motion that is concentrated on edges. Inherent to it is a natural multiscale approximation that is closely related to the phase field approximation for edge detection by Ambrosio and Tortorelli. We present an implementation for two-dimensional image sequences with finite elements in space and time. This leads to three linear systems of equations, which have to be solved in a suitable iterative minimization procedure. Numerical results and different applications underline the robustness of the approach presented.},
	doi = {10.1137/060677409},
	author = {Preusser, T. and Marc Droske and Christoph S. Garbe and Martin Rumpf and Alexandru Telea}
}
@mastersthesis {baus2007,
	title = {Phasenmessende Streifenreflektometrie mit Stereo-Monitor-Anordnung zur Vermessung von nicht stetigen spiegelnden Pr{\"a}zisionsfl{\"a}chen},
	year = {2007},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Uwe Baus}
}
@conference {Lalonde2007,
	title = {Photo clip art},
	booktitle = {Proceedings of the ACM SIGGRAPH Conference on Computer Graphics},
	year = {2007},
	abstract = {We present a system for inserting new objects into existing photographs by querying a vast image-based object library, pre-computed using a publicly available Internet object database. The central goal is to shield the user from all of the arduous tasks typically involved in image compositing. The user is only asked to do two simple things: 1) pick a 3D location in the scene to place a new object; 2) select an object to insert using a hierarchical menu. We pose the problem of object insertion as a data-driven, 3D-based, context-sensitive object retrieval task. Instead of trying to manipulate the object to change its orientation, color distribution, etc. to fit the new image, we simply retrieve an object of a specified class that has all the required properties (camera pose, lighting, resolution, etc) from our large object library. We present new automatic algorithms for improving object segmentation and blending, estimating true 3D object size and orientation, and estimating scene lighting conditions. We also present an intuitive user interface that makes object insertion fast and simple even for the artistically challenged. {\textcopyright} 2007 ACM.},
	keywords = {3D scene reasoning, Blending and compositing, Computational photography, Image databases, Object insertion},
	doi = {10.1145/1275808.1276381},
	url = {http://graphics.cs.cmu.edu/projects/photoclipart/},
	author = {Lalonde, Jean Fran{\c c}ois and Hoiem, Derek and Efros, Alexei A and Carsten Rother and Winn, John and Criminisi, Antonio}
}
@phdthesis {trittler_07_processing,
	title = {Processing of Interferometric Data},
	year = {2007},
	publisher = {University of Heidelberg},
	author = {Trittler, S.}
}
@mastersthesis {koenig_07_quality,
	title = {Quality Control in Mass Spectrometry},
	year = {2007},
	note = {1},
	school = {University of Heidelberg},
	author = {K{\"o}nig, T.}
}
@conference {schmidt2007,
	title = {Range flow estimation based on photonic mixing device data},
	booktitle = {Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007},
	year = {2007},
	publisher = {ZESS, Univ.\ Siegen},
	organization = {ZESS, Univ.\ Siegen},
	author = {Schmidt, Martin and Markus Jehle and Bernd J{\"a}hne}
}
@phdthesis {withopf2007,
	title = {Reliable Real-Time Vehicle Detection and Tracking},
	year = {2007},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	url = {http://d-nb.info/98745398X},
	author = {Daniel Withopf}
}
@mastersthesis {saussen_07_retention,
	title = {Retention Time Domain Registration of Liquid Chromatography/Mass Spectrometry Data},
	year = {2007},
	school = {University of Heidelberg},
	author = {Saussen, B.}
}
@booklet {goerlitz_07_schnelle,
	title = {Schnelle 3D-Vermessung von Partikeln in Rasterelektronenmiskroskopen mit Hilfe eines R{\"u}cksteuerdetektors},
	year = {2007},
	author = {G{\"o}rlitz, L. and Singh, M. and Sch{\"u}tzbach, P.}
}
@conference {andres_07_selection,
	title = {Selection of Local Optical Flow Models by Means of Residual Analysis},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {72-81},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph S. Garbe},
	editor = {Christoph Schn{\"o}rr and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@conference {andres2007,
	title = {Selection of local optical flow models by means of residual analysis},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {72--81},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric models of local optical flow. These models give rise to parameter estimation problems with highly correlated errors in variables (EIV). Regression is hence performed by equilibrated total least squares. The authors suggest to adaptively select motion models by testing local empirical regression residuals to be in accordance with the probability distribution that is theoretically predicted by the EIV model. Motion estimation with residual-based model selection is examined on artificial sequences designed to test specifically for the properties of the model selection process. These simulations indicate a good performance in the exclusion of inappropriate models and yield promising results in model complexity control.},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht}
}
@conference {goerlitz_07_semi,
	title = {Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {224-233},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_23},
	author = {G{\"o}rlitz, L. and Bjoern H. Menze and M.-A. Weber and B. Michael Kelm},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@article {Schnoerr-Computing-07,
	title = {Signal and Image Approximation with Level-Set Constraints},
	journal = {Computing},
	volume = {81},
	year = {2007},
	pages = {137-160},
	author = {Christoph Schn{\"o}rr}
}
@article {Schnoerr-Computing-07,
	title = {Signal and Image Approximation with Level-Set Constraints},
	journal = {Computing},
	volume = {81},
	year = {2007},
	pages = {137-160},
	author = {Schn{\"o}rr, C.}
}
@article {Yuan-et-al-SIAM07,
	title = {Simultaneous Optical Flow Estimation and Decomposition},
	journal = {SIAM J.~Scientific Computing},
	volume = {29},
	number = {6},
	year = {2007},
	pages = {2283-2304},
	author = {Yuan, J. and Christoph Schn{\"o}rr and Steidl, G.}
}
@article {Yuan-et-al-SIAM07,
	title = {Simultaneous Optical Flow Estimation and Decomposition},
	journal = {SIAM J. Scientific Computing},
	volume = {29},
	number = {6},
	year = {2007},
	pages = {2283-2304},
	author = {Yuan, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@conference {Schmidt-et-al-07,
	title = {Spine Detection and Labeling Using a Parts-Based Graphical Model},
	booktitle = {Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007)},
	volume = {4584},
	year = {2007},
	pages = {122-133},
	publisher = {Springer},
	organization = {Springer},
	author = {Schmidt, S. and J{\"o}rg H. Kappes and Bergtholdt, M. and Pekar, V. and Dries, S. and Bystrov, D. and Christoph Schn{\"o}rr}
}
@conference {Schmidt-et-al-07,
	title = {Spine Detection and Labeling Using a Parts-Based Graphical Model},
	booktitle = {Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007)},
	series = {LCNS},
	volume = {4584},
	year = {2007},
	pages = {122-133},
	publisher = {Springer},
	organization = {Springer},
	author = {Schmidt, S. and Kappes, J. H. and Bergtholdt, M. and Pekar, V. and Dries, S. and Bystrov, D. and Schn{\"o}rr, C.}
}
@mastersthesis {hayn_07_statistical,
	title = {Statistical analysis of spatio-temporal patterns in global NOX satellite data},
	year = {2007},
	school = {University of Heidelberg},
	author = {Hayn, M.}
}
@conference {rapp2007,
	title = {A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras},
	booktitle = {Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007},
	year = {2007},
	publisher = {ZESS, Univ.\ Siegen},
	organization = {ZESS, Univ.\ Siegen},
	author = {Holger Rapp and Mario Frank and Fred A. Hamprecht and Bernd J{\"a}hne}
}
@phdthesis {jaeger_07_time,
	title = {Time Series Analysis and Classification with State-Space Models for Industrial Processes and the Life Sciences},
	year = {2007},
	note = {1},
	publisher = {University of Heidelberg},
	author = {J{\"a}ger, M.}
}
@conference {petra-wmm07,
	title = {Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems},
	booktitle = {Proc. 6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 07)},
	year = {2007},
	month = {Sept. 5-Sept. 9},
	publisher = {Ed Acad Romane, Bucuresti},
	organization = {Ed Acad Romane, Bucuresti},
	address = {Constanta, Romania},
	author = {Petra, S. and Schn{\"o}rr, C. and A. Schr{\"o}der and B. Wieneke}
}
@book {garbe2007d,
	title = {Transport at the Air Sea Interface --- Measurements, Models and Parameterizations},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-36906-6},
	url = {http://hci.iwr.uni-heidelberg.de/publications/dip/2007/TASI/index.html},
	author = {Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Handler, R. A.}
}
@article {Ruhnau-et-al-MST07,
	title = {Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	journal = {Measurement Science and Technology},
	volume = {18},
	year = {2007},
	pages = {755-763},
	author = {Paul Ruhnau and Stahl, A. and Christoph Schn{\"o}rr}
}
@article {Ruhnau-et-al-MST07,
	title = {Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	journal = {Measurement Science and Technology},
	volume = {18},
	year = {2007},
	pages = {755-763},
	author = {Ruhnau, P. and Stahl, A. and Schn{\"o}rr, C.}
}
@incollection {Schnoerr-et-al-06a,
	title = {Variational Reconstruction with DC-Programming},
	year = {2007},
	publisher = {Birkh{\"a}user},
	address = {Boston},
	author = {Schn{\"o}rr, C. and Sch{\"u}le, T. and Weber, S.},
	editor = {Herman, G. and Kuba, A.}
}
@conference {menze_07_virtual,
	title = {Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing},
	booktitle = {Broadening Horizons: Multidisciplinary Approaches to Landscape Study},
	year = {2007},
	note = {1},
	pages = {5-29},
	publisher = {Cambridge Scholars Publishing},
	organization = {Cambridge Scholars Publishing},
	author = {Bjoern H. Menze and Muehl, S. and Sherratt, A. G.},
	editor = {Ooghe, B. et al.}
}
@incollection {falkenroth2007a,
	title = {Visualisation of oxygen concentration fields in the mass boundary layer by fluorescence quenching},
	year = {2007},
	publisher = {Springer Verlag},
	abstract = {Laser-Induced Fluorescence (LIF) is applied to observe directly the mechanism of gas exchange in the aqueous viscous boundary layer at a free water surface. In order to make dissolved oxygen visible, a new class of fluorescent dyes is used with a life time in the order of microseconds so that the quenching constant for dissolved oxygen is sufficiently high for sensitive measurements. Depth profiles of the O2 concentration near the water surface are obtained by a vertical laser sheet at a rate of 185 frames per second. This technique is capable of a measurement sector up to several centimetres down from the water surface with a resolution in the order of 50-100 um. For a small circular wind/wave facility a correlation between wind speed and gas-exchange rates calculated from the extrapolated mean boundary-layer thickness are presented as well as the results of parallel measurements with a budget method for other gases with known Schmidt numbers.},
	doi = {10.1007/978-3-540-36906-6_4},
	author = {A. Falkenroth and Kai Degreif and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Handler, R. A.}
}
@phdthesis {falkenroth2007,
	title = {Visualisation of Oxygen Concentration Profiles in the Aqueous Boundary Layer},
	year = {2007},
	publisher = {Fakult{\"a}t f{\"u}r Chemie und Geowissenschaften, Univ.\ Heidelberg},
	abstract = {In environment studies as well as for technical application, the study of air-water gas exchange is crucial. For process studies, a novel visualisation technique of oxygen concentrations in water was realised with high spatial resolution. To resolve turbulent processes in water, also the temporal resolution was pushed to the limit of a imaging frame rate of 185 Hz. For this purpose, the well-established method of laser-induced fluorescence (LIF) was extended introducing in this type of studies a new phosphorescent ruthenium dye that is more than 15 times more sensitive to oxygen than the previously used indicator dye. The chemical synthesis of this metal-ligand complex MLC was adapted to a preparation without intermediate steps. The challenge of this imaging technique for small-scale interactions was to resolve a very thin boundary layer extending less than a millimetre below the water surface. An image processing algorithm was developed that allow the automatic detection of the exact location of the air-water phase boundary within the resolution of 25 um/pixel. Only by this step, an accurate direct determination of an important parameter for gas-exchange studies, the boundary-layer thickness, is feasible. The developed methods were applied to systematic gas-transfer measurements mostly with surfactants, conducted in a range of wind speeds between 0.8-7 m/s in a circular wind-wave facility. The measured gas-transfer velocities compared extremely well to exchange rates derived from mass-balance methods. The novel visualisation technique drastically increased the poor signal quality inherent to standard LIF techniques. This enabled accurate measurements of gas-transfer velocities from aqueous concentration profiles for the first time.},
	url = {http://www.ub.uni-heidelberg.de/archiv/7672},
	author = {A. Falkenroth}
}
@conference {schimpf2006,
	title = {Active thermography: a local and fast method to investigate heat and gas exchange between ocean and atmosphere},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Uwe Schimpf and Christopher Popp and Bernd J{\"a}hne}
}
@conference {roetmann2006,
	title = {Analyse Mikrofluidischer Str{\"o}mungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung},
	booktitle = {Tagungsband Lasermethoden in der Str{\"o}mungsmesstechnik},
	year = {2006},
	author = {Karsten Roetmann and Waldemar Schmunk and Christoph S. Garbe and Volker Beushausen}
}
@article {6414,
	title = {Autocollage},
	year = {2006}
}
@conference {kelm_06_bayesian,
	title = {Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM},
	booktitle = {Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis)},
	year = {2006},
	note = {1},
	pages = {96-103},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	doi = {10.1109/CVPRW.2006.41},
	author = {B. Michael Kelm and M{\"u}ller, N. and Bjoern H. Menze and Fred A. Hamprecht},
	editor = {Schmid, C. and Soatto, S. and Tomasi, C.}
}
@conference {Weber-et-al-06b,
	title = {A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography},
	booktitle = {Discrete Geometry for Computer Imagery (DGCI 2006)},
	volume = {4245},
	year = {2006},
	pages = {146-156},
	publisher = {Springer},
	organization = {Springer},
	author = {Weber, S. and Nagy, A. and Sch{\"u}le, T. and Christoph Schn{\"o}rr and Kuba, A.}
}
@conference {Weber-et-al-06a,
	title = {Binary Tomography with Deblurring},
	booktitle = {Combinatorial Image Analysis},
	volume = {4040},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Weber, S. and Sch{\"u}le, T. and Christoph Schn{\"o}rr and Kuba, A.}
}
@conference {zechmann_06_can,
	title = {Can man still beat the machine? Automated vs. manual pattern recognition of 3D MRSI data of prostate cancer patients},
	booktitle = {Proceedings of the 16th ISMRM},
	year = {2006},
	author = {C. M. Zechmann and B. Michael Kelm and Zamecnik, P. and Ikinger, U. and Waldherr, R. and R{\"o}ll, S. and Delorme, S. and Fred A. Hamprecht and Bachert, P.}
}
@conference {kelm_06_claret,
	title = {CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods.},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2006 - Algorithmen, Systeme, Anwendungen},
	year = {2006},
	note = {1},
	pages = {51-55},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/3-540-32137-3_7},
	url = {http://www.efmi-wg-mip.net/service/bvm2006},
	author = {B. Michael Kelm and Bjoern H. Menze and Neff, T. and C. M. Zechmann and Fred A. Hamprecht},
	editor = {H. Handels and G. Bebis and et al.}
}
@inbook {carlsohn_06_spectral,
	title = {Color image processing},
	volume = {7(17)},
	year = {2006},
	pages = {393-419},
	publisher = {CRC Press},
	organization = {CRC Press},
	chapter = {Spectral Imaging and Applications},
	author = {Carlsohn, M. F. and Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht and Kercek, A. and Leitner, R. and Polder, G.},
	editor = {Lukac, R. and Plataniotis, K.N.}
}
@conference {kelm_06_combining,
	title = {Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning.},
	booktitle = {ICPR 2006},
	volume = {2},
	year = {2006},
	note = {1},
	pages = {828-832},
	doi = {10.1109/ICPR.2006.384},
	author = {B. Michael Kelm and Pal, C. and McCallum, A.}
}
@conference {Kolmogorov2006a,
	title = {Comparison of energy minimization algorithms for highly connected graphs},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {3952 LNCS},
	year = {2006},
	pages = {1{\textendash}15},
	abstract = {Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-reweighted message passing (TRW). So far, the standard benchmark for their comparison has been a 4-connected grid-graph arising in pixel-labelling stereo. This minimization problem, however, has been largely solved: recent work shows that for many scenes TRW finds the global optimum. Furthermore, it is known that a 4-connecled grid-graph is a poor stereo model since it does not take occlusions into account. We propose the problem of stereo with occlusions as a new test bed for minimization algorithms. This is a more challenging graph since it has much larger connectivity, and it also serves as a better stereo model. An attractive feature of this problem is that increased connectivity does not result in increased complexity of message passing algorithms. Indeed, one contribution of this paper is to show that sophisticated implementations of BP and TRW have the same time and memory complexity as that of 4-connecled grid-graph stereo. The main conclusion of our experimental study is that for our problem graph cut outperforms both TRW and BP considerably. TRW achieves consistently a lower energy than BP. However, as connectivity increases the speed of convergence of TRW becomes slower. Unlike 4-connected grids, the difference between the energy of the best optimization method and the lower bound of TRW appears significant. This shows the hardness of the problem and motivates future research. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.},
	isbn = {3540338349},
	issn = {16113349},
	doi = {10.1007/11744047_1},
	author = {Kolmogorov, Vladimir and Carsten Rother}
}
@conference {Kolmogorov2006b,
	title = {Comparison of energy minimization algorithms for highly connected graphs},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {3952 LNCS},
	year = {2006},
	pages = {1{\textendash}15},
	abstract = {Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-reweighted message passing (TRW). So far, the standard benchmark for their comparison has been a 4-connected grid-graph arising in pixel-labelling stereo. This minimization problem, however, has been largely solved: recent work shows that for many scenes TRW finds the global optimum. Furthermore, it is known that a 4-connecled grid-graph is a poor stereo model since it does not take occlusions into account. We propose the problem of stereo with occlusions as a new test bed for minimization algorithms. This is a more challenging graph since it has much larger connectivity, and it also serves as a better stereo model. An attractive feature of this problem is that increased connectivity does not result in increased complexity of message passing algorithms. Indeed, one contribution of this paper is to show that sophisticated implementations of BP and TRW have the same time and memory complexity as that of 4-connecled grid-graph stereo. The main conclusion of our experimental study is that for our problem graph cut outperforms both TRW and BP considerably. TRW achieves consistently a lower energy than BP. However, as connectivity increases the speed of convergence of TRW becomes slower. Unlike 4-connected grids, the difference between the energy of the best optimization method and the lower bound of TRW appears significant. This shows the hardness of the problem and motivates future research. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.},
	isbn = {3540338349},
	issn = {16113349},
	doi = {10.1007/11744047_1},
	author = {Kolmogorov, Vladimir and Carsten Rother}
}
@conference {Heiler-Schnoerr-06a,
	title = {Controlling Sparseness in Non-negative Tensor Factorization},
	booktitle = {Computer Vision -- ECCV 2006},
	volume = {3951},
	year = {2006},
	pages = {56-67},
	publisher = {Springer},
	organization = {Springer},
	author = {Heiler, M. and Christoph Schn{\"o}rr}
}
@conference {Rother2006,
	title = {Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	volume = {1},
	year = {2006},
	pages = {994{\textendash}1000},
	abstract = {We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inference in the model leads to minimizing an energy with an MRF term encoding spatial coherency and a global constraint which attempts to match the appearance histograms of the common parts. This energy has not been proposed previously and its optimization is challenging and NP-hard. For this problem a novel optimization scheme which we call trust region graph cuts is presented. We demonstrate that this framework has the potential to improve a wide range of research: Object driven image retrieval, video tracking and segmentation, and interactive image editing. The power of the framework lies in its generality, the common part can be a rigid/non-rigid object (or scene), observed from different viewpoints or even similar objects of the same class. {\textcopyright} 2006 IEEE.},
	isbn = {0769525970},
	issn = {10636919},
	doi = {10.1109/CVPR.2006.91},
	url = {http://research.microsoft.com/vision/cambridge/},
	author = {Carsten Rother and Kolmogorov, Vladimir and Minka, Tom and Blake, Andrew}
}
@phdthesis {hader_06_data,
	title = {Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung},
	year = {2006},
	publisher = {University of Heidelberg},
	author = {S. Hader}
}
@article {menze_06_detection,
	title = {Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model},
	journal = {Photgrammetric Engineering \& Remote Sensing},
	volume = {3},
	year = {2006},
	note = {1},
	pages = {321-327},
	author = {Bjoern H. Menze and Ur, J. A. and Sherratt, A. G.}
}
@conference {jehle2006c,
	title = {Direct estimation of the wall shear rate using parametric motion models in 3D},
	booktitle = {Proceedings of the 28th DAGM Symposium on Pattern Recognition},
	volume = {4174},
	year = {2006},
	pages = {434--443},
	abstract = {We present a new optical-flow-based technique to estimate the wall shear rate using a special illumination technique that makes the brightness of particles dependent on the distance from the wall. The wall shear rate is derived directly (that means, without previous calculation of the velocity vector field) from two of the components of the velocity gradient tensor which in turn describes the kinematics of fluid flows up to the first order. By incorporating this into a total least squares framework, we can apply a further extension of the structure tensor technique. Results obtained both from synthetical and real data are shown, and reveal a substantial improvement compared to conventional techniques.},
	issn = {0302-9743},
	doi = {10.1007/11861898_44},
	author = {Markus Jehle and Bernd J{\"a}hne and U. Kertzscher}
}
@mastersthesis {lerch_06_discontinuity,
	title = {Discontinuity Preserving Filtering of Spectral Images},
	year = {2006},
	school = {University of Heidelberg},
	author = {Lerch, K.}
}
@conference {StaRuhChr06,
	title = {A Distributed Parameter Approach to Dynamic Image Motion},
	booktitle = {ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision},
	year = {2006},
	publisher = {LNCS, Springer},
	organization = {LNCS, Springer},
	author = {Stahl, A. and Paul Ruhnau and Christoph Schn{\"o}rr}
}
@phdthesis {kraus2006,
	title = {DOASIS a framework design for DOAS},
	year = {2006},
	publisher = {Technische Informatik, Univ. Mannheim},
	type = {phdDissertation},
	author = {Kraus, S.}
}
@phdthesis {kraus2006,
	title = {DOASIS a framework design for DOAS},
	year = {2006},
	publisher = {Technische Informatik, Univ.\ Mannheim},
	author = {S. Kraus}
}
@conference {jehle2006a,
	title = {Eine neuartige Methode zur raumzeitlichen Analyse von Str{\"o}mungen in Grenzschichten},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Markus Jehle and Bernd J{\"a}hne}
}
@article {lichy_06_einsatz,
	title = {Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker f{\"u}r die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren},
	journal = {Zeitung f{\"u}r R{\"o}ntgenforschung},
	volume = {178},
	year = {2006},
	pages = {627-633},
	doi = {10.1055/s-2006-926744},
	author = {M. P. Lichy and Bachert, P. and Fred A. Hamprecht and M.-A. Weber and Debus, J. and Schulz-Ertner, D. and Kauczor, H.-U. and Schlemmer, H.-P.}
}
@conference {roth:DAGM:2006,
	title = {Exploiting Low-level Image Segmentation for Object Recognition},
	booktitle = {Pattern Recognition, Symposium of the DAGM},
	volume = {4174},
	year = {2006},
	pages = {11--20},
	publisher = {Springer},
	organization = {Springer},
	author = {Roth, V. and Bj{\"o}rn Ommer}
}
@conference {degreif2006a,
	title = {Gas exchange measurements: the chemically enhanced gas transfer of carbon dioxide at the water surface},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Kai Degreif and Joachim Kuss and Bernd J{\"a}hne}
}
@conference {degreif2006b,
	title = {Gas exchange measurements: transition of the boundary conditions from a flat to a rough water surface},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Kai Degreif and Bernd J{\"a}hne}
}
@conference {falkenroth2006a,
	title = {Imaging concentration profiles of water boundary layer by Double-Dye LIF and inverse modelling},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {A. Falkenroth and Bernd J{\"a}hne}
}
@conference {rocholz2006,
	title = {Imaging System for combined slope/height measurements of short wind waves : ISHG},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Roland Rocholz and Bernd J{\"a}hne}
}
@incollection {schimpf2006a,
	title = {Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer},
	year = {2006},
	pages = {239--252},
	publisher = {Springer},
	abstract = {The influence of surface films on air-sea gas exchange at low and moderate wind speeds is investigated. Observations were made in the small Heidelberg circular wind-wave facility and in coastal and offshore waters south of Cape Cod, New England. The passive controlled flux technique was used to investigate the micro turbulence very near the water surface, which controls the rate of transfer of momentum, heat, and mass across the air-sea interface. The analysis of infrared image sequences allows the estimation of the net heat flux at the water surface, the skin-bulk temperature difference across the thermal sublayer and thus the heat transfer velocity. Using Schmidt number scaling, estimates of the gas transfer velocity are obtained. Experimental evidence shows that increased surface film concentrations suppress near surface turbulence and thus decrease the gas exchange compared to a slick-free ocean interface. If a surfactant is present, turbulent mixing is dampened and direct renewal of the surface is inhibited. A surface slick changes the hydrodynamic boundary conditions in that the length scales of near surface turbulence controlling air sea gas exchange are modified. The micro-scale temperature fluctuations at the water surface indicate that at low wind speeds the transport process is dominated by large-scale turbulence, whereas at higher wind speeds the smallest observed scales dominate the transport.},
	doi = {10.1007/3-540-33271-5_21},
	author = {Uwe Schimpf and Nelson M. Frew and Bernd J{\"a}hne and Heinrich H{\"u}hnerfuss},
	editor = {Martin Gade and Gerald M. Korenowski}
}
@conference {withopf2006,
	title = {Learning algorithm for real-time vehicle tracking},
	booktitle = {Proc. IEEE Intelligent Transportation Systems Conference ITSC {\textquoteright}06},
	year = {2006},
	pages = {516--521},
	abstract = {This article presents a learning algorithm for real-time object tracking in video sequences which uses an improvement of a feature selection method known from object detection. But in contrast to trackers based on object detection methods, our approach explicitly selects the features which are best suited to track an object, which are different from the best features for object detection. The used features are constructed from pairs of image patches and related to Haar features. Besides the automatic selection of features according to their discriminative (tracking) power, the advantage of this approach is that the resulting tracker is very fast, allowing it to run in addition to a detector to robustify the object position estimation and to compensate for dropouts of the detector. A comparison of the proposed tracking algorithm with other tracking methods is presented which shows the accuracy of the proposed algorithm},
	doi = {10.1109/ITSC.2006.1706793},
	author = {Daniel Withopf and Bernd J{\"a}hne}
}
@conference {ommer:ECCV:2006,
	title = {Learning Compositional Categorization Models},
	booktitle = {Proceedings of the European Conference on Computer Vision},
	volume = {3953},
	year = {2006},
	pages = {316--329},
	publisher = {Springer},
	organization = {Springer},
	author = {Bj{\"o}rn Ommer and J. M. Buhmann}
}
@conference {Bergtholdt-et-al-06b,
	title = {Learning of Graphical Models and Efficient Inference for Object Class Recognition},
	booktitle = {Proc. DAGM 2006},
	series = {LCNS},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Bergtholdt, Martin and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@article {Heiler-Schnoerr-06b,
	title = {Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming},
	journal = {J. Mach. Learning Res.},
	volume = {7},
	year = {2006},
	month = {July},
	pages = {1385{\textendash}1407},
	url = {http://www.cvgpr.uni-mannheim.de/Publications},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@conference {ommer:CVPR:2006,
	title = {Learning Top-Down Grouping of Compositional Hierarchies for Recognition},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision},
	year = {2006},
	pages = {194--194},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Bj{\"o}rn Ommer and Sauter, M. and M., Buhmann J.}
}
@conference {menze_06_machine-based,
	title = {Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin},
	year = {2006},
	note = {1},
	pages = {31-36},
	doi = {10.1007/3-540-32137-3_7},
	author = {Bjoern H. Menze and B. Michael Kelm and Heck, D. and M. P. Lichy and Fred A. Hamprecht},
	editor = {H. Handels and G. Bebis and et al.}
}
@mastersthesis {tamburic2006,
	title = {Measurement of the Modulation Transfer Function through the Use of Regional Circular Targets},
	year = {2006},
	school = {Imperial College London},
	author = {Tamburic, B.}
}
@conference {roetmann2006a,
	title = {Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering},
	booktitle = {Proc.\ of 12th International Symposium on Flow Visualization},
	year = {2006},
	author = {Karsten Roetmann and Christoph S. Garbe and Waldemar Schmunk and Volker Beushausen}
}
@article {Bruhn-et-al-06,
	title = {A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods},
	journal = {Int.~J.~Computer Vision},
	volume = {70},
	number = {3},
	year = {2006},
	pages = {257-277},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Bruhn-et-al-06,
	title = {A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods},
	journal = {Int. J. Computer Vision},
	volume = {70},
	number = {3},
	year = {2006},
	pages = {257-277},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Cremers-et-al-06,
	title = {Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation},
	journal = {ijcv},
	volume = {66},
	number = {1},
	year = {2006},
	pages = {67-81},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr}
}
@conference {jehle2006b,
	title = {A novel method for spatio-temporal analysis of flows within the water-side viscous boundary layer},
	booktitle = {12th Intern. Symp. on Flow Visualization, G{\"o}ttingen, 10--14. September 2006},
	year = {2006},
	doi = {10.5281/zenodo.14845},
	author = {Markus Jehle and Bernd J{\"a}hne}
}
@conference {Ruhnau-et-al-06a,
	title = {On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	booktitle = {Proc.~DAGM 2006},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Paul Ruhnau and Stahl, A. and Christoph Schn{\"o}rr}
}
@conference {Ruhnau-et-al-06a,
	title = {On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	booktitle = {Proc. DAGM 2006},
	series = {LNCS},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Ruhnau, P. and Stahl, A. and Schn{\"o}rr, C.}
}
@conference {garbe2006b,
	title = {An optical flow based technique for the non-invasive measurement of microfluidic flows},
	booktitle = {12th Intern. Symp. on Flow Visualization, G{\"o}ttingen, 10--14. September 2006},
	year = {2006},
	doi = {10.5281/zenodo.14846},
	author = {Christoph S. Garbe and Karsten Roetmann and Bernd J{\"a}hne}
}
@article {menze_06_optimal,
	title = {Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor},
	journal = {NMR in Biomedicine},
	volume = {19},
	number = {5},
	year = {2006},
	note = {1},
	pages = {599-609},
	doi = {10.1002/nbm.1041},
	author = {Bjoern H. Menze and M. P. Lichy and Bachert, P. and B. Michael Kelm and Schlemmer, H. P. and Fred A. Hamprecht}
}
@article {Kolmogorov2006,
	title = {Probabilistic fusion of stereo with color and contrast for bilayer segmentation},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {28},
	number = {9},
	year = {2006},
	pages = {1480{\textendash}1492},
	abstract = {This paper describes models and algorithms for the real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from color/contrast or from stereo alone is known to be error-prone. Here, color, contrast, and stereo matching information are fused to infer layers accurately and efficiently. The first algorithm, Layered Dynamic Programming (LDP), solves stereo in an extended six-state space that represents both foreground/background layers and occluded regions. The stereo-match likelihood is then fused with a contrast-sensitive color model that is learned on-the-fly and stereo disparities are obtained by dynamic programming. The second algorithm, Layered Graph Cut (LGC), does not directly solve stereo. Instead, the stereo match likelihood is marginalized over disparities to evaluate foreground and background hypotheses and then fused with a contrast-sensitive color model like the one used in LDP. Segmentation is solved efficiently by ternary graph cut. Both algorithms are evaluated with respect to ground truth data and found to have similar performance, substantially better than either stereo or color/contrast alone. However, their characteristics with respect to computational efficiency are rather different. The algorithms are demonstrated in the application of background substitution and shown to give good quality composite video output. {\textcopyright} 2006 IEEE.},
	keywords = {3D/stereo scene analysis, Computer vision, Dynamic programming, Image processing and computer vision, Parameter learning},
	issn = {01628828},
	doi = {10.1109/TPAMI.2006.193},
	url = {http://research.microsoft.com/vision/cambridge},
	author = {Kolmogorov, Vladimir and Criminisi, Antonio and Blake, Andrew and Cross, Geoffrey and Carsten Rother}
}
@article {sieg_06_qcar,
	title = {A QCAR-approach to materials modelling},
	journal = {Journal of Molecular Modeling},
	volume = {12},
	year = {2006},
	note = {1},
	pages = {611-619},
	doi = {10.1007/s00894-005-0068-9},
	author = {Sieg, S. and Stutz, B. and Schmidt, T. and Fred A. Hamprecht and Maier, W. F.}
}
@mastersthesis {wieler_06_single,
	title = {Single tone frequency estimation from very few sampling points},
	year = {2006},
	school = {University of Heidelberg},
	author = {Wieler, M.}
}
@phdthesis {jehle2006,
	title = {Spatio-temporal analysis of flows close to water surfaces},
	year = {2006},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In order to examine the air-water gas exchange, a detailed knowledge is needed about the flow field within and beneath the water-side viscous boundary layer. Therefore a novel measurement technique is developed for the spatio-temporal analysis of flows close to free water surfaces. A fluid volume is illuminated by LEDs. Small spherical particles are added to the fluid, functioning as a tracer. A camera pointing to the water surface from above records the image sequences. The distance of the spheres to the surface is coded by means of a supplemented dye, which absorbs the light of the LEDs. By using LEDs flashing with two different wavelengths, it is possible to use particles variable in size. The velocity vectors are obtained by using an extension of the method of optical flow. The vertical velocity component is computed from the temporal change of brightness. Using 3D parametric motion models the shear stress at surfaces can be estimated directly, without previous calculation of the vector fields. Hardware and algorithmics are tested in several ways: A laminar falling film serves as reference flow. The predicted parabolic profile of this stationary flow can be reproduced very well. Buoyant convective turbulence acts as an example for an instationary inherently 3D flow. The direct estimation of the wall shear rate is applied to sequences recorded in the context of biofluidmechanics, revealing a substantial improvement compared to conventional techniques.},
	url = {http://www.ub.uni-heidelberg.de/archiv/7060/},
	author = {Markus Jehle}
}
@mastersthesis {vogel2006,
	title = {Spectroscopic Techniques for Gas-Exchange Measurements},
	year = {2006},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Felix Vogel}
}
@phdthesis {schmaehling_06_statistical,
	title = {Statistical characterization of technical surface microstructure},
	year = {2006},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Schm{\"a}hling, J.}
}
@conference {Shotton2006,
	title = {TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {3951 LNCS},
	year = {2006},
	pages = {1{\textendash}15},
	abstract = {This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned model is used for automatic visual recognition and semantic segmentation of photographs. Our discriminative model exploits novel features, based on textons, which jointly model shape and texture. Unary classification and feature selection is achieved using shared boosting to give an efficient classifier which can be applied to a large number of classes. Accurate image segmentation is achieved by incorporating these classifiers in a conditional random field. Efficient training of the model on very large datasets is achieved by exploiting both random feature selection and piecewise training methods. High classification and segmentation accuracy are demonstrated on three different databases: i) our own 21-object class database of photographs of real objects viewed under general lighting conditions, poses and viewpoints, ii) the 7-class Corel subset and iii) the 7-class Sowerby database used in [1]. The proposed algorithm gives competitive results both for highly textured (e.g. grass, trees), highly structured (e.g. cars, faces, bikes, aeroplanes) and articulated objects (e.g. body, cow). {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.},
	keywords = {aeroplanes) and articulated objects (eg body, bikes, cow), faces, g grass, highly structured (eg cars, trees)},
	isbn = {3540338322},
	issn = {16113349},
	doi = {10.1007/11744023_1},
	url = {http://research.microsoft.com/vision/cambridge/recognition/.},
	author = {Shotton, Jamie and Winn, John and Carsten Rother and Criminisi, Antonio}
}
@phdthesis {rosenbaum2006,
	title = {Thermografische Messung der Temperatur metallischer Oberfl{\"a}chen},
	year = {2006},
	publisher = {Technische Universit{\"a}t Dresden},
	author = {Rosenbaum, Thomas}
}
@conference {rosenbaum2006a,
	title = {Thermographical measurement of temperatures on metallic surfaces},
	booktitle = {Sensor+Test 2006 Proceedings (OPTO 2006, IRS2 2006), N{\"u}rnberg, 30 May - 1 June 2006, AMA Fachverband f{\"u}r Sensorik},
	year = {2006},
	pages = {327--330},
	author = {Rosenbaum, T. and Bernd J{\"a}hne and Gerlach, G.}
}
@article {schmaehling_06_threedimensional,
	title = {A three-dimensional measure of surface roughness based on mathematical morphology},
	journal = {International Journal of Machine Tools and Manufacture},
	volume = {46 (14)},
	year = {2006},
	note = {1},
	pages = {1764-1769},
	doi = {10.1016/j.ijmachtools.2005.12.003},
	author = {Schm{\"a}hling, J. and Fred A. Hamprecht and Hoffmann, D. M. P.}
}
@conference {Kirk2006,
	title = {Understanding photowork},
	booktitle = {Conference on Human Factors in Computing Systems - Proceedings},
	volume = {2},
	year = {2006},
	pages = {761{\textendash}770},
	abstract = {In this paper we introduce the notion of "photowork" as the activities people perform with their digital photos after capture but prior to end use such as sharing. Surprisingly, these processes of reviewing, downloading, organizing, editing, sorting and filing have received little attention in the literature yet they form the context for a large amount of the {\textquoteright}search{\textquoteright} and {\textquoteright}browse{\textquoteright} activities so commonly referred to in studies of digital photo software. Through a deeper understanding of photowork using field observation and interviews, we seek to highlight its significance as an interaction practice. At the same time, we discover how "search" as it is usually defined may have much less relevance than new ways of browsing for the design of new digital photo tools, in particular, browsing in support of the photowork activities we describe. Copyright 2006 ACM.},
	keywords = {Browsing, Content-based image retrieval, Digital photo albums, Photowork, Searching, Use of images},
	isbn = {1595931783},
	doi = {10.1145/1124772.1124885},
	author = {Kirk, David S and Sellen, Abigail J and Carsten Rother and Wood, Kenneth R}
}
@phdthesis {popp2006,
	title = {Untersuchung von Austauschprozessen an der Wasseroberfl{\"a}che aus Infrarot-Bildsequenzen mittels frequenzmodulierter W{\"a}rmeeinstrahlung},
	year = {2006},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {The study presents a new technique for measuring the gas transfer rate at a free water surface with high temporal and spatial resolution, a method suitable for field experiments. The approach is based on the Controlled Flux Technique (CFT) using heat as a proxy tracer for gas exchange. A periodically varying heat flux at water surface is used. The heat flux is generated by a 100 W CO2-laser, while a highly sensitive infrared camera measures the temperature response of the water surface. Heat - and consequently gas transfer rates - can be deduced from the analysis of the spectral amplitude attenuation at water surface. Furthermore, the approach presented allows direct insight into the transport mechanisms of gas exchange processes by an analysis of the phase shift observed at water surface. A first series of measurements at the Heidelberg wind wave facility AEOLOTRON shows that the spectral amplitude attenuation is in keeping with model predictions. The calculated transfer rates for CO2 are also well in accordance with results from other laboratory and field experiments. Contrary to the amplitude attenuation, the calculated phase shifts differ signicantly from model predictions, especially for high wind speeds. This effect, observed for the first time, can be interpreted as being caused by the intermittence of transfer processes. This would indicate that stochastic processes play a larger role in gas transfer than assumed so far.},
	url = {http://www.ub.uni-heidelberg.de/archiv/6489},
	author = {Christopher Popp}
}
@phdthesis {degreif2006,
	title = {Untersuchungen zum Gasaustausch - Entwicklung und Applikation eines zeitlich aufgel{\"o}sten Massenbilanzverfahrens},
	year = {2006},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {The study presents a novel technique for measuring time resolved gas transfer rates at the water surface. By applying this new mass balance technique neither absolute concentrations of the trace gases nor the measurement of their concentrations in the water phase is required. Gas fluxes are calculated exclusively by the temporal change of the air-sided concentrations in an evasion experiment. The high temporal resolution of this procedure allows fast measurements under different conditions. Systematic measurements of gas exchange rates are now feasible within hours. By using UV-spectroscopy, simultaneous concentration measurements of volatile aromatics in the air and water phases verified the results obtained by the presented technique. Within the framework of the UV-measurements a method was developed to determine the air-sided concentrations of the aromatics precisely, even at low spectral resolution of the spectrometer. The differential optical absorption spectroscopy was successfully applied to a wide concentration range of these tracers. Reliable gas transfer velocities are now also available for very low wind speeds and friction velocities. The transition of the Schmidt number exponent from a flat to a rough water surface was reproduced. The transition begins at unexpectedly low wind speeds and extends over a wide range of wind speeds. For the first time the effect of chemically enhanced gas-exchange was demonstrated under a variety of chemical and physical conditions.},
	url = {http://www.ub.uni-heidelberg.de/archiv/6120},
	author = {Kai Degreif}
}
@conference {telea2006,
	title = {A variational approach to joint denoising, edge detection and motion estimation},
	booktitle = {Proceedings of the 28th DAGM Symposium on Pattern Recognition},
	year = {2006},
	pages = {525--535},
	url = {http://numod.ins.uni-bonn.de/research/papers/public/PrDrGa06.pdf},
	author = {Alexandru Telea and Tobias Preu{\ss}er and Christoph S. Garbe and Marc Droske and Martin Rumpf}
}
@conference {falkenroth2006,
	title = {Visualization of air-water gas exchange using novel fluorescent dyes},
	booktitle = {12th Intern. Symp. on Flow Visualization, G{\"o}ttingen, 10--14. September 2006},
	year = {2006},
	doi = {10.5281/zenodo.14844},
	author = {A. Falkenroth and Alexandra G. Herzog and Bernd J{\"a}hne}
}
@conference {roetmann2005,
	title = {2D-Molecular Tagging Velocimetry zur Analyse Mikrofluidischer Str{\"o}mungen},
	booktitle = {Tagungsband Lasermethoden in der Str{\"o}mungsmesstechnik (GALA)},
	year = {2005},
	pages = {26/1--26/10},
	author = {Karsten Roetmann and Christoph S. Garbe and Volker Beushausen}
}
@article {Schuele-et-al-05a,
	title = {Adaptive Reconstruction of Discrete-Valued Objects from few Projections},
	journal = {Electr. Notes in Discr. Math.},
	volume = {20},
	year = {2005},
	pages = {365-384},
	author = {Sch{\"u}le, T. and Weber, S. and Schn{\"o}rr, C.}
}
@conference {jaehne2005,
	title = {Air-Sea Gas Transfer; Schmidt Number dependency and intermittency},
	booktitle = {Presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces},
	year = {2005},
	author = {Bernd J{\"a}hne and Nielsen, R. and Christopher Popp and Uwe Schimpf and Christoph S. Garbe}
}
@techreport {koenig_05_application,
	title = {On the Application of Multiscale Motion Estimation in Intravascular Elastography},
	year = {2005},
	institution = {University of Heidelberg},
	author = {K{\"o}nig, T. and Fred A. Hamprecht and K{\"u}cherer, H.}
}
@conference {kelm_05_automatische,
	title = {Automatische Lokalisation von Tumoren in 1H-NMR-spektroskopischen in vivo Aufnahmen},
	booktitle = {VDI-Berichte},
	volume = {1883},
	year = {2005},
	note = {1},
	pages = {457-466},
	author = {B. Michael Kelm and Bjoern H. Menze and Fred A. Hamprecht}
}
@booklet {jaeger_05_automatisierte,
	title = {Automatisierte Klassifikation von Laserschwei\DFprozessen durch Nutzung von 3D Signalverarbeitungs-Algorithmen},
	year = {2005},
	publisher = {Robert Bosch GmbH, Schwieberdingen and IWR, Uni Heidelberg},
	author = {J{\"a}ger, M. and Knoll, C. and Fred A. Hamprecht}
}
@phdthesis {hissmann_05_bayesian2,
	title = {Bayesian Estimation for White Light Interferometry},
	year = {2005},
	publisher = {University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/5742},
	author = {Hissmann, M.}
}
@article {hissmann_05_bayesian,
	title = {Bayesian surface estimation for white light interferometry},
	journal = {Optical Engineering},
	volume = {44},
	year = {2005},
	note = {1},
	pages = {1-9},
	doi = {10.1117/1.829651},
	author = {Hissmann, M. and Fred A. Hamprecht}
}
@conference {Kolmogorov2005,
	title = {Bi-layer segmentation of binocular stereo video},
	booktitle = {Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005},
	volume = {II},
	year = {2005},
	pages = {407{\textendash}414},
	abstract = {This paper describes two algorithms capable of real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/contrast or from stereo alone is known to be error-prone. Here, colour, contrast and stereo matching information are fused to infer layers accurately and efficiently. The first algorithm, Layered Dynamic Programming (LDP), solves stereo in an extended 6-state space that represents both foreground/background layers and occluded regions. The stereo-match likelihood is then fused with a contrast-sensitive colour model that is learned on the fly, and stereo disparities are obtained by dynamic programming. The second algorithm, Layered Graph Cut (LGC), does not directly solve stereo. Instead the stereo match likelihood is marginalised over foreground and background hypotheses, and fused with a contrast-sensitive colour model like the one used in LDP. Segmentation is solved efficiently by ternary graph cut. Both algorithms are evaluated with respect to ground truth data and found to have similar perfomance, substantially better than stereo or colour/contrast alone. However, their characteristics with respect to computational efficiency are rather different. The algorithms are demonstrated in the application of background substitution and shown to give good quality composite video output.},
	isbn = {0769523722},
	doi = {10.1109/CVPR.2005.91},
	url = {http://research.microsoft.com/vision/cambridge},
	author = {Kolmogorov, V and Criminisi, A and Blake, A and Cross, G and Carsten Rother}
}
@mastersthesis {rocholz2005,
	title = {Bildgebendes System zur simultanen Neigungs- und H{\"o}henmessung an kleinskaligen Wind-Wasserwellen},
	year = {2005},
	school = {University of Heidelberg},
	author = {Roland Rocholz}
}
@incollection {Weber-et-al-05b,
	title = {Binary Tomography by Iterating Linear Programs},
	year = {2005},
	note = {(13 pages)},
	publisher = {Springer},
	author = {Weber, S. and Schn{\"o}rr, C. and Sch{\"u}le, T. and Hornegger, J.},
	editor = {Klette, R. and Kozera, R. and Noakes, L. and Weickert, J.}
}
@article {jaehne2005a,
	title = {Combined optical slope/height measurements of short wind waves: principles and calibration},
	journal = {Meas. Sci. Technol.},
	volume = {16},
	number = {10},
	year = {2005},
	pages = {1937--1944},
	abstract = {A novel short wave imaging technique is described. For the first time, it is capable of measuring the wave height and wave slope simultaneously with unprecedented accuracy. A telecentric optical system is used to image the waves so that the image magnification does not change with the wave height and the slope calibration is much less dependent on the position of the image. A telecentric illumination system contains an area-extended LED light source that is placed in the focal plane of a second lens below the water channel. In this way, the wave slope can be coded by the position-dependent intensity of the light source. LEDs with two different wavelengths in the red and near infrared part of the spectrum are used. Because the water column absorbs the two wavelengths differently, the difference in the observed intensities gives the wave height. The paper details the principle of the technique and the calibration procedures.},
	issn = {0957-0233},
	doi = {10.1088/0957-0233/16/10/008},
	author = {Bernd J{\"a}hne and Schmidt, M. and Roland Rocholz}
}
@article {Neumann-et-al-ML,
	title = {Combined SVM-based Feature Selection and Classification},
	journal = {Machine Learning},
	volume = {61},
	year = {2005},
	pages = {129-150},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@phdthesis {klar2005,
	title = {Design of an endoscopic 3D Particle-Tracking Velocimetry system and its application in flow measurements within a gravel layer},
	year = {2005},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis a novel method for 3-D flow measurements within a permeable gravel layer is developed. Two fiberoptic endoscopes are used in a stereoscopic arrangement to acquire image sequences of the flow field within a single gravel pore. The images are processed by a 3-D Particle-Tracking Velocimetry (3-D PTV) algorithm, which yields the three-dimensional reconstruction of Lagrangian particle trajectories. The underlying image processing algorithms are significantly enhanced and adapted to the special conditions of endoscopic imagery. This includes methods for image preprocessing, robust camera calibration, image segmentation and particle-tracking. After a performance and accuracy analysis, the measurement technique is applied in extensive systematic investigations of the flow within a gravel layer in an experimental flume at the Federal Waterways Engineering and Research Institute in Karlsruhe. In addition to measurements of the pore flow within three gravel pores, an extended experimental setup enables the simultaneous observation of the near-bed 3-D flow field in the turbulent open-channel flow above the gravel layer and of grain motions in a sand layer beneath the gravel layer. The interaction of the free surface flow and the pore flow can be analyzed for the first time with a high temporal and spatial resolution. The experiments are part of a research project initiated by an international cooperation called Filter and Erosion Research Club (FERC). The longterm goal of this project is to quantify the influence of turbulent velocity and pressure fluctuations on the bed stability of waterways. The obtained experimental data provide new insight into the damping behaviour of a gravel bed and can be used for comparison with numerical, analytical and phenomenological models.},
	url = {http://www.ub.uni-heidelberg.de/archiv/5961},
	author = {Michael Klar}
}
@booklet {goerlitz_05_detektion,
	title = {Detektion von Partikeln in Intensit{\"a}tsbildern mit Hilfe eines morphologischen Skalenraumes},
	year = {2005},
	publisher = {Robert-Bosch GmbH, University of Heidelberg},
	author = {G{\"o}rlitz, L. and Fred A. Hamprecht and Staudacher, M.}
}
@mastersthesis {schwarz2005,
	title = {Development of a depth resolving boundary layer visualiziation f{\"u}r gas exchange at free water surfaces},
	year = {2005},
	school = {University of Heidelberg},
	abstract = {In this thesis, a measurement setup is introduced which makes it possible to directly measure two-dimensional, vertical concentration of gases in the water sided boundary layer using Laser-Induced Fluorescence (LIF). While it is impossible to gain knowledge of the physical processes involved in gas exchange using measurements of transfer rates and mass balances, the introduced method makes it possible to directly visualize the physical processes of matter transport in the boundary layer. The measurement method is based on two basic principles: First a fluorescence indicator is used, whose fluorescence intensity is proportional to the local pH-value, thus allowing a spatial resolved measurement of the concentrations of dissolved alkaline or acidic gases can directly be visualized. Second, to create a depth resolution, a second, absorbing dye is added, whose absoprtion maximum lies inside the fluorescence spectrum, so that spectra from different depths show changes in their spectral shape due to the different light path lengths through the absorber. Thus the measured spectrum is the superposition of all depth spectra, which provide the basis of a linear inverse problem. Models for the reconstruction of the depth information will be introduced in the course of this thesis, and the solvability will be analyzed. As the stability of the solution of the inverse problem is almost exclusively determined by the invertibility of the basis function matrix, a confocal microscope was constructed, which allowed the direct measurement of depth spectra. Through this it was made possible to numerically analyze and evaluate the conditioning of the matrix invertibility.},
	author = {Schwarz, T. S.}
}
@book {jaehne2005e,
	title = {Digital Image Processing},
	year = {2005},
	publisher = {Springer},
	organization = {Springer},
	edition = {6},
	doi = {10.1007/3-540-27563-0},
	author = {Bernd J{\"a}hne}
}
@conference {Rother2005,
	title = {Digital tapestry [automatic image synthesis]},
	booktitle = {Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on},
	volume = {1},
	year = {2005},
	pages = {589{\textendash}596},
	abstract = {This paper addresses the novel problem of automatically synthesizing an output image from a large collection of different input images. The synthesized image, called a digital tapestry, can be viewed as a visual summary or a virtual {\textquoteright}thumbnail{\textquoteright} of all the images in the input collection. The problem of creating the tapestry is cast as a multi-class labeling problem such that each region in the tapestry is constructed from input image blocks that are salient and such that neighboring blocks satisfy spatial compatibility. This is formulated using a Markov random field and optimized via the graph cut based expansion move algorithm. The standard expansion move algorithm can only handle energies with metric terms, while our energy contains non-metric (soft and hard) constraints. Therefore we propose two novel contributions. First, we extend the expansion move algorithm for energy functions with non-metric hard constraints. Secondly, we modify it for functions with "almost" metric soft terms, and show that it gives good results in practice. The proposed framework was tested on several consumer photograph collections, and the results are presented.},
	isbn = {0-7695-2372-2},
	doi = {10.1109/CVPR.2005.130},
	url = {http://research.microsoft.com/ http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1467321\%5Cnhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1467321},
	author = {Carsten Rother and Kumar, Sanjiv and Kolmogorov, Vladimir and Blake, Andrew}
}
@book {jaehne2005b,
	title = {Digitale Bildverarbeitung},
	year = {2005},
	publisher = {Springer},
	organization = {Springer},
	edition = {6},
	doi = {10.1007/b138991},
	author = {Bernd J{\"a}hne}
}
@conference {Bruhn-et-al-05a,
	title = {Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time},
	booktitle = {Scale-Space 2005},
	series = {lncs},
	volume = {3459},
	year = {2005},
	pages = {279{\textendash}290},
	publisher = {Springer},
	organization = {Springer},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@conference {Yuan-et-al-05a,
	title = {Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation},
	booktitle = {Scale-Space 2005},
	series = {lncs},
	volume = {3459},
	year = {2005},
	pages = {267{\textendash}278},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, J. and Ruhnau, P. and M{\'e}min, E. and Schn{\"o}rr, C.}
}
@article {Schuele-et-al-04a,
	title = {Discrete Tomography By Convex-Concave Regularization and D.C. Programming},
	journal = {Discr. Appl. Math.},
	volume = {151},
	year = {2005},
	month = {Oct},
	pages = {229-243},
	author = {Sch{\"u}le, T. and Schn{\"o}rr, C. and Weber, S. and Hornegger, J.}
}
@article {Kohlberger-et-al-04b,
	title = {Domain decomposition for variational optical flow computation},
	journal = {IEEE Trans. Image Proc.},
	volume = {14},
	number = {8},
	year = {2005},
	pages = {1125-1137},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.}
}
@article {Neumann-et-al-PR,
	title = {Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers},
	journal = {Pattern Recognition},
	volume = {38},
	number = {11},
	year = {2005},
	pages = {1815-1830},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@conference {hara2005,
	title = {Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements},
	booktitle = {Presented at: International Li{\`e}ge Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces},
	year = {2005},
	author = {T. Hara and J. Wendelbo and Christoph S. Garbe and Uwe Schimpf and Nelson M. Frew}
}
@conference {jaehne2005f,
	title = {The Heidelberg Aeolotron: new perspectives for laboratory investigations of small-scale air-sea interaction},
	booktitle = {Poster presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces},
	year = {2005},
	doi = {10.5281/zenodo.15417},
	author = {Bernd J{\"a}hne and Uwe Schimpf and Christoph S. Garbe and Kai Degreif}
}
@incollection {banerjee2005,
	title = {High resolution optical measurement techniques in paper drying},
	volume = {4},
	year = {2005},
	pages = {16--22},
	author = {D. Banerjee and S. Schabel and Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne and Spiegel, W. von}
}
@inbook {schimpf2005,
	title = {Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer},
	year = {2005},
	pages = {239-252},
	publisher = {Springer},
	organization = {Springer},
	chapter = {3},
	doi = {10.1007/3-540-33271-5_21},
	author = {Uwe Schimpf and Nelson M. Frew and Bernd J{\"a}hne and Heinrich H{\"u}hnerfuss},
	editor = {Martin Gade and Gerald M. Korenowski}
}
@conference {Heiler-Schnoerr-05a,
	title = {Learning Sparse Image Codes by Convex Programming},
	booktitle = {Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV{\textquoteright}05)},
	year = {2005},
	month = {Oct. 15-21},
	pages = {1667-1674},
	address = {Beijing, China},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@article {Weickert-et-al-03a,
	title = {Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods},
	volume = {61},
	number = {3},
	year = {2005},
	pages = {211-231},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Christoph Schn{\"o}rr}
}
@conference {Welk-et-al-05a,
	title = {Matrix-Valued Filters as Convex Programs},
	booktitle = {Scale-Space 2005},
	series = {lncs},
	volume = {3459},
	year = {2005},
	pages = {204{\textendash}216},
	publisher = {Springer},
	organization = {Springer},
	author = {Welk, Martin and Florian Becker and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@article {Heiler-Schnoerr-04a,
	title = {Natural Image Statistics for Natural Image Segmentation},
	journal = {Int. J. Comp. Vision},
	volume = {63},
	number = {1},
	year = {2005},
	pages = {5{\textendash}19},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@conference {ommer:EMMCVPR:2005,
	title = {Object Categorization by Compositional Graphical Models},
	booktitle = {Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition},
	volume = {3757},
	year = {2005},
	pages = {235--250},
	publisher = {Springer},
	organization = {Springer},
	author = {Bj{\"o}rn Ommer and J. M. Buhmann}
}
@article {wenig2005,
	title = {Operator representation as a new differential optical absorption spectroscopy formalism},
	journal = {Appl. Optics},
	volume = {44},
	year = {2005},
	pages = {3246-3253},
	abstract = {UV-visible absorption spectroscopy with extraterrestrial light sources is a widely used technique for the measurement of stratospheric and tropospheric trace gases. We focus on differential optical absorption spectroscopy (DOAS) and present an operator notation as a new formalism to describe the different processes in the atmosphere and the simplifying assumptions that compose the advantage of DOAS. This formalism provides tools to classify and reduce possible error sources of DOAS applications.},
	doi = {10.1364/AO.44.003246},
	author = {Mark Wenig and Bernd J{\"a}hne and Ulrich Platt}
}
@article {kuensch_05_optimal,
	title = {Optimal lattices for sampling},
	journal = {IEEE Transactions on Information Theory},
	volume = {51},
	number = {0055},
	year = {2005},
	pages = {634-647},
	doi = {10.1109/TIT.2004.840864},
	author = {K{\"u}nsch, H. R. and Agrell, E. and Fred A. Hamprecht}
}
@mastersthesis {humbert_05_partikel,
	title = {Partikel-Verfolgung beim Laserschwei\DFen mit dem Kalman-Filter},
	year = {2005},
	school = {University of Heidelberg},
	author = {Humbert, S.}
}
@article {Weber-et-al-05a,
	title = {Prior Learning and Convex-Concave Regularization of Binary Tomography},
	journal = {Electr. Notes in Discr. Math.},
	volume = {20},
	year = {2005},
	pages = {313-327},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C.}
}
@conference {Schellewald-Schnoerr-05a,
	title = {Probabilistic Subgraph Matching Based on Convex Relaxation},
	booktitle = {Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR{\textquoteright}05)},
	series = {lncs},
	volume = {3757},
	year = {2005},
	pages = {171-186},
	publisher = {Springer},
	organization = {Springer},
	author = {Schellewald, C. and Schn{\"o}rr, C.}
}
@conference {zhang_05_voc,
	title = {Report about VOCs Dataset{\textquoteright}s Analysis based on Random Forests},
	booktitle = {Proceedings of the HPC-Asia05},
	year = {2005},
	pages = {603-607},
	publisher = {IEEE Computer Society Press},
	organization = {IEEE Computer Society Press},
	author = {Zhang, H. and Fred A. Hamprecht and Amann, A.}
}
@conference {Heiler-Schnoerr-05b,
	title = {Reverse-Convex Programming for Sparse Image Codes},
	booktitle = {Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR{\textquoteright}05)},
	series = {LNCS},
	volume = {3757},
	year = {2005},
	pages = {600-616},
	publisher = {Springer},
	organization = {Springer},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@incollection {Heiler-et-al-05,
	title = {Semidefinite Clustering for Image Segmentation with A-priori Knowledge},
	volume = {3663},
	year = {2005},
	pages = {309{\textendash}317},
	publisher = {Springer},
	author = {Heiler, M. and Keuchel, J. and Schn{\"o}rr, C.}
}
@incollection {Bergtholdt-Schnoerr-05,
	title = {Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes},
	volume = {3663},
	year = {2005},
	pages = {342{\textendash}350},
	publisher = {Springer},
	author = {Bergtholdt, Martin and Christoph Schn{\"o}rr}
}
@conference {Yuan-et-al-05b,
	title = {A Study of Non-Smooth Convex Flow Decomposition},
	booktitle = {Proc. Variational, Geometric and Level Set Methods in Computer Vision},
	series = {lncs},
	volume = {3752},
	year = {2005},
	pages = {1{\textendash}12},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, Jing and Christoph Schn{\"o}rr and Steidl, Gabriele and Florian Becker}
}
@conference {menze_05_tell,
	title = {Tell Spotting - Surveying Near Eastern Settlement Mounds from Space},
	booktitle = {Proceedings of the XXth CIPA International Symposium 2005, Torino, Italy},
	year = {2005},
	note = {1},
	pages = {217-223},
	author = {Bjoern H. Menze and Ur, J. A. and Sherratt, A. G.}
}
@article {Ruhnau-et-al-05b,
	title = {A variational approach for particle tracking velocimetry},
	journal = {Meas. Science and Techn.},
	volume = {16},
	year = {2005},
	pages = {1449-1458},
	author = {Ruhnau, P. and G{\"u}tter, C. and Putze, T. and Schn{\"o}rr, C.}
}
@proceedings {Paragios-et-al-05,
	title = {Variational, Geometric and Level Sets in Computer Vision (VLSM{\textquoteright}05)},
	volume = {3752},
	year = {2005},
	month = {Oct. 16},
	publisher = {Springer},
	address = {Beijing, China},
	editor = {Paragios, N. and Faugeras, O. and Chan, T. and Schn{\"o}rr, C.}
}
@article {Bruhn-et-al-4b,
	title = {Variational optic flow computation in real-time},
	journal = {IEEE Trans. Image Proc.},
	volume = {14},
	number = {5},
	year = {2005},
	pages = {608{\textendash}615},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Feddern, Christian and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Ruhnau-et-al-05,
	title = {Variational Optical Flow Estimation for Particle Image Velocimetry},
	journal = {Experiments in Fluids},
	volume = {38},
	year = {2005},
	pages = {21--32},
	author = {Paul Ruhnau and Kohlberger, T. and Nobach, H. and Christoph Schn{\"o}rr}
}
@article {Ruhnau-et-al-05,
	title = {Variational Optical Flow Estimation for Particle Image Velocimetry},
	journal = {Experiments in Fluids},
	volume = {38},
	year = {2005},
	pages = {21{\textendash}32},
	author = {Ruhnau, P. and Kohlberger, T. and Nobach, H. and Schn{\"o}rr, C.}
}
@incollection {Bergtholdt-et-al-05,
	title = {Variational Segmentation with Shape Priors},
	year = {2005},
	pages = {147-160},
	publisher = {Springer},
	chapter = {9},
	author = {Bergtholdt, Martin and Daniel Cremers and Christoph Schn{\"o}rr},
	editor = {Paragios, N. and Chen, Y. and Faugeras, O.}
}
@booklet {strobel_05_verfahren,
	title = {Verfahren und Pr{\"u}fk{\"o}rper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild},
	year = {2005},
	author = {Strobel, J. and G{\"o}rlitz, L. and Staudacher, M.}
}
@article {frew2004,
	title = {Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films},
	journal = {J. Geophys. Res.},
	volume = {109},
	year = {2004},
	pages = {C08S17},
	doi = {10.1029/2003JC002131},
	author = {Nelson M. Frew and E. J. Bock and Uwe Schimpf and T. Hara and Horst Hau{\ss}ecker and J. B. Edson and W. R. McGilles and R. K. Nelson and S. P. McKenna and B. M. Uz and Bernd J{\"a}hne}
}
@phdthesis {raisch2004,
	title = {Aktive Konturen zur Objektsegmentierung in stark verrauschten Bildsequenzen und zur Segmentierung von Bonddr{\"a}hten in der industriellen Bildverarbeitung},
	year = {2004},
	publisher = {Univ.\ Mannheim},
	url = {http://d-nb.info/972877436},
	author = {Florian Raisch}
}
@conference {klar2004a,
	title = {Analysis of subsurface gravel layer flow caused by turbulent open-channel flow using 3D PTV and pressure sensor techniques},
	booktitle = {BAW-Workshop Soil and Bed Stability - Interaction Effects between Geotechnics and Hydraulic Engineering},
	year = {2004},
	author = {Michael Klar and Markus Jehle and Bernd J{\"a}hne and Detert, M. and Jirka G. H.}
}
@conference {Giebel-et-al-04,
	title = {A Bayesian Framework for Multi-cue 3D Object Tracking},
	booktitle = {Computer Vision {\textendash} ECCV 2004},
	series = {lncs},
	volume = {3024},
	year = {2004},
	pages = {241-252},
	publisher = {Springer},
	organization = {Springer},
	author = {Giebel, J. and Gavrila, D. M. and Schn{\"o}rr, C.},
	editor = {Pajdla, T. and Matas, J.}
}
@conference {jehle2004,
	title = {Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen},
	booktitle = {Mitteilungen des Instituts f{\"u}r Grundbau und Bodenmechanik},
	volume = {77},
	year = {2004},
	pages = {371-392},
	author = {Markus Jehle and Michael Klar and H.-J. K{\"o}hler and Heibaum, M.}
}
@conference {wshs-04,
	title = {Binary Tomography by Iterating Linear Programs from Noisy Projections},
	booktitle = {Combinatorial Image Analysis, Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}04)},
	series = {LNCS},
	volume = {3322},
	year = {2004},
	pages = {38{\textendash}51},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Weber, S. and Sch{\"u}le, T. and Hornegger, J. and Schn{\"o}rr, C.},
	editor = {Klette, R. and {\v Z}uni{\'c}, J.}
}
@incollection {hamprecht_04_classification,
	title = {Classification},
	year = {2004},
	pages = {509-519},
	publisher = {CRC Press},
	edition = {2nd},
	author = {Fred A. Hamprecht},
	editor = {Bernd J{\"a}hne}
}
@conference {menze_04_classification,
	title = {Classification of in vivo magnetic resonance spectra},
	booktitle = {Classification in ubiquitous challenge: Proceedings of the GfKl 2004},
	year = {2004},
	pages = {362-369},
	publisher = {Springer},
	organization = {Springer},
	author = {Bjoern H. Menze and Wormit, M. and Bachert, P. and M. P. Lichy and Schlemmer, H.-P. and Fred A. Hamprecht}
}
@conference {Yuan-et-al-04b,
	title = {Convex Set-Based Estimation of Image Flows},
	booktitle = {ICPR 2004 {\textendash} 17th Int. Conf. on Pattern Recognition},
	volume = {1},
	year = {2004},
	month = {Aug. 23-26},
	pages = {124-127},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cambridge, UK},
	author = {Yuan, J. and Schn{\"o}rr, C. and Kohlberger, T. and Ruhnau, P.}
}
@phdthesis {hilsenstein2004,
	title = {Design and Implementation of a Passive Stereo-Infrared Imaging System for the Surface Reconstruction of Water Waves},
	year = {2004},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {To quantify air-sea exchange processes, an understanding of how they are influenced by water waves is necessary. This work presents a passive, infrared stereo-imaging system for the reconstruction of a wavy water surface. The system does not require a sub-merged light source, so it is suitable for field operation. The structure of the thesis is as follows. Previous work on water wave imaging is reviewed and the major problems with stereo-based reconstruction of water surfaces are identified: transparency, lack of texture and specular reflections. It is shown that many of these problems can be avoided by imaging at infrared wavelengths. Following a review of infrared radiometry, the key ingredients of surface reconstruction using the stereo principle are explained, including camera calibration, epipolar geometry and disparity estimation. A description of the stereo infrared camera system used in this work is given. An experimental validation of the system was performed at the Heidelberg wind-wave channel. Several stereo infrared image sequences of water waves recorded at this facility are used to demonstrate that a dense surface reconstruction of water waves is possible using this system. The accuracy of the reconstruction is experimentally assessed using a flat water surface as a reference plane.},
	url = {http://www.ub.uni-heidelberg.de/archiv/4601},
	author = {Volker Hilsenstein}
}
@phdthesis {senet2004,
	title = {Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences},
	year = {2004},
	publisher = {Universit{\"a}t Hamburg, FB Informatik},
	author = {Senet, Christian M.}
}
@article {Criminisi2004,
	title = {Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing},
	year = {2004},
	abstract = {A new algorithm is proposed for novel-view synthesis, with particular application to teleconferencing. Given the video streams acquired by two cameras placed on either side of a computer monitor, the proposed algorithm synthesises images from a virtual camera in arbitrary position (typically located within the monitor area) to facilitate eye contact. The new technique is based on an improved, dynamic-programming, stereo algorithm for efficient novel-view generation. The two main contributions of this paper are: i) a new four-layer matching graph for dense-stereo dynamic-programming, that supports accurate occlusion labeling; ii) a compact geometric derivation for novel-view synthesis by direct projection of the minimum-cost surface. Furthermore, the paper presents an algorithm for the temporal maintenance of a background model to enhance the rendering of occlusions and reduce temporal artefacts (flicker); and a cost aggregation algorithm that acts directly in three-dimensional matching cost space. The proposed algorithm has been designed to work with input images with large disparity range, a common situation in one-to-one video-conferencing. The enhanced oc-clusion-handling capabilities of the new DP algorithm are evaluated against those of the most powerful state-of-the-art dynamic-programming and graph-cut techniques. A number of examples demonstrate the robustness of the algorithm to artefacts in stereo video streams. This includes demonstrations of cyclopean view synthesis in extended conversational sequences, synthesis from a freely translating virtual camera and, finally, basic 3D scene editing.},
	url = {http://www.research.microsoft.comi http://jamie.shotton.org/work/publications/TechRep2003-59.pdf},
	author = {Criminisi, A and Shotton, J and Blake, A and Torr, P}
}
@phdthesis {herrmann2004,
	title = {Ein System zur schnellen Entwicklung von Bildverarbeitungsalgorithmen},
	year = {2004},
	publisher = {Univ.\ Mannheim},
	author = {Helmut Herrmann}
}
@conference {garbe2004,
	title = {Estimation of motion and parameters of heat transport from thermography},
	booktitle = {Quantitative Infrared Thermography},
	year = {2004},
	author = {Christoph S. Garbe and Bernd J{\"a}hne}
}
@conference {jaehne2004e,
	title = {Exchange processes at the ocean surface: their role in coupling atmosphere and ocean, a contribution to the SOLAS project},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Munich, 22.-26.03.2004},
	year = {2004},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	abstract = {Der Stoffaustausch zwischen Atmosph{\"a}re und Ozean ist trotz seiner Bedeutung f{\"u}r die globalen Stoffkreisl{\"a}ufe immer noch wenig verstanden und experimentell schwer zug{\"a}nglich. In den letzten Jahre wurde eine neue Technik entwickelt, die es mittels aktiver Thermographie erlaubt, die Antwortfunktion des Transports durch die wasserseitige viskose Grenzschicht sowohl im Labor als auch im Feld zu messen. Damit ist es nicht nur m{\"o}glich, innerhalb weniger Minuten die Transfergeschwindigkeit f{\"u}r Gase zu messen, sondern auch verschiedene Modelle zu unterscheiden und die Schmidtzahlabh{\"a}ngigkeit zu bestimmen. Dies bedeutet f{\"u}r zuk{\"u}nftige Messungen im Feld, dass Messungen der Konzentrationen von beliebigen Tracern im Wasser und der Atmosph{\"a}re ausreichend sind, um Flussraten relevanter Tracer zwischen Atmosph{\"a}re und Ozean zu bestimmen. Es sind keine aufwendigen und unsicheren direkten Flussraten (z.B. durch Eddykorrelations- oder -akkumulationsmessungen) mehr notwendig. Die neue Technik soll ein wesentliches Bindeglied zwischen den atmosph{\"a}rischen und ozeanographischen Untersuchungen des internationalen SOLAS-Projekt werden.},
	url = {http://old.dpg-tagungen.de/archive/2004/up_1.html},
	author = {Bernd J{\"a}hne and Uwe Schimpf and Christopher Popp and Christoph S. Garbe}
}
@conference {degreif2004,
	title = {Gas exchange experiments using time resolved UV-spectroscopy},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Munich, 22.-26.03.2004},
	year = {2004},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	abstract = {The air sea gas exchange plays a key role in the development of the earth{\textquoteright}s climate. The oceans can act as a source or sink for climate relevant gases such as carbon dioxide, methane or dimethyl sulphide. Hydrodynamics in the viscous boundary layer at the free ocean surface and therefore the gas transfer across the interface are not well understood yet. UV-spectroscopy provides a direct and fast measuring method for gaseous or volatile tracers in the air and water phase. A wide range of hydrodynamic parameters, i.e. Schmidt numbers and solubilities is feasible with volatile hydrocarbons such as benzene or fluorobenzene. Multiple tracers may be observed simultaneously with the same non-invasive measuring technique. Laboratory experiments are performed at a 120 cm diameter circular wind-wave-facility in Heidelberg. A detailed study of gas transfer rate{\textquoteright}s dependence on the mean squared surface wave slope s^2, friction velocity u*, as well as on the Schmidt number Sc and solubility of the tracers will be performed. Also the influence of surface films or an increased viscosity is going to be examined. Preliminary results and further prospects are presented.},
	url = {http://www.dpg-verhandlungen.de/2004/up_15.html},
	author = {Kai Degreif and Bernd J{\"a}hne}
}
@phdthesis {nielsen2004,
	title = {Gasaustausch - Entwicklung und Ergebnis eines schnellen Massenbilanzverfahrens zur Messung der Austauschparameter},
	year = {2004},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis a novel, fast and highly accurate technique was developed for measuring the transfer velocity of gases across the air-water interface. The method is based on a simultaneous measurement of concentrations of gas tracers, both on the air and water side. It is possible to induce very high mass fluxes across the interface by increasing the water sided concentration. This leads to a significant increase in the air sided concentration of the tracer, which can be measured within a couple of minutes. By conducting measurements in this scheme, transfer velocities are recovered 10 to 100 times faster than would be possible by measuring the water sided concentration alone. Due to this significant reduction in measurement time, the novel technique makes it possible to conduct several experiments directly one after the other. For the first time was it possible to carry out a series of measurements in one day. The relative accuracy of measuring transfer velocities was better than 1\%, which made it possible to determine the Schmidt number exponent precisely. The transition of the Schmidt number exponent from a flat to a rough water surface could be assessed for the first time. This allowed for a parametrization with the facet model. With respect to wind speed dependence a surprising result was achieved: The Schmidt number exponent transitions much slower than previously expected.},
	url = {http://www.ub.uni-heidelberg.de/archiv/5032},
	author = {Nielsen, R.}
}
@conference {Rother2004,
	title = {"GrabCut" - Interactive foreground extraction using iterated graph cuts},
	booktitle = {ACM Transactions on Graphics},
	volume = {23},
	number = {3},
	year = {2004},
	pages = {309{\textendash}314},
	abstract = {The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g. Magic Wand, or edge (contrast) information, e.g. Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which successfully combines both types of information. In this paper we extend the graph-cut approach in three respects. First, we have developed a more powerful, iterative version of the optimisation. Secondly, the power of the iterative algorithm is used to simplify substantially the user interaction needed for a given quality of result. Thirdly, a robust algorithm for "border matting" has been developed to estimate simultaneously the alpha-matte around an object boundary and the colours of foreground pixels. We show that for moderately difficult examples the proposed method outperforms competitive tools.},
	keywords = {Alpha Matting, Foreground extraction, Graph Cuts, Image Editing, Interactive Image Segmentation},
	issn = {07300301},
	doi = {10.1145/1015706.1015720},
	author = {Carsten Rother and Kolmogorov, Vladimir and Blake, Andrew}
}
@techreport {gbalsch2004,
	title = {HD-WHOI Measurements October 2004 CISG},
	year = {2004},
	institution = {Institute for Environmental Physics, University of Heidelberg},
	author = {G{\"u}nther Balschbach}
}
@conference {Keuchel-et-al-04a,
	title = {Hierarchical Image Segmentation based on Semidefinite Programming},
	booktitle = {Pattern Recognition, Proc. 26th DAGM Symposium},
	series = {lncs},
	volume = {3175},
	year = {2004},
	pages = {120-128},
	publisher = {Springer},
	organization = {Springer},
	author = {Keuchel, J. and Heiler, M. and Schn{\"o}rr, C.}
}
@article {Bruhn-et-al-04a,
	title = {High performance cluster computing with 3-D nonlinear diffusion filters},
	journal = {Real-Time Imaging},
	volume = {10},
	number = {1},
	year = {2004},
	pages = {41{\textendash}51},
	author = {Bruhn, Andr{\'e}s and Jakob, Tobias and Fischer, Markus and Weickert, Joachim and Br{\"u}ning, Ulrich and Christoph Schn{\"o}rr}
}
@article {schimpf2004,
	title = {Investigation of transport processes across the sea surface microlayer by infrared imagery},
	journal = {J. Geophys. Res.},
	volume = {109},
	number = {C8},
	year = {2004},
	pages = {C08S13},
	abstract = {Heat is used as a proxy tracer for gases to study the transport processes across the sea surface microlayer. Infrared imaging techniques permit fast measurements of heat transfer velocities and give an insight into the transport mechanisms across the thermal sublayer. The observed fluctuations of the sea surface temperature suggest that surface renewal is the major turbulent transport mechanism at medium and high wind speeds. The scale space analysis of the temperature patterns at the sea surface with respect to their contribution to the skin-bulk temperature difference shows the turbulent nature of the transport process. Large-scale turbulence dominates the transport at low friction velocities, whereas small-scale turbulence is more dominant at higher wind friction. The skin-bulk temperature difference is estimated by fitting the measured sea surface temperature distribution with a PDF function based on a surface renewal model. Periodic heat flux switching in the wind-wave flume delivers independent estimates of surface and bulk temperature and verifies the statistical approach, whereas at very low wind speeds and film-covered surfaces the statistical method underestimates the skin-bulk temperature difference across the thermal sublayer. The large scatter of the transfer velocities when plotted versus wind speed indicates that not only the wind shear but also other processes such as the wave field and surfactants influences near-surface turbulence and thus air-water gas transfer.},
	issn = {0148-0227},
	doi = {10.1029/2003JC001803},
	author = {Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne}
}
@mastersthesis {menze_04_klassifikation,
	title = {Klassifikation von Magnetresonanzspektren},
	year = {2004},
	school = {University of Heidelberg},
	author = {Bjoern H. Menze}
}
@phdthesis {fuss2004,
	title = {Kombinierte H{\"o}hen- und Neigungsmessung von winderzeugten Wasserwellen am Heidelberger Aeolotron},
	year = {2004},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis a new technique is presented, which is able to simultanously measure large and small scale water waves with high spatial resolution. This is achieved by a combined height and slope measurement in conjunction with digital image processing techniques. For the slope measurements a well established technique was improved. Utilizing light refraction at the water surface the slope of small scale waves is determined. This allows to sense the small scale structure of the water surface determined by capillary waves. To avoid systematic errors a detailed calibration procedure was developed. For absolute height measurements on coarser scales, a stereo technique based on the slope images was developed. The technical requirements and their implementation are described in detail and the applicability to water waves is shown. A combination of both techniques yields a scale overlapping method to measure water waves. Thus, simultanous measurements of gravity and capillary waves with high spatial resolution are enabled.},
	url = {http://www.ub.uni-heidelberg.de/archiv/4820},
	author = {D. Fu{\ss}}
}
@article {Weber-et-al-04a,
	title = {A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections},
	journal = {Methods of Information in Medicine},
	volume = {43},
	number = {4},
	year = {2004},
	pages = {320{\textendash}326},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C. and Hornegger, J.}
}
@mastersthesis {schlosser2004,
	title = {Messung von Diffusionskonstanten},
	year = {2004},
	school = {Univ.\ Heidelberg},
	author = {Schlosser, C.}
}
@article {zappa2004,
	title = {Microbreaking and the enhancement of air-water transfer velocity},
	journal = {J. Geophys. Res.},
	volume = {109},
	year = {2004},
	pages = {C08S16},
	abstract = {The role of microscale wave breaking in controlling the air-water transfer of heat and gas is investigated in a laboratory wind-wave tank. The local heat transfer velocity, k_H , is measured using an active infrared technique and the tank-averaged gas transfer velocity, k_G , is measured using conservative mass balances. Simultaneous, colocated infrared and wave slope imagery show that wave-related areas of thermal boundary layer disruption and renewal are the turbulent wakes of microscale breaking waves, or microbreakers. The fractional area coverage of microbreakers, A _B , is found to be 0.1-0.4 in the wind speed range 4.2-9.3 m s-1 for cleaned and surfactant-influenced surfaces, and k_H and k_G are correlated with A _B . The correlation of k_H with A_B is independent of fetch and the presence of surfactants, while that for k_G with A_B depends on surfactants. Additionally, A_B is correlated with the mean square wave slope, <S 2>, which has shown promise as a correlate for k_G in previous studies. The ratio of k_H measured inside and outside the microbreaker wakes is 3.4, demonstrating that at these wind speeds, up to 75\% of the transfer is the direct result of microbreaking. These results provide quantitative evidence that microbreaking is the dominant mechanism contributing to air-water heat and gas transfer at low to moderate wind speeds.},
	doi = {10.1029/2003JC001897},
	author = {Christopher J. Zappa and William E. Asher and Jessup, A. T. and J. Klinke and S. R. Long}
}
@phdthesis {gebhard2004,
	title = {Multidimensionale Segmentierung in Bildfolgen und Quantifizierung dynamischer Prozesse},
	year = {2004},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this interdisciplinary work I developed digital image processing methods for quantitative analysis of dynamics. The applications focused on biology and medicine. Confocal microscopes can resolve biological structures by the use of fluorescent markers. Due to a low signal to noise ratio the processing of noise reduction techniques was an important task. I developed a segmentation method in 2D and 3D based on deformable models. In 2D, I was able to show that the attraction range of the active B-spline contour could be increased in combination with a special external field. This improvement to the classical parametric active contour is especially important when the initialization of the curve is far beyond the object. In 3D, I introduced a method for simultaneously segmenting multiple objects in one image and adapted this approach to the special case of cell division. A cluster algorithm was applied to assign the extracted edge points to the different objects. With these methods, I was able to quantify the volume and area expansion of the membrane over time. To track multiple segmented objects over time, I have developed a particle-tracking algorithm, based on a Fuzzy decision kernel. Several applications show the benefit of the developed methods.},
	url = {http://www.ub.uni-heidelberg.de/archiv/4392/},
	author = {Matthias Gebhard}
}
@conference {Cremers-et-al-04,
	title = {Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation},
	booktitle = {Computer Vision {\textendash} ECCV 2004},
	series = {lncs},
	volume = {3024},
	year = {2004},
	pages = {74-86},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Pajdla, T. and Matas, J.}
}
@article {restle_04_nonparametric,
	title = {Nonparametric Smoothing of Height maps using {\textquoteleft}{\textquoteleft}Confidence{\textquoteright}{\textquoteright} values},
	journal = {Optical Engineering},
	volume = {43},
	number = {0049},
	year = {2004},
	pages = {866-871},
	doi = {10.1117/1.1666622},
	author = {J. Restle and Hissmann, M. and Fred A. Hamprecht}
}
@conference {Kohlberger-et-al-04a,
	title = {Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing},
	booktitle = {Computer Vision {\textendash} ECCV 2004},
	series = {lncs},
	volume = {3024},
	year = {2004},
	pages = {205-216},
	publisher = {Springer},
	organization = {Springer},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.},
	editor = {Pajdla, T. and Matas, J.}
}
@book {jaehne2004,
	title = {Practical Handbook on Image Processing for Scientific and Technical Applications},
	year = {2004},
	publisher = {CRC Press},
	organization = {CRC Press},
	edition = {2},
	abstract = {Image processing is fast becoming a valuable tool for analyzing multidimensional data in all areas of natural science. Since the publication of the best-selling first edition of this handbook, the field of image processing has matured in many of its aspects from ad hoc, empirical approaches to a sound science based on established mathematical and physical principles. The Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition builds a sound basic knowledge of image processing, provides a critically evaluated collection of the best algorithms, and demonstrates those algorithms with real-world applications from many fields. It covers all aspects of image processing, from image formation to image analysis, and gives an up-to-date review of advanced concepts. Organized according to the hierarchy of tasks, each chapter includes a summary, an outline of the background the task requires, and a section of practical tips that help you avoid common errors and save valuable research time.},
	doi = {10.1201/9780849390302},
	author = {Bernd J{\"a}hne}
}
@conference {detert2004,
	title = {Pressure fluctuations within subsurface gravel bed caused by turbulent open-channel flow},
	booktitle = {Proc. of River Flow 2004},
	year = {2004},
	pages = {695-701},
	publisher = {A. A. Balkema Publishers},
	organization = {A. A. Balkema Publishers},
	author = {Detert, M. and G. H. Jirka and Markus Jehle and Michael Klar and Bernd J{\"a}hne and H.-J. K{\"o}hler and Wenka, T.}
}
@mastersthesis {heck_04_proximity,
	title = {Proximity Graphs for Nonlinear Dimension Reduction},
	year = {2004},
	school = {University of Heidelberg},
	author = {Heck, D.}
}
@conference {strzodka2004,
	title = {Real-time motion estimation and visualization on graphics cards},
	booktitle = {Proceedings IEEE Visualization 2004},
	year = {2004},
	pages = {545--552},
	abstract = {We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatio-temporal structure tensor at every pixel location. This approach is computationally demanding but allows reliable velocity estimates as well as quality indicators for the obtained results. We use a 2D color map and a region of interest selector for the visualization of the velocities. On the selected velocities we apply a hierarchical smoothing scheme which allows the choice of the desired scale of the motion field. We demonstrate several examples of test sequences in which some persons are moving with different velocities than others. These persons are visually marked in the real-time display of the image sequence. The tool is also applied to angiography sequences to emphasize the blood flow and its distribution. An efficient processing of the data streams is achieved by mapping the operations onto the stream architecture of standard graphics cards. The card receives the images and performs both the motion estimation and visualization, taking advantage of the parallelism in the graphics processor and the superior memory bandwidth. The integration of data processing and visualization also saves on unnecessary data transfers and thus allows the real-time analysis of 320{\texttimes}240 images. We expect that on the newest generation of graphics hardware our tool could run in real time for the standard VGA format.},
	doi = {10.1109/VISUAL.2004.88},
	author = {Strzodka, R. and Christoph S. Garbe}
}
@article {wenig2004,
	title = {Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment},
	journal = {J. Geophys. Res.},
	volume = {109},
	number = {D4},
	year = {2004},
	pages = {D04315, 1--11},
	abstract = {We describe the retrieval of stratospheric NO2 vertical column densities from the Global Ozone Monitoring Experiment (GOME) aboard the ERS-2 satellite. Different differential optical absorption spectroscopy (DOAS) evaluations are compared in order to investigate uncertainties caused by the diffuser plate. An improved version of our algorithm to separate the tropospheric and stratospheric fraction of NO2 from GOME satellite data is described and is used to extract a long term data set of stratospheric NO2 (1996-2000). In addition, the average seasonal variation in the global distribution is determined, which allows us to monitor and investigate specific aspects of stratospheric chemistry, in particular the interhemispheric comparison of stratospheric NO2. In contrast to other satellite observations (e.g., SAGE II, OSIRIS), GOME observations of stratospheric NO2 include the lower stratosphere. In general, our observations are in agreement with previous measurements and confirm the current knowledge of stratospheric nitrogen chemistry.},
	issn = {0148-0227},
	doi = {10.1029/2003JD003652},
	author = {Mark Wenig and Kuhl, S. and S. Beirle and Bucsela, E. and Bernd J{\"a}hne and Ulrich Platt and Gleason, J. and T. Wagner}
}
@phdthesis {kuesters2004,
	title = {Simultane Tiefen- und Flussbestimmung pflanzlicher Oberfl{\"a}chen},
	year = {2004},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {The subject of this thesis is the stereo based 3d survey of deformable objects. This includes the calculation of spatial structure and deformations of plant surfaces. The position in space and the movement field are simultaneously estimated as depth and optical flow in multi camera image sequences. This is realized by a near baseline stereo approach. Temporal multi camera sequences are taken as a 4d data set. A linear model is used to calculate depth. The brightness change constraint equation (BCCE) is extended by disparity terms. Parameters are estimated with a local differential total least squares method, the structure tensor approach, simultaneously yielding depth and flow information. An additional extension of the BCCE allows the simultaneous estimation of flow divergence and thus depth motion. The accuracy of this techniques is quantified on synthetic and real sequences. The results show the typical behavior for the structure tensor approach, high noise stability and accuracy. As a botanical application, a method for measuring of local relative area changes of moving curved surfaces is developed. The temporal course of those growth rate measurements shows a clear diurnal rhythm. Limiting the evaluations to those of static multi camera sequences allows the 3d survey of tree canopies as a smoothed envelope. To accommodate this for extended populations, a method is developed which creates a fusion of partial 3d reconstructions. This is applied in the high resolution reconstruction of the rainforest canopy in the Biosphere 2 Center, Arizona.},
	url = {http://www.ub.uni-heidelberg.de/archiv/4818},
	author = {K{\"u}sters, R.}
}
@conference {klar2004c,
	title = {Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer},
	booktitle = {Proc. of River Flow 2004},
	year = {2004},
	pages = {703--712},
	publisher = {A. A. Balkema Publishers},
	organization = {A. A. Balkema Publishers},
	author = {Michael Klar and Markus Jehle and Detert, M. and G. H. Jirka and Bernd J{\"a}hne and H.-J. K{\"o}hler and Wenka, T.}
}
@mastersthesis {kirchner_04_spatial,
	title = {Spatial extensions to self-modeling curve resolution},
	year = {2004},
	school = {University of Heidelberg},
	author = {Kirchner, M.}
}
@mastersthesis {feistner_04_statistische,
	title = {Statistische Karten in der Magnetresonanzspektroskopie},
	year = {2004},
	school = {University of Heidelberg},
	author = {Feistner, L.}
}
@article {zhang2004,
	title = {Studying dynamical processes of air-sea exchanges with air-water interface image techniques},
	journal = {Recent Research Developments in Fluid Dynamics},
	volume = {5},
	year = {2004},
	pages = {57--87},
	url = {www-pord.ucsd.edu/~xzhang/publication/fd1.pdf},
	author = {Zhang, X. and Christoph S. Garbe}
}
@article {garbe2004a,
	title = {A surface renewal model to analyze infrared image sequences of the ocean surface for the study of air-sea heat and gas exchange},
	journal = {J. Geophys. Res.},
	volume = {109},
	number = {C8},
	year = {2004},
	pages = {1-18},
	abstract = {Thermographic techniques are presented that directly measure the temperature difference across the thermal boundary layer at the sea surface, the probability density function of surface renewal, the net heat flux, and the heat transfer velocity during nighttime. The techniques are based on a model of surface renewal. Through the use of digital image processing techniques, temporally and spatially highly resolved measurements are feasible, limited only by the thermal imager. We present laboratory measurements from the Heidelberg Aeolotron and field measurements from the GasExII cruise taken at a spatial resolution of 3 mm and temporal resolution of 10 ms. The net heat flux estimates of the thermographic techniques and micrometeorological methods agree with an error less than 5\% for conditions in which the surface renewal model is applicable. Experimental evidence is presented for the probability density function of surface renewal to be best described by a logarithmic normal distribution. At moderate and high wind speeds when the influence of surface films is not significant, surface renewal seems to be an adequate model for air-water heat exchange.},
	issn = {0148-0227},
	doi = {10.1029/2003JC001802},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne}
}
@conference {Neumann-et-al-04a,
	title = {SVM-based Feature Selection by Direct Objective Minimisation},
	booktitle = {Pattern Recognition, Proc. 26th DAGM Symposium},
	series = {lncs},
	volume = {3175},
	year = {2004},
	pages = {212-219},
	publisher = {Springer},
	organization = {Springer},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@incollection {hader_04_two-stage,
	title = {Two-Stage Classification with Automatic Feature Selection for an Industrial Application},
	year = {2004},
	pages = {137-144},
	publisher = {Springer},
	author = {S. Hader and Fred A. Hamprecht},
	editor = {Weihs, C. and Gaul, W.}
}
@incollection {Ruhnau-et-al-04,
	title = {Variational Optical Flow Estimation for Particle Image Velocimetry},
	year = {2004},
	month = {Sept},
	publisher = {Deutsche Gesellschaft f{\"u}r Laser-Anemometrie GALA e.V.},
	chapter = {30},
	address = {Karlsruhe},
	author = {Ruhnau, P. and Kohlberger, T. and Nobach, H. and Schn{\"o}rr, C.},
	editor = {Ruck, B. and Leder, A. and Dopheide}
}
@conference {jaehne2004b,
	title = {Vergeichende Analyse moderner Bildsensoren f{\"u}r die optische Messtechnik},
	booktitle = {Sensoren und Messsysteme 2004},
	volume = {1829},
	year = {2004},
	pages = {317--324},
	doi = {10.5281/zenodo.14560},
	author = {Bernd J{\"a}hne}
}
@unpublished {vogel2004,
	title = {Visualisierung von Gasaustauschprozessen durch Lumineszenzspektroskopie mit Ruthenium als Phosphoreszenzstoff},
	year = {2004},
	note = {Miniforschung vom 01.03. -- 05.04.2004},
	author = {Felix Vogel}
}
@article {hamprecht_04_bild,
	title = {Vom Bild zur Information},
	journal = {Ruperto Carola -- Forschungsmagazin der Universit{\"a}t Heidelberg},
	volume = {03.2004},
	number = {0051},
	year = {2004},
	pages = {9-12},
	doi = {http://www.uni-heidelberg.de/presse/ruca/ruca04-03/s09bild.html},
	author = {Fred A. Hamprecht and Bernd J{\"a}hne}
}
@booklet {hamprecht2004,
	title = {Vom Bild zur Information},
	year = {2004},
	author = {Fred A. Hamprecht and Bernd J{\"a}hne}
}
@phdthesis {stoehr2003,
	title = {Analysis of Flow and Transport in Refractive Index Matched Porous Media},
	year = {2003},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In the present work a novel method for the measurement of flow and transport in porous media has been developped. Through the employment of particularly applicative solids, liquids and fluorescent dyes and the application of a method for the highly precise matching of refractive indices, the dynamics of the dye distribution inside a threedimensional porous medium could be determined with a high temporal and spatial resolution using planar laser-induced fluorescence. For the data analysis specifically adapted algorithms for image preprocessing have been developed and a method for local parameter estimation has been adapted and significantly enhanced for the present application. The performed measurements represent the first simultaneous estimation of the longitudinal and both transversal hydrodynamic dispersion coefficients. Whereas for the longitudinal dispersion a previously known power-law could be confirmed, the significantly different behavior of the transversal dispersion in vertical and horizontal direction has been observed for the first time. Furthermore the measurements provide the first direct evidence for the existence of stagnant zones in the liquid phase, which have an important effect on the dispersion and are a potential explanation for the power-law behavior. Finally the described technique was used for the first highly resolved visualization of the flow of two immiscible liquids in a threedimensional porous medium.},
	url = {http://www.ub.uni-heidelberg.de/archiv/3733},
	author = {M. St{\"o}hr}
}
@conference {hissmann_03_bayessche,
	title = {Bayessche Sch{\"a}tzung von H{\"o}henkarten aus der Wei\DF licht-Interferometrie},
	booktitle = {Oberfl{\"a}chenmesstechnik 2003},
	year = {2003},
	pages = {187--196},
	author = {Hissmann, M. and Fred A. Hamprecht}
}
@phdthesis {smolyar2003,
	title = {Bildgebende Spektroskopie an Pflanzenbl{\"a}ttern},
	year = {2003},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this work, new methods of image spectroscopy were developed that were used for studying spectral characteristics and spatial distribution of water and chlorophyll in plant leaves. Two image spectrometers for VIS and NIR areas using CCD cameras were built: a prismatic CCD spectrometer for receiving imagespectra with spectral and spatial coordinate; a multispectral CCD image spectrometer for investigation of spectral images for discrete wavelengths using a set of bandpass filters. In comparison with serial spectrometers, the developed image spectrometer has better characteristics. A innovative method for the processing of the spectral images was developed, allowing the analysis of a spectral images sequence and spectra of separate structural elements of inhomogeneous objects. The influence of multiple light scattering on optical characteristics of plant leaves was investigated. A method to determine the true value of absorption was developed considering the interaction of multiple light scattering and absorption. Separated spectra for plant leaves tissue and vein were investigated. A spectral technique to find detailed distribution of water and chlorophyll in leaves were developed. For the first time a profile images of water distribution on plant leaves were obtained. Four water states during physiological processes was shown and analyzed. The developed methods of image spectroscopy have a general character and can be used for studying non-uniform mirco- and macroobjects.},
	url = {http://www.ub.uni-heidelberg.de/archiv/4268/},
	author = {Smolyar, N.}
}
@article {Keuchel-et-al-02a,
	title = {Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming},
	volume = {25},
	number = {11},
	year = {2003},
	pages = {1364{\textendash}1379},
	author = {Keuchel, J. and Schn{\"o}rr, C. and Schellewald, C. and Daniel Cremers}
}
@incollection {scholes2003,
	title = {Biosphere-Atmosphere Interactions},
	year = {2003},
	pages = {19--71},
	publisher = {Springer},
	chapter = {2},
	doi = {10.1007/978-3-642-18984-5_2},
	author = {Mary C. Scholes and Patricia A. Matrai and Meinrat O. Andreae and Keith A. Smith and Martin R. Manning and Paulo Artaxo and Leonard A. Barrie and Timothy S. Bates and James H. Butler and Paolo Ciccioli and Stanislaw A. Cieslik and Robert J. Delmas and Frank J. Dentener},
	editor = {Guy P. Brasseur and Ronald G. Prinn and Alexander A. P. Pszenny}
}
@conference {ommer:EMMCVPR:2003,
	title = {A Compositionality Architecture for Perceptual Feature Grouping},
	booktitle = {Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition},
	volume = {2683},
	year = {2003},
	pages = {275--290},
	publisher = {Springer},
	organization = {Springer},
	author = {Bj{\"o}rn Ommer and J. M. Buhmann}
}
@techreport {Schuele-et-al-03,
	title = {Discrete Tomography By Convex-Concave Regularization and D.C. Programming},
	number = {15},
	year = {2003},
	note = {\em Discr. Appl. Math.\/, accepted for publication},
	month = {December},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Sch{\"u}le, T. and Schn{\"o}rr, C. and Weber, S. and Hornegger, J.}
}
@conference {Kohlberger-et-al-03c,
	title = {Domain Decomposition for Parallel Variational Optical Flow Computation},
	booktitle = {Pattern Recognition, Proc. 25th DAGM Symposium},
	series = {LNCS},
	volume = {2781},
	year = {2003},
	pages = {196{\textendash}203},
	publisher = {Springer},
	organization = {Springer},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.},
	editor = {Michaelis, B. and Krell, G.}
}
@techreport {Kohlberger-et-al-03a,
	title = {Domain Decomposition for Variational Optical Flow Computation},
	number = {07/2003},
	year = {2003},
	note = {\em IEEE Trans. Image Processing\/, revised and resubmitted},
	month = {May},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.}
}
@techreport {Neumann-et-al-04b,
	title = {Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification},
	number = {5},
	year = {2003},
	note = {\emphPattern Recognition, revised and resubmitted},
	month = {March},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@incollection {hader_03_efficient,
	title = {Efficient Density Clustering},
	year = {2003},
	pages = {39-48},
	publisher = {Springer},
	doi = {10.1007/b13634},
	author = {S. Hader and Fred A. Hamprecht},
	editor = {Schader, M. and Gaul, W. and Vichi, M.}
}
@article {garbe2003c,
	title = {Estimation of complex motion from thermographic image sequences},
	journal = {SPIE Proc.},
	volume = {5073},
	year = {2003},
	pages = {303--317},
	abstract = {In this contribution a novel technique for computing complexmotion involving heat transport processes will be presented. Theproposed technique is a local gradient based approach, combiningtransport models with motion analysis. It allows for thesimultaneous estimation of both motion and parameter of anunderlying transport model. Since the analysis is based on thermalimage sequences, estimates are computed to a high temporal andspatial resolution, limited only by the resolution and frame rateof the employed IR camera. This novel technique was utilized onexchange processes at the atmosphere/ocean boundary, wheresignificant parameters of heat transfer could be measured and atransport model verified. Using the presented algorithms, surfaceflows as well as convergences and divergences on air-waterinterfaces can be measured accurately. Apart from applications inoceanography and botany, relevant benefits of the proposedtechnique to NDT will be presented. It is possible to compensatefor motion to reach accuracies much better than 1/10th of a pixel.Through the direct estimation of locally resolved diffusivities inmaterials, insights can be gained about defects present. Byestimating not only isotropic diffusion but also the whole matrixof anisotropic diffusion, the technique is highly relevant tomeasurements of composite materials.},
	doi = {10.1117/12.501121},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@article {garbe2003b,
	title = {Estimation of surface flow and net heat flux from infrared image sequences},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {19},
	number = {3},
	year = {2003},
	pages = {159--174},
	abstract = {The study of dynamical processes at the sea surface interface using infrared image sequence analysis has gained tremendous popularity in recent years. Heat is transferred by similar transport mechanisms as gases relevant to global climatic changes. These similarities lead to the use of infrared cameras to remotely visualize and quantitatively estimate parameters of the underlying processes. Relevant parameters that provide important evidence about the models of air-sea gas transfer are the temperature difference across the thermal sub layer, the probability density function of surface renewal and the flow field at the surface. Being a driving force in air sea interactions, it is of equal importance to measure heat fluxes. In this paper we will present algorithms to measure the above parameters of air-sea gas transfer during night-time and show how to combine physical modeling and quantitative digital image processing algorithms to identify transport models. The image processing routines rely on an extension of optical flow computations to incorporate brightness changes in a total least squares (TLS) framework. Statistical methods are employed to support a model of gas transfer and estimate its parameters. Measurements in a laboratory environment were conducted and results verified with ground truth data gained from traditional measurement techniques.},
	doi = {10.1023/A:1026233919766},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@incollection {hamprecht_03_exploring,
	title = {Exploring a space of materials: spatial sampling design and subset selection},
	year = {2003},
	note = {1},
	publisher = {Wiley},
	chapter = {13},
	author = {Fred A. Hamprecht and Agrell, E.},
	editor = {Cawse, J. N.}
}
@phdthesis {kirchgessner2003,
	title = {Extraktion physiologischer Koordinatensysteme von Pflanzenwurzeln und -bl{\"a}ttern aus Bildsequenzen},
	year = {2003},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {The present work develops a method for analyzing the growth of plant leaves and roots in natural object coordinates using image processing techniques. The method is based on the structure tensor method that has already been used for the acquisition of growth charts in image coordinates. The main advantages of growth measurements in physiological coordinates is the possibility to compare the results of different measurements and the direct interpretation of the results. A method for extracting the coordinate axes is developed both for leaves and for roots. The center line of a root is identified as the physiological coordinate axis by means of a method based on active contours. In the case of leaves, the physiological coordinate axes are represented by their veins. The latter are searched for by use of a tracking algorithm which relies on matching methods. All physiological coordinate axes are represented in the form of B-splines. The growth charts are sampled from the B-spline positions, thus providing a coordinate transformation into the corresponding physiological coordinate system. The transformation has subpixel accuracy. Thus, it significantly stays behind the spatial resolution of the growth charts. The accomplishment of the present method provides a powerful tool for growth analysis of plant leaves and roots.},
	url = {http://www.ub.uni-heidelberg.de/archiv/3482},
	author = {Norbert Kirchge{\ss}ner}
}
@conference {Neumann-et-al-03a,
	title = {Feasible Adaption Criteria for Hybrid Wavelet {\textendash} Large Margin Classifiers},
	booktitle = {Proc. Computer Analysis of Images and Patterns (CAIP{\textquoteright}03)},
	series = {LNCS},
	volume = {2756},
	year = {2003},
	pages = {588{\textendash}595},
	publisher = {Springer},
	organization = {Springer},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.},
	editor = {Petkov, N. and Westenberg, M.A.}
}
@conference {jaehne2003a,
	title = {Image sequence analysis in environmental and live sciences},
	booktitle = {Proceedings of the 25th DAGM Symposium on Pattern Recognition},
	volume = {2781},
	year = {2003},
	note = {invited},
	pages = {608--617},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Image sequence processing techniques are essential to study dynamical processes such as exchange, growth, and transport processes. In this survey paper, a generalized framework for the estimation of the parameters of dynamic processes including motion fields is presented. Some examples from environmental and live sciences illustrate how this framework helped to tackles some key questions that could not be solved without taking and analyzing image sequences.},
	doi = {10.1007/978-3-540-45243-0_77},
	author = {Bernd J{\"a}hne},
	editor = {B. Michaelis and G. Krell}
}
@article {wenig2003,
	title = {Intercontinental transport of nitrogen oxide pollution plumes},
	journal = {Atmos. Chem. Phys.},
	volume = {3},
	year = {2003},
	pages = {387--393},
	doi = {10.5194/acp-3-387-2003},
	author = {Mark Wenig and N. Spichtinger and A. Stohl and G. Held and S. Beirle and T. Wagner and Bernd J{\"a}hne and Ulrich Platt}
}
@article {Rother2003a,
	title = {Linear Multi-View Reconstruction for Translating Cameras},
	journal = {Nada.Kth.Se},
	year = {2003},
	abstract = {This paper presents a linear multi view reconstruction algorithm for translating cameras with fixed internal parameters. The main advantages of this method are a) points and camera centers are computed simultaneously from one linear system containing all image data b) the allowance of arbitrary missing data. We show that the key to linearize the SFM problem is the infinite homography which comprises of the cameras{\textquoteright} calibration and rotation. This insight unifies reconstruction methods for calibrated cameras, e.g. Olien-sis [9], and uncalibrated cameras, e.g. Rother-Carlsson [10]. A further contribution of this paper is the summary and comparison of different approaches to determine the infinite homography.},
	url = {http://www.nada.kth.se/ carstenr/papers/paper_ssab03.pdf},
	author = {Carsten Rother}
}
@conference {Rother2003b,
	title = {Linear multi-view reconstruction of points, lines, planes and cameras using a reference plane},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2},
	year = {2003},
	pages = {1210{\textendash}1217},
	abstract = {This paper presents a new linear method for reconstructing simultaneously 3D features (points, lines and planes) and cameras from many perspective views by solving a single linear system. It assumes that a real or virtual reference plane is visible in all views. We call it the Direct Reference Plane (DRP) method. It is well known that the projection relationship between uncalibrated cameras and 3D features is non-linear in the absence of a reference plane. With a known reference plane, points and cameras have a linear relationship, as shown in [16]. The main contribution of this paper is that lines and cameras, as well as, planes and cameras also have a linear relationship. Consequently, all 3D features and all cameras can be reconstructed simultaneously from a single linear system, which handles missing image measurements naturally. A further contribution is an extensive experimental comparison, using real data, of different reference plane and non-reference plane reconstruction methods. For difficult reference plane scenarios, with point or line features, the DRP method is superior to all compared methods. Finally, an extensive list of reference plane scenarios is presented, which shows the wide applicability of the DRP method.},
	doi = {10.1109/iccv.2003.1238629},
	url = {http://www.nada.kth.se/carstenr},
	author = {Carsten Rother}
}
@conference {Weber-et-al-03b,
	title = {A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2003},
	year = {2003},
	pages = {41{\textendash}45},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C. and Hornegger, J.}
}
@conference {Weber-et-al-03a,
	title = {A Linear Programming Relaxation for Binary Tomography with Smoothness Priors},
	booktitle = {Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}03)},
	year = {2003},
	month = {May 14-16},
	address = {Palermo, Italy},
	author = {Weber, S. and Schn{\"o}rr, C. and Hornegger, J.}
}
@article {stoehr2003a,
	title = {Measurement of 3D pore-scale flow in index-matched porous media},
	journal = {Exp. Fluids},
	volume = {35},
	number = {2},
	year = {2003},
	pages = {159--166},
	abstract = {We present the experimental analysis of fluid flow at the pore-scale of a transparent porous medium with matched refractive indices of the solid and liquid phases. The planar laser-induced fluorescence (PLIF) technique described is the first to simultaneously visualize the 3D pore-scale flow of two immiscible liquid phases in porous media. Through the application of a highly precise index matching method and the employment of up-to-date CCD imaging hardware, the system features a high spatial resolution and sampling rate. The method was used to study the dispersion of a tracer dye in single-phase flow and the displacement of oil by water in an imbibition process.},
	issn = {0723-4864},
	doi = {10.1007/s00348-003-0641-x},
	author = {M. St{\"o}hr and Roth, K. and Bernd J{\"a}hne}
}
@phdthesis {Rother2003,
	title = {Multi-View Reconstruction and Camera Recovery using a Real or Virtual Reference Plane},
	year = {2003},
	type = {phd},
	abstract = {Reconstructing a 3-dimensional scene from a set of 2-dimensional images is a fundamental problem in computer vision. A systemcapable of performing this task can be used in many applications in robotics, architecture, archaeology, biometrics, human computer interaction and the movie and entertainment industry. Most existing reconstruction approaches exploit one source of information to tackle the problem. This is the motion of the camera, the 2D images are taken from different viewpoints.We exploit an additional information source, the reference plane,whichmakes it possible to reconstruct difficult scenes where other methods fail. A real scene plane may serve as the reference plane. Furthermore, there are many alternative techniques to obtain virtual reference planes. For instance, orthogonal directions in the scene provide a virtual reference plane, the plane at infinity, or images taken with a parallel projection camera. A collection of known and novel reference plane scenarios is presented in this thesis. The main contribution of the thesis is a novel multi-view reconstruction approach us- ing a reference plane. The technique is applicable to three different feature types, points, lines and planes. The novelty of our approach is that all cameras and all features (off the reference plane) are reconstructed simultaneously from a single linear system of im- age measurements. It is based on the novel observation that cameras and features have a linear relationship if a reference plane is known. In the absence of a reference plane, this relationship is non-linear. Thus many previous methods must reconstruct features and cameras sequentially. Another class of methods, popular in the literature, is factorization, but, in contrast to our approach, this has the serious practical drawback that all features are required to be visible in all views. Extensive experiments show that our approach is superior to all previously suggested reference plane and non-reference plane methods for difficult reference plane scenarios. Furthermore, the thesis studies scenes which do not have a unique reconstruction, so- called critical configurations. It is proven that in the presence of a reference plane the set of critical configurations is small. Finally, the thesis introduces a complete, automatic multi-view reconstruction system based on the reference plane approach. The input data is a set of images and the output a 3D point reconstruction together with the corresponding cameras.},
	isbn = {9172834226},
	url = {http://www.google.com/url?sa=t\&rct=j\&q=\&esrc=s\&source=web\&cd=4\&cad=rja\&uact=8\&ved=0CDUQFjAD\&url=http\%3A\%2F\%2Fwww.nada.kth.se\%2Futbildning\%2Fforsk.utb\%2Favhandlingar\%2Fdokt\%2Frother.pdf\&ei=AyX_VPKmIomeNqeOgpgL\&usg=AFQjCNHCmc75P5EHYWLtBUaHtUAs4yOnJw\&bvm=bv.},
	author = {Carsten Rother}
}
@conference {Heiler-Schnoerr-03a,
	title = {Natural Statistics for Natural Image Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Computer Vision (ICCV 2003)},
	year = {2003},
	month = {Oct. 13-16},
	pages = {1259-1266},
	address = {Nice, France},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@incollection {eisele_03_approach,
	title = {A new approach for defect detection in X-ray CT images},
	volume = {2449},
	year = {2003},
	pages = {345-352},
	publisher = {Springer},
	doi = {10.1007/3-540-45783-6},
	author = {H. Eisele and Fred A. Hamprecht},
	editor = {Luc Van Gool}
}
@conference {schimpf2003a,
	title = {Observational studies of parameters influencing air--sea gas exchange},
	booktitle = {Geophysical Research Abstracts},
	volume = {5},
	year = {2003},
	pages = {09328},
	author = {Uwe Schimpf and Nelson M. Frew and Kalkenings, R. and Christoph S. Garbe and Bernd J{\"a}hne}
}
@phdthesis {restle_03_optimierung,
	title = {Optimierung der Wei\DFlichtinterferometrie f{\"u}r Applikationen der industriellen Qualit{\"a}tskontrolle},
	year = {2003},
	publisher = {University of Heidelberg},
	author = {J. Restle}
}
@phdthesis {groening2003,
	title = {Radiometrische Kalibrierung und Charakterisierung von CCD- uund CMOS-Bildsensoren und Monokulares 3D-Tracking in Echtzeit},
	year = {2003},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this presented thesis a CCD and a CMOS image sensor are characterized relative to their fundamental radiometric properties. A new technic for a monocular 3D-Tracking is realized. Dark currents of both sensors are examined. The linearity and the global total variance of noise of the CCD image sensor are determined and the fixed-pattern noise is corrected. The absolute quantum efficiency is calculated from calibrated data of the spectral radiance of the integration sphere. Additionally the signal noise ratio and the relative error are determined. The response of the CMOS sensor is modeled and can be computed from the calibrated data of the spectral radiance with known data of the quantum efficiency. The global total variance of noise is measured. The signal noise ratio and the relative error are computed with these data.},
	url = {http://www.ub.uni-heidelberg.de/archiv/3589},
	author = {Hermann Gr{\"o}ning}
}
@conference {Bruhn-et-al-03a,
	title = {Real-Time Optic Flow Computation with Variational Methods},
	booktitle = {Proc. Computer Analysis of Images and Patterns (CAIP{\textquoteright}03)},
	series = {LNCS},
	volume = {2756},
	year = {2003},
	pages = {222-229},
	publisher = {Springer},
	organization = {Springer},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Feddern, Christian and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Petkov, N. and Westenberg, M.A.}
}
@article {Cremers-et-al-02c,
	title = {Shape Statistics in Kernel Space for Variational Image Segmentation},
	journal = {Pattern Recognition},
	volume = {36},
	number = {9},
	year = {2003},
	pages = {1929--1943},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Cremers-et-al-02c,
	title = {Shape Statistics in Kernel Space for Variational Image Segmentation},
	journal = {Pattern Recognition},
	volume = {36},
	number = {9},
	year = {2003},
	pages = {1929{\textendash}1943},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {uttenweiler2003a,
	title = {Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences.},
	journal = {J Biomed Opt},
	volume = {8},
	number = {1},
	year = {2003},
	pages = {40--47},
	publisher = {Ruprecht-Karls-Universit{\"a}t Heidelberg, Institut f{\"u}r Physiologie und Pathophysiologie Medical Biophysics, Im Neuenheimer Feld 326, 69120 Heidelberg, Germany. dietmar.uttenweiler@urz.uni-heidelberg.de},
	abstract = {We present an approach for significantly improving the quantitative analysis of motion in noisy fluorescence microscopic image sequences. The new partial differential equation based method is a general extension of a 2-D nonlinear anisotropic diffusion filtering scheme to a specially adapted 3D nonlinear anisotropic diffusion filtering scheme, with two spatial image dimensions and the time t in the image sequence as the third dimension. Motion in image sequences is considered as oriented, line-like structures in the spatiotemporal x,y,t domain, which are determined by the structure tensor method. Image enhancement is achieved by a structure adopted smoothing kernel in three dimensions, thereby using the full 3D information inherent in spatiotemporal image sequences. As an example for low signal-to-noise ratio (SNR) microscopic image sequences we have applied this method to noisy in vitro motility assay data, where fluorescently labeled actin filaments move over a surface of immobilized myosin. With the 3D anisotropic diffusion filtering the SNR is significantly improved (by a factor of 3.8) and closed object structures are reliably restored, which were originally degraded by noise. Generally, this approach is very valuable for all applications where motion has to be measured quantitatively in low light level fluorescence microscopic image sequences of cellular, subcellular, and molecular processes.},
	doi = {10.1117/1.1527627},
	url = {http://dx.doi.org/10.1117/1.1527627},
	author = {D. Uttenweiler and C. Weber and Bernd J{\"a}hne and Rainer H. A. Fink and Schaar, H.}
}
@article {Cremers-Schnoerr-02d,
	title = {Statistical Shape Knowledge in Variational Motion Segmentation},
	journal = {Image and Vision Comp.},
	volume = {21},
	number = {1},
	year = {2003},
	pages = {77-86},
	author = {Daniel Cremers and Christoph Schn{\"o}rr}
}
@conference {Schellewald-Schnoerr-03a,
	title = {Subgraph Matching with Semidefinite Programming},
	booktitle = {Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}03)},
	year = {2003},
	month = {May 14-16},
	address = {Palermo, Italy},
	author = {Schellewald, C. and Schn{\"o}rr, C.}
}
@conference {garbe2003a,
	title = {A surface renewal model to analyze infrared image sequences for the study of air-sea heat and gas exchange},
	booktitle = {Geophysical Research Abstracts},
	year = {2003},
	pages = {11893},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne}
}
@incollection {hader_03_system,
	title = {System Concept for Image Sequence Classification in Laser Welding},
	volume = {2781},
	year = {2003},
	pages = {212-219},
	publisher = {Springer},
	doi = {10.1007/b12010},
	author = {S. Hader}
}
@conference {jaehne2003b,
	title = {Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test sequences},
	booktitle = {In Proceedings of IEEE International Conference on Image Processing},
	year = {2003},
	doi = {10.1109/ICIP.2003.1247184},
	url = {./pdf/2003/barth_ICIP2003.pdf:PDF},
	author = {Bernd J{\"a}hne and Christoph S. Garbe}
}
@conference {Cremers-Sochen-Schnoerr-03a,
	title = {Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling},
	booktitle = {Scale Space Methods in Computer Vision},
	volume = {2695},
	year = {2003},
	pages = {388--400},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@conference {Cremers-Sochen-Schnoerr-03a,
	title = {Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling},
	booktitle = {Scale Space Methods in Computer Vision},
	series = {LNCS},
	volume = {2695},
	year = {2003},
	pages = {388{\textendash}400},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@conference {Kohlberger-et-al-03b,
	title = {Variational Dense Motion Estimation Using the Helmholtz Decomposition},
	booktitle = {Scale Space Methods in Computer Vision},
	series = {LNCS},
	volume = {2695},
	year = {2003},
	pages = {432{\textendash}448},
	publisher = {Springer},
	organization = {Springer},
	author = {Kohlberger, T. and M{\'e}min, E. and Schn{\"o}rr, C.},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@techreport {Bruhn-et-al-03b,
	title = {Variational Optic Flow Computation in Real-Time},
	number = {89},
	year = {2003},
	note = {\em IEEE Trans. Image Processing\/, revised and resubmitted},
	month = {May},
	institution = {Dept. Math. and Comp. Science},
	type = {Fachrichtung 6.1 {\textendash} Mathematik, Technical Report},
	address = {Saarland University, Germany},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Feddern, Christian and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@incollection {spies2002f,
	title = {3D-Blattbewegung und Wachstum},
	year = {2002},
	pages = {267--270},
	publisher = {Wichmann},
	url = {http://d-nb.info/96618503X},
	author = {Hagen Spies and Bernd J{\"a}hne},
	editor = {Thomas Luhmann}
}
@incollection {klar2002,
	title = {3D-Str{\"o}mungsmessung in Kiesporen},
	year = {2002},
	pages = {247--250},
	publisher = {Wichmann},
	url = {http://d-nb.info/96618503X},
	author = {Michael Klar and P. Stybalkowski and Hagen Spies and Bernd J{\"a}hne},
	editor = {Thomas Luhmann}
}
@article {Hinterberger-et-al-02,
	title = {Analysis of Optical Flow Models in the Framework of Calculus of Variations},
	journal = {Numer. Funct. Anal. Optimiz.},
	volume = {23},
	number = {1/2},
	year = {2002},
	pages = {69{\textendash}89},
	author = {Hinterberger, Walter and Scherzer, Otmar and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@phdthesis {eisele_02_automated,
	title = {Automated defect detection and evaluation in X-ray CT images},
	year = {2002},
	publisher = {University of Heidelberg},
	url = {www.ub.uni-heidelberg.de/archiv/3106},
	author = {H. Eisele}
}
@article {Keuchel-et-al-03a,
	title = {Automatic Land Cover Analysis for Tenerife by Supervised Classification using Remotely Sensed Data},
	journal = {Remote Sensing of Environment},
	year = {2002},
	note = {Subitted},
	author = {Keuchel, J. and Naumann, S. and Heiler, M. and Siegmund, A.}
}
@article {hamprecht_02_chemical,
	title = {Chemical library subset selection algorithms: a unified derivation using spatial statistics},
	journal = {Journal of Chemical Information and Computer Sciences},
	volume = {42},
	year = {2002},
	pages = {414-428},
	author = {Fred A. Hamprecht and Thiel, W. and van Gunsteren, W. F.}
}
@conference {long2002,
	title = {A closer look at short waves generated by wave interactions with adverse currents},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {121--128},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	author = {S. R. Long and J. Klinke},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {Bruhn-et-al-02b,
	title = {Combining the Advantages of Local and Global Optic Flow Methods},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {454{\textendash}462},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Christoph Schn{\"o}rr},
	editor = {van Gool, L.}
}
@conference {spies2002b,
	title = {Dense parameter fields from total least squares},
	booktitle = {Proceedings of the 24th DAGM Symposium on Pattern Recognition},
	volume = {LNCS 2449},
	year = {2002},
	pages = {379--386},
	publisher = {Springer},
	organization = {Springer},
	abstract = {A method for the interpolation of parameter fields estimated by total least squares is presented. This is applied to the study of dynamic processes where the motion and further values such as divergence or brightness changes are parameterised in a partial differential equation. For the regularisation we introduce a constraint that restricts the solution only in the subspace determined by the total least squares procedure. The performance is illustrated on both synthetic and real test data.},
	doi = {10.1007/3-540-45783-6_46},
	author = {Hagen Spies and Christoph S. Garbe},
	editor = {Luc Van Gool}
}
@conference {Bruhn-et-al-02a,
	title = {Designing 3{\textendash}D Nonlinear Diffusion Filters for High Performance Cluster Computing},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {290{\textendash}297},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Bruhn, Andr{\'e}s and Jakob, Tobias and Fischer, Markus and Kohlberger, Timo and Weickert, Joachim and Br{\"u}ning, Ulrich and Christoph Schn{\"o}rr},
	editor = {van Gool, L.}
}
@article {Cremers-et-al-02b,
	title = {Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford{\textendash}Shah functional},
	journal = {Int. J. Computer Vision},
	volume = {50},
	number = {3},
	year = {2002},
	pages = {295{\textendash}313},
	author = {Daniel Cremers and Tischh{\"a}user, Florian and Weickert, Joachim and Christoph Schn{\"o}rr}
}
@book {jaehne2002,
	title = {Digital Image Processing},
	year = {2002},
	publisher = {Springer},
	organization = {Springer},
	edition = {5th},
	doi = {10.1007/978-3-662-04781-1},
	url = {http://d-nb.info/963597833},
	author = {Bernd J{\"a}hne}
}
@book {jaehne2002a,
	title = {Digitale Bildverarbeitung},
	year = {2002},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	edition = {F{\"u}nfte},
	doi = {10.1007/978-3-662-06731-4},
	url = {http://d-nb.info/963601830},
	author = {Bernd J{\"a}hne}
}
@conference {zappa2002,
	title = {Effect of microscale wave breaking on air-water gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {23--29},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0023},
	author = {Christopher J. Zappa and William E. Asher and Jessup, A. T. and J. Klinke and S. R. Long},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@mastersthesis {beurer2002,
	title = {Entwicklung von Algorithmen zur Analyse interferometrischer Aufnahmen},
	year = {2002},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Entwicklung von Algorithmen zur Analyse interferometrischer Aufnahmen f{\"u}r die schnelle, hochpr{\"a}zise 3D-Messtechnik: Die vorliegende Diplomarbeit besch{\"a}ftigt sich mit der interferometrischen Vermessung von optisch glatten Oberfl{\"a}chen. Im Gegensatz zu phasenschiebenden Methoden oder der Wei{\ss}lichtinterferometrie, die zur Vermessung mehrere phasenverschobene Aufnahmen des Messobjektes ben{\"o}tigen, konzentriert sich die Arbeit auf die Auswertung eines einzelnen Interferogramms. Die Bildaufnahme ist so mit einer k{\"u}rzeren Messzeit und einem geringeren technischen Aufwand verbunden. Das Ziel der Auswertung ist die Ermittlung einfacher Oberfl{\"a}chenparameter wie Neigung oder H{\"o}he - nicht die vollst{\"a}ndige Rekonstruktion der Oberfl{\"a}chentopologie. Damit kann auf die ansonsten meist notwendige, rechenaufwendige und fehleranf{\"a}llige Phasenentfaltung verzichtet werden. Die entwickelten Algorithmen basieren auf der Riesztransformation. Diese stellt in der Bildverarbeitung eine neue und vielfach noch unbekannte Methode zur Extraktion lokaler Eigenschaften aus Streifenbildern dar, die sich besonders durch ihre Isotropie-Eigenschaft auszeichnet. Als praxisrelevante Anwendungen werden die Bestimmung der Neigung, der Verkippung und der absoluten H{\"o}he von ebenen Fl{\"a}chen vorgestellt, sowie die Vermessung von Objektstufen. Die letzten beiden Anwendungen werden durch die Verwendung von Wei{\ss}licht erm{\"o}glicht und sind in der klassischen Einzelbildauswertung nicht realisierbar.},
	author = {Beurer, Matthias}
}
@conference {spies2002e,
	title = {Estimating expansion rates from range data sequences},
	booktitle = {15th International Conference on Vision Interface},
	year = {2002},
	pages = {339 - 346},
	author = {Hagen Spies and John L. Barron}
}
@conference {spies2002,
	title = {Evaluating the range flow motion constraint.},
	booktitle = {ICPR},
	year = {2002},
	pages = {517--},
	author = {Hagen Spies and John L. Barron}
}
@phdthesis {cavallo2002,
	title = {Four dimensional particle tracking in biological dynamic processes},
	year = {2002},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Here is presented a general approach to data analysis in multidimensional space using the run length encoding process and volume field method. A study on volume field was carried in order to test the limits on the method and testing against simple Gaussian objects (spots) was made: quantitative measurement was then carried using an angle distribution parameter between the computed results and the expected values. An application of volume field method was tested against results from simulations of chromosome territories using the spherical loop domain (SCD) and the quantitative comparison was made in order to clarify real applications in biologic related field. Two experiment were made, using the run length encoding method. From biological samples subjected to in vivo labeling an then to FISH hybridization, we analyzed the sub-chromosomal movements to see if there were modifications to the underlying structures: we quantify these displacements and compared to other measurements made with other methods. A time recorded HeLA cell sample in vivo labeled was analyzed and his internal marked chromosomes were tracked to analyze displacements related to the activities: here, using the run length encoding, spots were tracked and extracted. A successive Monte Carlo minimization algorithm was used in order to reduce systematic errors.},
	url = {http://www.ub.uni-heidelberg.de/archiv/2471/},
	author = {Cavallo, Antonio}
}
@article {jaehne_02_anspruchsvolle,
	title = {F{\"u}r Anspruchsvolle - Multidimensionale Bildverarbeitung in der Produktion},
	journal = {Qualit{\"a}t und Zuverl{\"a}ssigkeit},
	volume = {47},
	year = {2002},
	pages = {1154-1159},
	author = {Bernd J{\"a}hne and Martin Brocke and H. Eisele and S. Hader and Fred A. Hamprecht and W. Happold and Florian Raisch and J. Restle}
}
@phdthesis {dierig2002,
	title = {Gewinnung von Tiefenkarten aus Fokusserien},
	year = {2002},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/2461},
	author = {Tobias Dierig}
}
@article {wenig2002,
	title = {Intercontinental transport of nitrogen oxide pollution plumes},
	journal = {acpd},
	volume = {3},
	year = {2002},
	pages = {2151--2165},
	doi = {10.5194/acpd-2-2151-2002},
	author = {Mark Wenig and N. Spichtinger and A. Stohl and G. Held and S. Beirle and T. Wagner and Bernd J{\"a}hne and Ulrich Platt}
}
@conference {schimpf2002a,
	title = {On the investigations of statistical properties of the micro turbulence at the ocean surface},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {51--57},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0051},
	author = {Uwe Schimpf and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {scharr2002,
	title = {A linear model for simultaneous estimation of 3D motion and depth},
	booktitle = {Proceedins of IEEE Workshop on Motion and Video Computing 2002, Orlando},
	year = {2002},
	doi = {10.1109/MOTION.2002.1182240},
	author = {Hanno Scharr and K{\"u}sters, R.}
}
@article {Rother2002a,
	title = {Linear multi view reconstruction and camera recovery using a reference plane},
	journal = {International Journal of Computer Vision},
	volume = {49},
	number = {2-3},
	year = {2002},
	pages = {117{\textendash}141},
	abstract = {This paper presents a linear algorithm for simultaneous computation of 3D points and camera positions from multiple perspective views based on having a reference plane visible in all views. The reconstruction and camera recovery is achieved in a single step by finding the null-space of a matrix built from image data using Singular Value Decomposition. Contrary to factorization algorithms this approach does not need to have all points visible in all views. This paper investigates two reference plane configurations: Finite reference planes defined by four coplanar points and infinite reference planes defined by vanishing points. A further contribution of this paper is the study of critical configurations for configurations with four coplanar points. By simultaneously reconstructing points and views we can exploit the numerical stabilizing effect of having wide spread cameras with large mutual baselines. This is demonstrated by reconstructing the outside and inside (courtyard) of a building on the basis of 35 views in one single Singular Value Decomposition.},
	keywords = {Critical configurations, Duality, Missing data, Multiple views, Planar parallax, Projective reconstruction, Reference plane, Structure from motion},
	issn = {09205691},
	doi = {10.1023/A:1020189404787},
	author = {Carsten Rother and Carlsson, Stefan}
}
@conference {Rother2002b,
	title = {Linear multi view reconstruction with missing data},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {2351},
	year = {2002},
	pages = {209{\textendash}324},
	abstract = {General multi view reconstruction from affine or projective cameras has so far been solved most efficiently using methods of factorizing image data matrices into camera and scene parameters. This can be done directly for affine cameras [18] and after computing epipolar geometry for projective cameras [17]. A notorious problem has been the fact that these factorization methods require all points to be visible in all views. This paper presents alternative algorithms for general affine and projective views of multiple points where a) points and camera centers are computed as the nullspace of one linear system constructed from all the image data b) only three points have to be visible in all views. The latter requirement increases the flexibility and usefulness of 3D reconstruction from multiple views. In the case of projective views and unknown epipolar geometry, an additional algorithm is presented which initially assumes affine views and compensates iteratively for the perspective effects. In this paper affine cameras are represented in a projective framework which is novel and leads to a unified treatment of parallel and perspective projection in a single framework. The experiments cover a wide range of different camera motions and compare the presented algorithms to factorization methods, including approaches which handle missing data.},
	keywords = {Affine and Projective Cameras, Linear Multiple View Reconstruction, Missing data, Structure from motion},
	isbn = {9783540437444},
	issn = {16113349},
	doi = {10.1007/3-540-47967-8_21},
	author = {Carsten Rother and Carlsson, Stefan}
}
@conference {spies2002a,
	title = {Local models for dynamic processes in image sequences},
	booktitle = {Dynamic Perception},
	year = {2002},
	pages = {59--64},
	publisher = {Aka GmbH},
	organization = {Aka GmbH},
	author = {Hagen Spies and Tobias Dierig and Christoph S. Garbe and W{\"u}rtz, R. P.},
	editor = {Lappe, M.}
}
@conference {garbe2002b,
	title = {Measuring important parameters for air-sea heat exchange},
	booktitle = {ThermoSense},
	volume = {4710},
	year = {2002},
	pages = {171--182},
	publisher = {SPIE},
	organization = {SPIE},
	doi = {10.1117/12.459564},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne},
	editor = {Maldague, X. P. and Rozlosnik, A. E.}
}
@conference {garbe2002a,
	title = {Measuring the sea surface heat flux and probability distribution of surface renewal events},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {109-114},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0109},
	author = {Christoph S. Garbe and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {klar2002a,
	title = {A miniaturized 3-D particle-tracking velocimetry system to measure the pore flow within a gravel layer},
	booktitle = {Proc. 11th Int. Symp. Applications of Laser Techniques to Fluid Mechanics},
	year = {2002},
	pages = {2.3},
	url = {http://in3.dem.ist.utl.pt/lxlaser2002/papers.asp},
	author = {Michael Klar and P. Stybalkowski and Hagen Spies and Bernd J{\"a}hne}
}
@conference {garbe2002e,
	title = {Mixed OLS-TLS for the estimation of dynamic processes with a linear source term},
	booktitle = {Proceedings of the 24th DAGM Symposium on Pattern Recognition},
	volume = {2449},
	year = {2002},
	pages = {463--471},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	abstract = {We present a novel technique to eliminate strong biases in parameter estimation were part of the data matrix is not corrupted by errors. Problems of this type occur in the simultaneous estimation of optical flow and the parameter of linear brightness change as well as in range flow estimation. For attaining highly accurate optical flow estimations under real world situations as required by a number of scientific applications, the standard brightness change constraint equation is violated. Very often the brightness change has to be modelled by a linear source term. In this problem as well as in range flow estimation, part of the data term consists of an exactly known constant. Total least squares (TLS) assumes the error in the data terms to be identically distributed, thus leading to strong biases in the equations at hand. The approach presented in this paper is based on a mixture of ordinary least squares (OLS) and total least squares, thus resolving the bias encountered in TLS alone. Apart from a thorough performance analysis of the novel estimator, a number of applications are presented.},
	doi = {10.1007/3-540-45783-6_56},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne},
	editor = {Luc Van Gool}
}
@article {gee_02_molecular,
	title = {A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution},
	journal = {Helv. Chim. Acta},
	volume = {85},
	year = {2002},
	pages = {618-632},
	author = {Gee, P. J. and Fred A. Hamprecht and Schuler, L. D. and van Gunsteren, W. F. and Duchardt, E. and Schwalbe, H. and Albert, M. and Seebach, D.}
}
@conference {Cremers-Schnoerr-02,
	title = {Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {472{\textendash}480},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Daniel Cremers and Christoph Schn{\"o}rr},
	editor = {van Gool, L.}
}
@article {jaehne2002g,
	title = {Multidimensionale Bildverarbeitung in der Produktion},
	journal = {QZ},
	volume = {47},
	year = {2002},
	pages = {1154--1159},
	url = {http://www.qz-online.de/qz-zeitschrift/archiv/artikel/multidimensionale-bildverarbeitung-in-der-produktion-fuer-anspruchsvolle-338129.html},
	author = {Bernd J{\"a}hne and Martin Brocke and H. Eisele and S. Hader and Fred A. Hamprecht and W. Happold and Florian Raisch and J. Restle}
}
@conference {Rother2002,
	title = {A new approach to vanishing point detection in architectural environments},
	booktitle = {Image and Vision Computing},
	volume = {20},
	number = {9-10},
	year = {2002},
	pages = {647{\textendash}655},
	abstract = {A man-made environment is characterized by many parallel lines and orthogonal edges. In this article, a new method for detecting the three mutually orthogonal directions of such an environment is presented. Since real-time performance is not necessary for architectural applications, such as building reconstruction, a computationally intensive approach was chosen. However, this enables us to avoid one fundamental error of most other existing techniques. Compared to theirs, our approach is furthermore more rigorous, since all conditions given by three mutually orthogonal directions are identified and utilized. We assume a partly calibrated camera with unknown focal length and unknown principal point. By examining these camera parameters, which can be determined from orthogonal directions, falsely detected vanishing points may be rejected. {\textcopyright} 2002 Elsevier Science B.V. All rights reserved.},
	keywords = {Architecture, Camera calibration, Geometric constraints, Vanishing lines, Vanishing points},
	issn = {02628856},
	doi = {10.1016/S0262-8856(02)00054-9},
	author = {Carsten Rother}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision -- ECCV 2002)},
	volume = {2351},
	year = {2002},
	pages = {93--108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Johansen, P. and Nielsen, M.}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision {\textendash} ECCV 2002)},
	series = {lncs},
	volume = {2351},
	year = {2002},
	pages = {93{\textendash}108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Nielsen, M. and Johansen, P.}
}
@conference {schimpf2002,
	title = {Novel insights into heat transfer across the aqueous boundary layer by infrared imagery and its application to air-sea exchange processes},
	booktitle = {Proceedings of Eurotherm 71 on Visualization, Imaging and Data Analysis In Convective Heat and Mass Transfer},
	year = {2002},
	author = {Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne}
}
@conference {bock2002,
	title = {Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {39--44},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0039},
	author = {E. J. Bock and J. B. Edson and Nelson M. Frew and T. Hara and Horst Hau{\ss}ecker and Bernd J{\"a}hne and W. R. McGilles and S. P. McKenna and R. K. Nelson and Uwe Schimpf and B. M. Uz},
	editor = {M. A. Donelan and W. M. Drennan and R. Wanninkhof and E. S. Saltzman}
}
@techreport {Schellewald-et-al-02a,
	title = {Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views},
	number = {02/2002},
	year = {2002},
	note = {\em Image and Vision Comp.\/, submitted},
	month = {Feb.},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.}
}
@conference {haussecker2002,
	title = {Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	note = {invited},
	pages = {103--108},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0103},
	author = {Horst Hau{\ss}ecker and Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {Rother2002c,
	title = {Projective factorization of planes and cameras in multiple views},
	booktitle = {Proceedings - International Conference on Pattern Recognition},
	volume = {16},
	number = {2},
	year = {2002},
	pages = {737{\textendash}740},
	abstract = {This paper proposes a novel method for the projective reconstruction of planes and cameras from multiple images by factorizing a matrix containing all planar homographies between a reference view and all other views. If some planes are not visible in all views an alternative method is presented which solves the problem in two steps: a) all camera centers are recovered simultaneously b) all planes are reconstructed. The key idea of both methods is to specify one of the planes, which is visible in all views, as the plane at infinity. The methods were applied to synthetic and real data, where VRML models can be created with a small amount of user interaction.},
	issn = {10514651},
	doi = {10.1109/icpr.2002.1048408},
	author = {Carsten Rother and Carlsson, Stefan and Tell, Dennis}
}
@article {spies2002d,
	title = {Range flow estimation.},
	journal = {Computer Vision and Image Understanding},
	volume = {85},
	number = {3},
	year = {2002},
	pages = {209--231},
	abstract = {We discuss the computation of the instantaneous 3D displacement vector fields of deformable surfaces from sequences of range data. We give a novel version of the basic motion constraint equation that can be evaluated directly on the sensor grid. The various forms of the aperture problem encountered are investigated and the derived constraint solutions are solved in a total least squares (TLS) framework. We propose a regularization scheme to compute dense full flow fields from the sparse TLS solutions. The performance of the algorithm is analyzed quantitatively for both synthetic and real data. Finally we apply the method to compute the 3D motion field of living plant leaves.},
	doi = {10.1006/cviu.2002.0970},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron}
}
@conference {brocke2002,
	title = {Statistical Image Sequence Processing for Temporal Change Detection},
	booktitle = {Proceedings of the 24th DAGM Symposium on Pattern Recognition},
	volume = {LNCS 2449},
	year = {2002},
	pages = {215--223},
	abstract = {The aim is to detect sudden temporal changes in image sequences, focusing on bright objects that appear in a few consecutive frames. The proposed algorithm detects such outliers by computing a variance weighted deviation from mean values for every pixel. On this result, an object segmentation based on 2D-moments and its invariants is done frame by frame at a 3-sigma threshold. The algorithm was designed for a wide range of tasks in pre-processing as a tool for detection of fast temporal changes such as suddenly appearing or moving objects. Two different applications on noisy sequence data were realized. The entire system proved to fulfill the requirements of industrial environments for online process control and scientific demands for data rejection.},
	doi = {10.1007/3-540-45783-6_27},
	author = {Martin Brocke}
}
@phdthesis {brocke2002a,
	title = {Statistische Ereignisdetektion in Bildfolgen},
	year = {2002},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {This thesis presents a technique to detect statistically unlikely changes in noisy image sequences. Methods for outlier detection are well known in statistical data analysis. This work applies these techniques to image processing. Appropriate statistical tests are performed to identify the relevant pixels by hypothesis testing. The image sequence is represented as a separate time series for each image pixel with the assumption that at steady state the scene is static. This assumption is commonly made for many applications in surveillance and spatio-temporal measurements. The significance level related to the hypothesis test remains the only free parameter. This allows an even comparison of the algorithm{\textquoteright}s performance across different data sets. A confidence measure is calculated for each binary decision (inlier vs. outlier). Effects such as occlusion or false positives that occur for multiple outliers are controlled by an iterative extension. The algorithm was put into practice twice 1) A complete computer vision system for an industrial laser welding process control was patented. It replaces human visual inspection for mass production and improves robustness over spatially integrating sensors. 2) The algorithm has been applied to infrared image sequences in order to distinguish events caused by two separate processes. Hence heat flux parameter estimation was improved by an outlier detector module at the beginning of the estimation scheme. The technique presented has proven to be an easy-to-configure, modular, and fast tool for event detection in image sequences.},
	url = {http://www.ub.uni-heidelberg.de/archiv/3065/},
	author = {Martin Brocke}
}
@conference {hara2002a,
	title = {Surface wave observations during CoOP experiments and their relations to air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {45--49},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	author = {T. Hara and B. M. Uz and H. Wei and J. B. Edson and Nelson M. Frew and W. R. McGilles and S. P. McKenna and E. J. Bock and Horst Hau{\ss}ecker and Uwe Schimpf},
	editor = {M. A. Donelan and W. M. Drennan and R. Wanninkhof and E. S. Saltzman}
}
@conference {garbe2002c,
	title = {Thermographic measurements in environmental and bio sciences},
	booktitle = {Quantitative Infrared Thermography},
	volume = {6},
	year = {2002},
	pages = {253--259},
	url = {http://qirt.gel.ulaval.ca/archives/qirt2002/papers/033.pdf},
	author = {Christoph S. Garbe and Uwe Schimpf and Ulrich Schurr and Bernd J{\"a}hne}
}
@conference {garbe2002d,
	title = {Thermographic measurements on plant leaves},
	booktitle = {ThermoSense},
	volume = {4710},
	year = {2002},
	pages = {407--416},
	publisher = {SPIE},
	organization = {SPIE},
	abstract = {An important process of plant physiology is the transpiration of plant leaves. It is actively controlled by pores (stomata) in the leaf and the governing feature for vital factors such as gas exchange and water transport affixed to which is the nutrient transport from the root to the shoot. Because of its importance, the transpiration and water transport in leaves have been extensively studied. However, current measurement techniques provide poor spatial and temporal resolution. With the use of one single low-NETD infrared camera important parameter of plant physiology such as transpiration rates, heat capacity per unit area of the leaf and the water flow velocity can be measured to high temporal and special resolution by techniques presented in this paper. The latent heat flux of a plant, which is directly proportional to the transpiration rate, can be measured with passive thermography. Here use is made of the linear relationship between the temperature difference between a non transpiring reference body and the transpiring leaf and the latent heat flux. From active thermography the heat capacity per unit area of the leaf can be measured. This method is termed active, because the response of the leaf temperature to an imposed energy flux is measured. Through the use of digital image processing techniques simultaneous measurements of the velocity field and temporal change of heated water parcels traveling through the leaf can be estimated from thermal image sequences.},
	doi = {10.1117/12.459590},
	author = {Christoph S. Garbe and Ulrich Schurr and Bernd J{\"a}hne},
	editor = {Maldague, X. P. and Rozlosnik, A. E.}
}
@conference {Keuchel-et-al-02b,
	title = {Unsupervised Image Partitioning with Semidefinite Programming},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {141{\textendash}149},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Keuchel, J. and Schn{\"o}rr, C. and Schellewald, C. and Daniel Cremers},
	editor = {van Gool, L.}
}
@conference {raisch2002,
	title = {Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences},
	booktitle = {Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing},
	year = {2002},
	pages = {645--650},
	abstract = {We present a new approach for determining particle fea tures such as length, curvature and hence flexibility in addition to the velocity of moving single actin filaments in noisy fluorescence image sequences. The reliable deter mination of these features is essential for the analysis of the elementary force generation process of single motor molecules including heart and skeletal muscle myosins. First, the image sequence is preprocessed with the 3D structure tensor - where the third dimension is the time t in the image sequence - in order to eliminate noise and to obtain a measure for extracting coherently moving par ticles. Secondly, we determine the contour of the actin filaments with subpixel accuracy using active contours. Thereafter, we readjust a local coordinate system to elim inate inner movements of the active contour. In the fourth step, we estimate the initial position of the active contour in the next frame from the displacement vector field cal culated by the 3D structure tensor. The accuracy of the method is verified on synthetic test data, a prerequisite for the quantitative use of this method on experimentally obtained data. Finally this is demonstrated for fluorescence image sequences of actin filament movement in the in vitro motility assay.},
	author = {Florian Raisch and Hanno Scharr and Norbert Kirchge{\ss}ner and Bernd J{\"a}hne and Rainer H. A. Fink and D. Uttenweiler}
}
@incollection {jaehne2002f,
	title = {Wellenbewegte Wasseroberfl{\"a}che},
	year = {2002},
	pages = {259--262},
	publisher = {Wichmann},
	url = {http://d-nb.info/96618503X},
	author = {Bernd J{\"a}hne and G{\"u}nther Balschbach and D. Fu{\ss}},
	editor = {Thomas Luhmann}
}
@article {Wiehler-et-al-01,
	title = {A 1D analog VLSI implementation for non-linear real-time signal preprocessing},
	journal = {Real{\textendash}Time Imaging},
	volume = {7},
	number = {1},
	year = {2001},
	pages = {127{\textendash}142},
	author = {Wiehler, K. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S. and Grigat, R.{\textendash}R.}
}
@mastersthesis {klar2001,
	title = {3D Particle-Tracking Velocimetry applied to Turbulent Open-Channel Flow over a Gravel Layer},
	year = {2001},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Michael Klar}
}
@conference {spies2001d,
	title = {Accurate optical flow in noisy image sequences},
	booktitle = {ICCV},
	year = {2001},
	pages = {587--592},
	doi = {10.1109/ICCV.2001.937571},
	author = {Hagen Spies and Hanno Scharr}
}
@incollection {jaehne2001a,
	title = {Air-sea interaction: gas exchange},
	year = {2001},
	pages = {122 - 131},
	publisher = {Academic Press},
	doi = {10.1006/rwos.2001.0060},
	author = {Bernd J{\"a}hne},
	editor = {John H. Steele and Steve A. Thorpe and Karl K. Turekian}
}
@phdthesis {spies2001,
	title = {Analysing Dynamic Processes in Range Data Sequences},
	year = {2001},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis a technique to estimate dynamic processes in range data sequences is developed. This includes the instantaneous velocity field (range flow) of a deformable surface and local expansion rates. For the velocity estimation novel differential constraint equations for the depth and intensity data are introduced. These constraint equations are then combined in a general total least squares parameter estimation framework. It turns out that this method can be used for a much broader class of problems where the parameters describing dynamic changes in multi-dimensional data are to be estimated. In addition to a confidence measure does the algorithm yield type measures indicating whether and to what degree there are linear dependencies in the data. Due to these dependencies the full parameter (range flow) set can usually not be computed at all observed data points. To overcome this a special regularisation scheme is developed that makes use of the determined local data structure. Surface expansion rates can then be computed locally from such regularised range flow fields. After an accuracy analysis of the presented algorithms they are applied to study living castor bean leaves. It is shown that this method can be used to investigate the movement and growth of such leaves with high spatial and temporal resolution.},
	url = {http://www.ub.uni-heidelberg.de/archiv/1665},
	author = {Hagen Spies}
}
@techreport {Schellewald-et-al-01b,
	title = {Application of convex optimization techniques to the relational matching of object views},
	year = {2001},
	note = {in preparation},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.}
}
@phdthesis {saracoglu2001,
	title = {Bildanalyse von M-FISH},
	year = {2001},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Multiplex-FISH is a combinatorial staining technique that allows the simultaneous detection and discrimination of all human chromosomes. Using at least five fluorochromes all chromosomes can be uniquely labeled in a combinatorial way and identified by their specific spectral signature. Within this thesis I developed a novel approach for the automated analysis of M-FISH images, yielding robust classification results and allowing the analysis of M-FISH images of different experiments. The method combines spectral information with spatial information to tesselate the image into regions of similar color. Subsequently a cluster analysis in color space and a final classification step are performed to identify the biological targets. This approach is applicable to images of different M-FISH experiments, allowing the analysis of interchromosomal as well as intrachromosomal abnormalities in the genome. It also allows the 3D analysis of M-FISH labeled chromosomes in interphase nuclei.},
	url = {http://www.ub.uni-heidelberg.de/archiv/1805/},
	author = {Saracoglu, K.}
}
@article {haussecker2001,
	title = {Computing optical flow with physical models of brightness variation},
	journal = {IEEE Trans. Pattern Analysis Machine Intelligence},
	volume = {23},
	number = {6},
	year = {2001},
	pages = {661--673},
	abstract = {Although most optical flow techniques presume brightness constancy, it is well-known that this constraint is often violated, producing poor estimates of image motion. This paper describes a generalized formulation of optical flow estimation based on models of brightness variations that are caused by time-dependent physical processes. These include changing surface orientation with respect to a directional illuminant, motion of the illuminant, and physical models of heat transport in infrared images. With these models, we simultaneously estimate the 2D image motion and the relevant physical parameters of the brightness change model. The estimation problem is formulated using total least squares (TLS), with confidence bounds on the parameters. Experiments in four domains, with both synthetic and natural inputs, show how this formulation produces superior estimates of the 2D image motion},
	doi = {10.1109/34.927465},
	author = {Horst Hau{\ss}ecker and Fleet, D. J.}
}
@conference {Keuchel-et-al-01a,
	title = {Convex Relaxations for Binary Image Partitioning and Perceptual Grouping},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {353{\textendash}360},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Keuchel, J. and Schellewald, C. and Daniel Cremers and Schn{\"o}rr, C.},
	editor = {Radig, B. and Florczyk, S.}
}
@conference {Cremers-et-al-01a,
	title = {Diffusion{\textendash}Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework},
	booktitle = {IEEE First Workshop on Variational and Level Set Methods in Computer Vision},
	year = {2001},
	pages = {237{\textendash}244},
	publisher = {IEEE Comp. Soc.},
	organization = {IEEE Comp. Soc.},
	address = {Vancouver, Canada},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@techreport {Heiler-et-al-02,
	title = {Efficient Feature Subset Selection for Support Vector Machines},
	number = {21/2001},
	year = {2001},
	note = {submitted},
	month = {Oct.},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Heiler, M. and Daniel Cremers and Schn{\"o}rr, C.}
}
@conference {Schellewald-et-al-01c,
	title = {Evaluation of Convex Optimization Techniques for the Weighted Graph{\textendash}Matching Problem in Computer Vision},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {361{\textendash}368},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.},
	editor = {Radig, B. and Florczyk, S.}
}
@article {Weickert-et-al-01a,
	title = {Fast parallel algorithms for a broad class of nonlinear variational diffusion approaches},
	journal = {Real{\textendash}Time Imaging},
	volume = {7},
	number = {1},
	year = {2001},
	pages = {31{\textendash}45},
	author = {Weickert, J. and Heers, J. and Schn{\"o}rr, C. and Zuiderveld, K.{\textendash}J. and Scherzer, O. and Stiehl, H.{\textendash}S.}
}
@article {hamprecht_01_fibrillation,
	title = {Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation},
	journal = {Resuscitation},
	volume = {50},
	year = {2001},
	pages = {287-296},
	author = {Fred A. Hamprecht and Achleitner, U. and Krismer, A. C. and Lindner, K. H. and Wenzel, V. and Strohmenger, H.-U. and Thiel, W. and van Gunsteren, W. F.}
}
@incollection {barron2001,
	title = {The fusion of image and range flow},
	year = {2001},
	pages = {174--192},
	publisher = {Springer},
	doi = {10.1007/3-540-45134-X_13},
	author = {John L. Barron and Hagen Spies},
	editor = {R. Klette and Huang, T. and Gimel{\textquoteright}farb, G.}
}
@conference {spies2001b,
	title = {A general framework for image sequence processing},
	booktitle = {Fachtagung Informationstechnik},
	year = {2001},
	pages = {125--132},
	author = {Hagen Spies and Bernd J{\"a}hne}
}
@article {Heers-et-al-01,
	title = {Globally{\textendash}Convergent Iterative Numerical Schemes for Non{\textendash}Linear Variational Image Smoothing and Segmentation on a Multi{\textendash}Processor Machine},
	journal = {IEEE Trans. Image Proc.},
	volume = {10},
	number = {6},
	year = {2001},
	pages = {852{\textendash}864},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@phdthesis {wenig2001,
	title = {GOME-Spurenstoffauswertung und Bildverarbeitung},
	year = {2001},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Mark Wenig}
}
@booklet {restle_01_horizontal,
	title = {Horizontal scannendes Wei\DFlicht-Interferometer},
	year = {2001},
	publisher = {Robert Bosch GmbH},
	author = {J. Restle}
}
@conference {Schellewald-et-al-01a,
	title = {Image labeling and grouping by minimizing linear functionals over cones},
	booktitle = {Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR{\textquoteright}01)},
	series = {Lect. Notes Comp. Science},
	volume = {2134},
	year = {2001},
	month = {Sept. 3{\textendash}5},
	pages = {267{\textendash}282},
	publisher = {Springer},
	organization = {Springer},
	address = {INRIA, Sophia Antipolis, France},
	author = {Schellewald, C. and Keuchel, J. and Schn{\"o}rr, C.},
	editor = {Figueiredo, M. and Zerubia, J. and Jain, A.K.}
}
@conference {wenig2001a,
	title = {Image sequence analysis of satellite NO$_2$ concnetration maps},
	booktitle = {Pattern Recognition, 23rd DAGM Symposium Munich},
	volume = {2191},
	year = {2001},
	pages = {223--230},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Here we describe a new method for the quantification of a global NOx budget from image sequences of the GOME instrument on the ERS-2. The focus of this paper is on image processing techniques to separate tropospheric and stratospheric NO2-colums using normalized convolution with infinite impulse response filters (IIR) to interpolate gaps in the data and average the cloud coverage of the earth, the estimation the NO2 life time and the determination of regional NOx source strengths.},
	doi = {10.1007/3-540-45404-7_30},
	author = {Mark Wenig and Carsten Leue and S. Kraus and T. Wagner and Ulrich Platt and Bernd J{\"a}hne},
	editor = {B. Radig and S. Florczyk}
}
@conference {Rother2001,
	title = {Linear multi view reconstruction and camera recovery},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {1},
	number = {3},
	year = {2001},
	pages = {42{\textendash}49},
	abstract = {This paper presents a linear algorithm for the simultaneous computation of 3D points and camera positions from multiple perspective views, based on having four points on a reference plane visible in all views. The reconstruction and camera recovery is achieved, in a single step, by finding the null-space of a matrix using singular value decomposition. Unlike factorization algorithms, the presented algorithm does not require all points to be visible in all views. By simultaneously reconstructing points and views the numerically stabilizing effect of having wide spread cameras with large mutual baselines is exploited. Experimental results are presented for both finite and infinite reference planes. An especially interesting application of this method is the reconstruction of architectural scenes with the reference plane taken as the plane at infinity which is visible via three orthogonal vanishing points. This is demonstrated by reconstructing the outside and inside (courtyard) of a building on the basis of 35 views in one single SVD.},
	keywords = {Critical configurations, Duality, Missing data, Multiple views, Planar parallax, Projective reconstruction, Reference plane, Structure from motion},
	doi = {10.1109/iccv.2001.937497},
	author = {Carsten Rother and Carlsson, Stefan}
}
@phdthesis {garbe2001,
	title = {Measuring Heat Exchange Processes at the Air--Water Interface from Thermographic Image Sequence Analysis},
	year = {2001},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis a novel technique for estimating heat transfer at the free air water interface is presented. For the first time spatially resolved heat flux and transfer velocity measurements are available with a high temporal resolution. The statistical properties of the transfer processes are deduced and the parameters characterizing them established. Based on this analysis a second way to estimate the heat flux is presented. These techniques are based on thermal image sequences on which a motion analysis is performed. The motion is modelled in a general parameterization and physically motivated intensity changes can be incorporated by means of linear partial differential equations. In the presented framework the parameters of physical processes described by such differential equations can be estimated in multidimensional data. These general equations of motion are solved simultaneously by a method of least squares. To do so algorithms are developed that allow for unbiased estimates taking the structure of the noise into account. Methods from robust statistics are employed to correctly solve the estimation problem regardless if the data is corrupted by outliers. The relevance of the developed techniques to other scientific applications is shown. In an accuracy analysis confidence bounds of the proposed algorithms are established and limitations revealed. Following an examination under controlled laboratory conditions in the Heidelberg Aeolotron, the techniques are successfully applied at an international field campaign.},
	url = {http://www.ub.uni-heidelberg.de/archiv/1875},
	author = {Christoph S. Garbe}
}
@article {wagner2001a,
	title = {Monitoring of the stratospheric chlorine activation by Global Ozone Monitoring Experiment (GOME) OClO measurements in the austral and boreal winters 1995 through 1999},
	journal = {J. Geophys. Res.},
	volume = {106},
	number = {D6},
	year = {2001},
	pages = {4971-4986},
	abstract = {Measurements of OClO total column amounts by means of the Global Ozone Monitoring Experiment (GOME) instrument conducted in the austral and boreal winter stratospheres from 1995 through 1999 are presented, GOME is a four-channel UV/visible spectrometer (240-790 nm) deployed on the polar orbiting European ERS-2 satellite since April 1995. Previous studies have shown that the observations of OClO, the symmetric chlorine dioxide formed in a side channel of the reaction of BrO + ClO, can serve as an indicator for a stratospheric chlorine activation. GOME{\textquoteright}s 3-day coverage of the global atmosphere allows us to infer the first global data set of OClO, and to study continuous time series of its occurrence in both winter stratospheres. It is found that, while OClO regularly occurs over Antarctica in similar amounts and seasonal timing during the different winters, its occurrence is much more variable in the Arctic winter stratosphere, primarily because of the larger dynamic activity that result in warmer temperatures there. About 40\% higher OClO column amounts are found in the Antarctic polar stratosphere than in its northern counterpart, a further indication for a significantly more efficient chlorine activation in the Antarctic than the Arctic late winter and spring stratosphere.},
	doi = {10.1029/2000JD900458},
	author = {T. Wagner and Carsten Leue and Klaus Pfeilsticker and Ulrich Platt}
}
@booklet {Andrew2001,
	title = {Multiple View Geometry in Computer Vision},
	howpublished = {Kybernetes},
	volume = {30},
	number = {9-10},
	year = {2001},
	pages = {1333{\textendash}1341},
	abstract = {2nd ed. A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering th. Introduction-a tour of multiple view geometry {\textendash} Projective geometry and transformations of 2D {\textendash} Projective geometry and transformations of 3D {\textendash} Estimation-2D projective transformations {\textendash} Algorithm evaluation and error analysis {\textendash} Camera models {\textendash} Computation of the camera matrix P {\textendash} More single view geometry {\textendash} Epipolar geometry and the fundamental matrix {\textendash} 3D reconstruction of cameras and structure {\textendash} Computation of the fundamental matrix F {\textendash} Structure computation {\textendash} Scene planes and homographies {\textendash} Affine epipolar geometry {\textendash} The trifocal tensor {\textendash} Computation of the trifocal tensor T {\textendash} N-Linearities and multiple view tensors {\textendash} N-View computational methods {\textendash} Auto-calibration {\textendash} Duality {\textendash} Cheirality {\textendash} Degenerate configurations.},
	keywords = {Artificial intelligence, Computer, Cybernetics, Machine vision, Publication, Robotics},
	isbn = {0521540518},
	issn = {0368492X},
	doi = {10.1016/S0143-8166(01)00145-2},
	author = {Andrew, Alex M.}
}
@conference {Cremers-et-al-01b,
	title = {Nonlinear Shape Statistics via Kernel Spaces},
	booktitle = {Mustererkennung 2001},
	volume = {2191},
	year = {2001},
	pages = {269--276},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {B. Radig and S. Florczyk}
}
@conference {Cremers-et-al-01b,
	title = {Nonlinear Shape Statistics via Kernel Spaces},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {269{\textendash}276},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Radig, B. and Florczyk, S.}
}
@mastersthesis {schulzke2001,
	title = {Numerische Simulation von elementaren Kalziumfreisetzungsereignissen und photolytische Ca^2+-Freisetzung aus K{\"a}figmolek{\"u}len mittels Picosekundenlaser},
	year = {2001},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Schulzke, Erich}
}
@mastersthesis {kuesters2001,
	title = {Objektverfolgung und Bildfusion zur Untersuchung wachsender Pflanzenwurzeln},
	year = {2001},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {K{\"u}sters, R.}
}
@incollection {huang2001,
	title = {Ocean wave spectra and integral properties},
	year = {2001},
	pages = {82--123},
	publisher = {Cambridge University Press},
	doi = {10.1017/CBO9780511552076.005},
	author = {N. E. Huang and Y. Toba and Z. Shen and J. Klinke and Bernd J{\"a}hne and M. L. Banner},
	editor = {I. S. F. Jones and Y Toba}
}
@article {hamprecht_01_preliminary,
	title = {Preliminary results on the prediction of countershock success with fibrillation power},
	journal = {Resuscitation},
	volume = {50},
	year = {2001},
	pages = {297-299},
	author = {Fred A. Hamprecht and Jost, D. and R{\"u}ttimann, M. and Calamai, F. and Kowalski, J. J.}
}
@article {leue2001,
	title = {Quantitative analysis of NO$_x$ emissions from Global Ozone Monitoring Experiment satellite image sequences},
	journal = {J. Geophys. Res.},
	volume = {106},
	number = {D6},
	year = {2001},
	pages = {5493--5505},
	abstract = {Nitric oxides (NOx) play a very important role among the anthropogenic trace gases. They affect human health and have an impact on ozone chemistry and climatic change. Here we describe a new method for the quantification of the global NOx budget from image sequences of the Global Ozone Monitoring Experiment (GOME) spectrometer on board the ERS 2 satellite. In contrast to measurements using ground-based or balloon- or aircraft-borne sensors, this instrument provides, for the first time, the possibility of observing global maps of NO2 column densities. As part of this work, algorithms were developed to analyze GOME spectra numerically and to extract physically relevant parameters from the resulting maps using image-processing techniques. Column densities of NO x were determined using differential optical absorption spectroscopy (DOAS) [Platt, 1994]. By the combined use of an efficient B-spline interpolation and an inversion algorithm based on Householder transformations, the numerical algorithms accelerate the retrievals by a factor of 26 with respect to previous methods. Moreover, techniques are presented for separating tropospheric and stratospheric NO2 colums and estimating the lifetime of NO2 in the troposphere. This allows determination of regional NOx source strengths. Independent of traditional methods, a global source strength of (43 {\textpm} 20) Tg N yr-1 is estimated. The accuracy of this method is comparable to that of established statistical approaches.},
	doi = {10.1029/2000JD900572},
	author = {Carsten Leue and Mark Wenig and T. Wagner and Klimm, O. and Ulrich Platt and Bernd J{\"a}hne}
}
@conference {garbe2001b,
	title = {Reliable estimates of the sea surface heat flux from image sequences},
	booktitle = {Proceedings of the 23th DAGM Symposium on Pattern Recognition, M{\"u}nchen},
	number = {2191},
	year = {2001},
	pages = {194--201},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We present a new technique for estimating the sea surface heat flux from infrared image sequences. Based on solving an extension to the standard brightness change constraint equation in a total least squares (TLS) sense, the total derivative of the sea surface temperature with respect to time is obtained. Due to inevitable reflexes in field data the TLS framework was further extended to a robust estimation based on a Least Median of Squares Orthogonal Distances (LMSOD) scheme. From this it is possible for the first time to compute accurate heat flux densities to a high temporal and spatial resolution. Results obtained at the Heidelberg Aeolotron showed excellent agreement to ground truth and field data was obtained on the GasExII experiment.},
	doi = {10.1007/3-540-45404-7_26},
	author = {Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {B. Radig}
}
@conference {kirchgessner2001,
	title = {Root Growth Analysis in Physiological Coordinates},
	booktitle = {International Conference on Image Analysis and Processing (ICIAP{\textquoteright}01)},
	year = {2001},
	author = {Norbert Kirchge{\ss}ner and Hagen Spies and Hanno Scharr and Ulrich Schurr}
}
@conference {kirchgessner2001a,
	title = {Root Growth Measurements in Object Coordinates},
	booktitle = {Proceedings of the 23th DAGM Symposium on Pattern Recognition},
	year = {2001},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/3-540-45404-7_31},
	author = {Norbert Kirchge{\ss}ner and Hagen Spies and Hanno Scharr and Ulrich Schurr}
}
@conference {jaehne2001c,
	title = {Simulation der Austauschprozesse an der Ozeanoberfl{\"a}che im Labor: das neue Heidelberger Aeolotron},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Hamburg, 26.-30.03.2001},
	year = {2001},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	abstract = {Die Mechanismen der kleinskaligen Austauschprozesse an der Meeresoberfl{\"a}che sind trotz ihrer Bedeutung f{\"u}r die globalen Energie- und Stoffkreisl{\"a}ufe bis heute weitgehend unverstanden. Erste Ergebnisse von Messungen am neuen Heidelberger Aeolotron, einem gro{\ss}en ringf{\"o}rmiger Wind/Wellen-Kanal, werden vorgestellt. Diese Versuchseinrichtung mit 10 m Durchmesser bietet neue experimentelle M{\"o}glichkeiten zur Untersuchung des W{\"a}rme- und Gasaustausches, der winderzeugten Wellen, der Mikroturbulenz an der Ozeanoberfl{\"a}che und Oberfl{\"a}chenfilmen. Es k{\"o}nnen Windgeschwindigkeiten bis zu 12 m/s, Luft- und Wassertemperaturen zwischen 5 und 35 Grad Celsius und W{\"a}rmefl{\"u}sse bis 1 kW/m^2 simuliert werden. Vorgestellt werden neue Methoden, mit denen sich aus W{\"a}rmebildsequenzen direkt der Nettow{\"a}rmefluss an der Wasseroberfl{\"a}che, die W{\"a}rmeaustauschrate und die Gasaustauschrate bestimmen lassen. Die ersten Messungen zeigen auch die Bedeutung von Oberfl{\"a}chenerneuerungsprozessen in der wasserseitigen Grenzschicht f{\"u}r den Stoffaustausch.},
	author = {Bernd J{\"a}hne}
}
@article {wagner2001,
	title = {Spatial and temporal distribution of enhanced boundary layer BrO concentrations measured by the GOME instrument aboard ERS-2},
	journal = {J. Geophys. Res.},
	volume = {106},
	number = {D6},
	year = {2001},
	pages = {24225--24235},
	abstract = {The temporal and spatial distribution of enhanced boundary layer BrO concentrations in both hemispheres during 1997 is presented using observations of the Global Ozone Monitoring Experiment (GOME) on board the European research satellite ERS-2. BrO concentrations (up to 50 ppt) are the major cause for catalytic boundary layer ozone destruction typically observed during polar spring in both hemispheres. While autocatalytic mechanisms are most probably responsible for the release of the observed high concentrations of reactive bromine compounds, uncertainties still remain with respect to the primary release mechanisms and whether the autocatalytic reactions are taking place on sea-salt aerosol or the surface of sea ice. We find that enhanced boundary layer BrO concentrations correlate very well with ozone depletion events. Enhanced BrO concentrations are always found over or near to areas of frozen salt water (above sea ice or also above the frozen surface of the Caspian Sea) consistent with the assumption that such conditions are a prerequisite for the autocatalytic release of high BrO concentrations to the troposphere.},
	doi = {10.1029/2000JD000201},
	author = {T. Wagner and Carsten Leue and Mark Wenig and Klaus Pfeilsticker and Ulrich Platt}
}
@booklet {Schnoerr-ME,
	title = {Statistische Mustererkennung},
	year = {2001},
	note = {Unterlagen zur Vorlesung},
	author = {C. Schn{\"o}rr}
}
@article {hamprecht_01_strategy,
	title = {A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization},
	journal = {Journal of Chemical Physics},
	volume = {114},
	year = {2001},
	pages = {2079-2089},
	author = {Fred A. Hamprecht and Peter, C. and Daura, X. and Thiel, W. and van Gunsteren, W. F.}
}
@mastersthesis {stybalkowski2001,
	title = {Str{\"o}mungsmessung in Sedimentporen mittel 3D Particle Tracking Velocimetry},
	year = {2001},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {P. Stybalkowski}
}
@conference {spies2001c,
	title = {Surface expansion from range data sequences},
	booktitle = {Proceedings of the 23th DAGM Symposium on Pattern Recognition},
	year = {2001},
	pages = {163--169},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We compute the range flow field, i.e. the 3D velocity field, of a moving deformable surface from a sequence of range data. This is done in a differential framework for which we derive a new constraint equation that can be evaluated directly on the sensor data grid. It is shown how 3D structure and intensity information can be used together in the estimation process. We then introduce a method to compute surface expansion rates from the now available velocity field. The accuracy of the proposed scheme is assessed on a synthetic data set. Finally we apply the algorithm to study 3D leaf motion and growth on a real range sequence.},
	doi = {10.1007/3-540-45404-7_22},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron}
}
@article {Weickert-Schnoerr-01b,
	title = {A Theoretical Framework for Convex Regularizers in PDE{\textendash}Based Computation of Image Motion},
	journal = {Int. J. Computer Vision},
	volume = {45},
	number = {3},
	year = {2001},
	pages = {245{\textendash}264},
	author = {Weickert, J. and Schn{\"o}rr, C.}
}
@incollection {jaehne2001b,
	title = {Thermographie in den Umwelt- und Biowissenschaften},
	year = {2001},
	publisher = {Deutsche Gesellschaft f{\"u}r zerst{\"o}rungsfreie Pr{\"u}fung e.V.},
	author = {Bernd J{\"a}hne and Christoph S. Garbe and Uwe Schimpf and Ulrich Schurr}
}
@article {Weickert-Schnoerr-01a,
	title = {Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint},
	journal = {J. Math. Imaging and Vision},
	volume = {14},
	number = {3},
	year = {2001},
	pages = {245{\textendash}255},
	author = {Weickert, J. and Schn{\"o}rr, C.}
}
@conference {klinke2001,
	title = {Wavenumber Spectra of Short Wind Waves: Laboratory Measurements and Interpretation},
	booktitle = {IGARSS {\textquoteright}01, Geoscience and Remote Sensing Symposium, Sydney, NSW, Australia},
	volume = {2},
	year = {2001},
	pages = {965-967},
	abstract = {Short wind-generated capillary-gravity waves were measured with a refraction-based optical technique in different wind/wave tanks. Directional wave number spectra were determined from the wave slope images for a wide range of wind speeds and fetches for the different geometries of the laboratory facilities. The shape of the wavenumber spectra and their dependence on die friction velocity and fetch were analyzed. We found that the parasitic capillaries dominate the capillary range of the spectra. The interpretation of the results is given by a physical model of the short wind-wave spectrum that takes the generation of parasitic capillaries under laboratory conditions into account},
	doi = {10.1109/IGARSS.2001.976695},
	author = {J. Klinke and Kudryavtsev, V. N. and Makin, V. K. and Bernd J{\"a}hne}
}
@phdthesis {engelmann2000a,
	title = {3D-Flow Measurement by Stereo Imaging},
	year = {2000},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {A new method to record three-dimensional liquid flow fields by using {\textquoteleft}Particle Tracking Velocimetry{\textquoteright} is presented. It is based on a two-dimensional Particle Tracking Velocimetry method. It was extended to the third space dimension in order to include the complete physical space. This procedure allows to determine the Lagrange-flow field and to calculate from it the Euler-velocity flow field obtained from many other flow measuring techniques. A calibration method was developed for the wind-wave-flume which allows a high resolution in space. The stereo camera setup and the experimental setup were optimized for the liquid flow measurements. For the first time a liquid prism and a Scheimpflug-camera geometry was used. Numerical calculations using the finite element method demonstrate the complexity of the problem of dealing with free surfaces with wind-induced shear forces as a boundary condition. They show clearly that experimental studies are indispensable for describing phenomena such as {\textquoteleft}bursts{\textquoteright} (descending of liquid elements from close to the surface into deeper layers). Flow measurements were performed in a newly constructed wind-wave-flume (AEOLOTRON) and in a smaller predecessor by using the newly developed imaging methods. In this way the flow fields of wind driven water waves could be characterized by the velocity field and the {\textquoteleft}turbulence{\textquoteright} conditions.},
	url = {http://www.ub.uni-heidelberg.de/archiv/1070},
	author = {D. Engelmann}
}
@conference {kirchgessner2000,
	title = {3D-Modellierung von Pflan-zen-bl{\"a}t-tern mittels eines Depth-from-Motion Verfahrens},
	booktitle = {Proceedings of the 22th DAGM Symposium on Pattern Recognition},
	year = {2000},
	pages = {381--388},
	doi = {10.1007/978-3-642-59802-9_48},
	author = {Norbert Kirchge{\ss}ner and Hanno Scharr and Ulrich Schurr}
}
@incollection {spies2000e,
	title = {Analyzing particle movements at soil interfaces},
	year = {2000},
	pages = {648--649},
	publisher = {Academic Press},
	chapter = {A20},
	author = {Hagen Spies and Hermann Gr{\"o}ning and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {geissler2000,
	title = {Analyzing size spectra of oceanic air bubbles},
	year = {2000},
	pages = {634--635},
	publisher = {Academic Press},
	chapter = {A13},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@conference {scharr2000a,
	title = {An anisotropic diffusion algorithm with optimized rotation invariance},
	booktitle = {Proceedings of the 22th DAGM Symposium on Pattern Recognition},
	year = {2000},
	pages = {460--467},
	doi = {10.1007/978-3-642-59802-9_58},
	author = {Hanno Scharr and Weickert, J.}
}
@mastersthesis {prokop2000,
	title = {Bestimmung Physiologischer Parameter von Pflanzen mittels Digitaler Bildverarbeitung},
	year = {2000},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Prokop, M.}
}
@incollection {wenig2000,
	title = {Cloud classification analyzing image sequences},
	year = {2000},
	pages = {652--653},
	publisher = {Academic Press},
	chapter = {A22},
	author = {Mark Wenig and Carsten Leue and Ulrich Platt and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@article {marxen2000,
	title = {Comparison of Gaussian particle center estimators and the achievable measurement density for particle tracking velocimetry},
	journal = {Exp. Fluids},
	volume = {29},
	year = {2000},
	pages = {145-153},
	abstract = {A series of numerical simulations were conducted to investigate the performance of two particle center estimation algorithms for Particle Tracking Velocimetry: a simple three-point Gaussian estimator and a least-square Gaussian. The smallest position error for images with reasonable noise levels was found to be approximately 0.03 pixels for both estimators using particles with diameters of 4 pixels. As both estimators performed equally well, use of the simple three-point Gaussian algorithm is recommended because it executes 100 times faster than the least-square algorithm. The maximum achievable measurement density and accuracy for the three-point Gaussian estimator were determined with a numerical simulation of an Oseen vortex. Uncertainty measures have been introduced to filter out unreliable displacement measurements. It was found that 4 to 5 velocity vectors could be obtained within a 32{\texttimes}32 pixel area with an average displacement error of 0.1 pixels. This doubles the spatial resolution of conventional cross-correlation based Particle Image Velocimetry at comparable accuracy.},
	doi = {10.1007/s003489900085},
	author = {Michael Marxen and Sullivan, P. E. and Loewen, M. R. and Bernd J{\"a}hne}
}
@conference {Wulf-et-al-00,
	title = {On the computational r{\^o}le of the primate retina},
	booktitle = {Proc. 2nd ICSC Symposium on Neural Computation (NC 2000)},
	year = {2000},
	month = {May, 23{\textendash}26},
	address = {Berlin, Germany},
	author = {Wulf, M. and Stiehl, H.S. and Schn{\"o}rr, C.},
	editor = {Bothe, H. and Rojas, R.}
}
@book {jaehne2000c,
	title = {Computer Vision and Applications: A Guide for Students and Practitioners},
	year = {2000},
	pages = {679},
	publisher = {Academic Press},
	organization = {Academic Press},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@conference {spies2000b,
	title = {Dense range flow from depth and intensity data},
	booktitle = {ICPR},
	year = {2000},
	pages = {131--134},
	doi = {10.1109/ICPR.2000.905290},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron}
}
@conference {spies2000c,
	title = {Dense structure estimation via regularised optical flow},
	booktitle = {VMV 2000},
	year = {2000},
	pages = {57--64},
	publisher = {Aka GmbH, Berlin},
	organization = {Aka GmbH, Berlin},
	author = {Hagen Spies and Norbert Kirchge{\ss}ner and Hanno Scharr and Bernd J{\"a}hne},
	editor = {Girod, G. and Greiner, G. and Hans-Peter Seidel and H. Niemann}
}
@conference {Cremers-et-al-00a,
	title = {Diffusion Snakes Using Statistical Shape Knowledge},
	booktitle = {Proc. Algebraic Frames for the Perception-Action Cycle},
	series = {lncs},
	volume = {1888},
	year = {2000},
	month = {Sept. 10-11},
	pages = {164{\textendash}174},
	publisher = {Springer},
	organization = {Springer},
	address = {Kiel},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim and Schellewald, Christian},
	editor = {Sommer, G. and Zeevi, Y.}
}
@mastersthesis {klimm2000,
	title = {Einfluss von Bodenalbedo und Wolkenbedeckung auf satellitengest{\"u}tzte O$_4$-Spurenstoffmessungen},
	year = {2000},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. \ Heidelberg},
	author = {Klimm, Oliver}
}
@mastersthesis {rudigier2000,
	title = {Entwicklung eines automatisierten Bildverarbeitungssystems zur Auswertung unregelm{\"a}{\ss}iger Bildpunkte auf DNA-Chips},
	year = {2000},
	school = {University of Heidelberg},
	author = {Rudigier, Eveline}
}
@mastersthesis {baeumler2000,
	title = {Entwicklung eines Scheimpflug-Stereo-Systems zur Str{\"o}mungsvisualisierung in Grenzschichten},
	year = {2000},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {B{\"a}umler, Hans Peter}
}
@mastersthesis {gebhard2000,
	title = {Entwicklung eines Verfahrens f{\"u}r dreidimensionales Particle-Tracking in der Bildfolgenanalyse},
	year = {2000},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	author = {Matthias Gebhard}
}
@mastersthesis {gleisinger2000,
	title = {Entwurf und Implementation eines objektorientierten Inspektors f{\"u}r multidimensionale wissenschaftliche Daten},
	year = {2000},
	school = {Lehrgebiet praktische Informatik, Fachbereich Informatik Fernuniversit{\"a}t Hagen},
	author = {Gleisinger, Reinhold}
}
@conference {scharr2000c,
	title = {Flame front analysis in turbulent combustion},
	booktitle = {Mustererkennung 2000},
	year = {2000},
	pages = {325--332},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-59802-9_41},
	author = {Hanno Scharr and Bernd J{\"a}hne and S. B{\"o}ckle and J. Kazenwadel and T. Kunzelmann and C. Schulz and N. Kr{\"u}ger},
	editor = {G. Sommer and Ch. Perwasser}
}
@incollection {eichkorn2000,
	title = {Fluorescence imaging of air-water gas exchange},
	year = {2000},
	pages = {644-645},
	publisher = {Academic Press},
	chapter = {A18},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {hausecker2000d,
	title = {Fuzzy image processing},
	year = {2000},
	pages = {541--576},
	publisher = {Academic Press},
	chapter = {16},
	author = {Horst Hau{\ss}ecker and Hamid R. Tizhoosh and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@conference {klinke2000,
	title = {Generation of short waves by wave-current interaction},
	booktitle = {Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International},
	year = {2000},
	pages = {1084--1086},
	doi = {10.1109/IGARSS.2000.858029},
	author = {J. Klinke and S. R. Long}
}
@incollection {geissler2000b,
	title = {Imaging optics},
	year = {2000},
	pages = {53--84},
	publisher = {Academic Press},
	chapter = {3},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@conference {schimpf2000a,
	title = {On the investigations of micro turbulence at the water surface using infrared imaging},
	booktitle = {IARGSS 2000},
	year = {2000},
	doi = {10.1109/IGARSS.2000.858091},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@proceedings {Schnoerr-00,
	title = {K{\"u}nstliche Intelligenz: Special Issue on Medical Computer Vision},
	volume = {3},
	year = {2000},
	month = {July},
	editor = {Schn{\"o}rr, C.}
}
@conference {Cremers-et-al-00b,
	title = {Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes},
	booktitle = {3rd Workshop on Dynamic Perception},
	series = {Proc. in Artificial Intelligence},
	volume = {9},
	year = {2000},
	pages = {117{\textendash}122},
	publisher = {Akad. Verlagsges.},
	organization = {Akad. Verlagsges.},
	address = {Berlin, Germany},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim and Schellewald, Christian},
	editor = {Baratoff, G. and Neumann, H.}
}
@conference {spies2000,
	title = {Material transport and structure changes at soil-water interfaces},
	booktitle = {Filters and Drainage in Geotechnical and Environmental Engineering},
	year = {2000},
	pages = {91--97},
	author = {Hagen Spies and Horst Hau{\ss}ecker and H.-J. K{\"o}hler}
}
@mastersthesis {hilsenstein2000,
	title = {Methoden der Bildfolgenanalyse zur Untersuchung nichtlinearer Wasseroberfl{\"a}chenwellen},
	year = {2000},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. \ Heidelberg},
	author = {Volker Hilsenstein}
}
@incollection {geissler2000a,
	title = {Monitoring living biomass with in situ microscopy},
	year = {2000},
	pages = {632--633},
	publisher = {Academic Press},
	chapter = {A12},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {haussecker2000c,
	title = {Motion},
	year = {2000},
	pages = {347--395},
	publisher = {Academic Press},
	chapter = {10},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@article {uttenweiler2000,
	title = {Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.},
	journal = {Biophys J},
	volume = {78},
	number = {5},
	year = {2000},
	pages = {2709--2715},
	publisher = {Institut f{\"u}r Physiologie und Pathophysiologie, Ruprecht-Karls-Universit{\"a}t Heidelberg, 69120 Heidelberg, Germany. uttenweiler@urz.uni-heidelberg.de},
	abstract = {We present a novel approach of automatically measuring motion in series of microscopic fluorescence images. As a differential method, the three-dimensional structure tensor technique is used to calculate the displacement vector field for every image of the sequence, from which the velocities are subsequently derived. We have used this method for the analysis of the movement of single actin filaments in the in vitro motility assay, where fluorescently labeled actin filaments move over a myosin decorated surface. With its fast implementation and subpixel accuracy, this approach is, in general, very valuable for analyzing dynamic processes by image sequence analysis.},
	doi = {10.1016/S0006-3495(00)76815-9},
	author = {D. Uttenweiler and C. Veigel and R. Steubing and Carlo G{\"o}tz and Sven Mann and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Rainer H. A. Fink}
}
@incollection {jaehne2000d,
	title = {Neighborhood operators},
	year = {2000},
	pages = {273--345},
	publisher = {Academic Press},
	chapter = {9},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {leue2000,
	title = {NOX Emissions Retrieved from Satellite Images},
	year = {2000},
	pages = {654--655},
	publisher = {Academic Press},
	chapter = {A23},
	author = {Carsten Leue and Mark Wenig and Ulrich Platt and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@conference {barron2000,
	title = {Optical and range flow to measure 3D plant growth and motion},
	booktitle = {Image Vision Computing New Zealand},
	year = {2000},
	pages = {68--77},
	author = {John L. Barron and Liptay, A. and Hagen Spies}
}
@incollection {schmundt2000,
	title = {Optical leaf growth analysis},
	year = {2000},
	pages = {640-641},
	publisher = {Academic Press},
	chapter = {A16},
	author = {Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@techreport {scharr2000b,
	title = {Optimal separable interpolation of color images with bayer array format},
	year = {2000},
	institution = {DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/12680/},
	author = {Hanno Scharr}
}
@phdthesis {scharr2000,
	title = {Optimale Operatoren in der Digitalen Bildverarbeitung},
	year = {2000},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {A novel method for optimal choice of filter operators is presented. Single filters as well as filter families with linear or nonlinear optimal criteria can be addressed by different weighted norms in wave number domain. Coefficients of filters with arbitrary support can be optimized in floating point or fixed point accuracy. Numerous examples are presented to illustrate optimization of filters e.g by isotropy, rotation invariance or accuracy of absolute value, and each is followed by discussions of results. Errors are decreased by up to 3 orders of magnitude compared to standard parameter choices. In an investigation of displacements calculated by the well known structure tensor approach with optimal filters the results are improved in two respects. Firstly, estimation errors are decreased by approximately two orders of magnitude and secondly, they are more robust with respect to noise. The greatly improved performance is demonstrated by a tracking application. A novel explicit discretization for anisotropic diffusion filtering using optimal filters is introduced. Numerical errors of this scheme obtained by comparison with a novel analytical solution are about 1.5 to 2.5 orders of magnitude smaller than the errors introduced by the best comparable standard method. The new method clearly outperforms the latter in a reconstruction test. Due to the higher stability with respect to larger time steps, the new method is 3 to 4 times faster than other explicit schemes.},
	url = {http://www.ub.uni-heidelberg.de/archiv/962},
	author = {Hanno Scharr}
}
@incollection {engelmann2000b,
	title = {Particle-tracking velocimetry},
	year = {2000},
	pages = {646-647},
	publisher = {Academic Press},
	chapter = {A19},
	author = {D. Engelmann and M. St{\"o}hr and Christoph S. Garbe and Frank Hering and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@article {Weickert-Schnoerr-00a,
	title = {PDE{\textendash}Based Preprocessing of Medical Images},
	journal = {K{\"u}nstliche Intelligenz},
	volume = {3},
	year = {2000},
	month = {July},
	pages = {5{\textendash}10},
	author = {Weickert, J. and Schn{\"o}rr, C.}
}
@incollection {jaehne2000a,
	title = {Performance characteristics of low-level motion estimation in spatiotemporal images},
	year = {2000},
	note = {invited, Workshop Schloss Dagstuhl, March 16-20, 1998},
	pages = {pp. 139-152},
	publisher = {Kluwer, Dordrecht},
	doi = {10.1007/978-94-015-9538-4_12},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {R. Klette and H. S. Stiehl and K. Vincken and M. Viergever}
}
@conference {barron2000a,
	title = {Quantitative regularized range flow},
	booktitle = {Vision Interface},
	year = {2000},
	pages = {203--210},
	author = {John L. Barron and Hagen Spies}
}
@incollection {haussecker2000a,
	title = {Radiation and illumination},
	year = {2000},
	pages = {11--52},
	publisher = {Academic Press},
	chapter = {2},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@incollection {haussecker2000b,
	title = {Radiometry of imaging},
	year = {2000},
	pages = {85--109},
	publisher = {Academic Press},
	chapter = {4},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@conference {spies2000a,
	title = {Regularised range flow},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {2},
	year = {2000},
	pages = {785--799},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how this algorithm can be used to detect motion discontinuities. This can can be used to segment the data into independently moving regions. The different types of aperture problem encountered are discussed. Our regularisation scheme then takes the various types of flow vectors and combines them into a smooth flow field within the previously segmented regions. A quantitative performance analysis is presented on both synthetic and real data. The proposed algorithm is also applied to range data from castor oil plants obtained with the Biris laser range sensor to study the 3-D motion of plant leaves.},
	doi = {10.1007/3-540-45053-X_50},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron},
	editor = {Vernon, D.}
}
@incollection {jaehne2000b,
	title = {Representation of multidimensional signals},
	year = {2000},
	pages = {211--272},
	publisher = {Academic Press},
	chapter = {8},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {schimpf2000b,
	title = {Small-scale air-sea interaction with thermography},
	year = {2000},
	pages = {638--639},
	publisher = {Academic Press},
	chapter = {A15},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {kuemmerlen2000,
	title = {Thermography to measure water relations of plant leaves},
	year = {2000},
	pages = {636--637},
	publisher = {Academic Press},
	chapter = {A14},
	author = {Bernd K{\"u}mmerlen and Stefan Dauwe and Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {geissler2000c,
	title = {Three-dimensional imaging algorithms},
	year = {2000},
	pages = {397--438},
	publisher = {Academic Press},
	chapter = {11},
	author = {Peter Gei{\ss}ler and Tobias Dierig and Hanspeter A. Mallot and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@phdthesis {schimpf2000,
	title = {Untersuchung des Gasaustausches und der Mikroturbulenz an der Meeresoberfl{\"a}che mittels Thermographie},
	year = {2000},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/545},
	author = {Uwe Schimpf}
}
@phdthesis {balschbach2000,
	title = {Untersuchungen statistischer und geometrischer Eigenschaften von Windwellen und ihrer Wechselwirkung mit der wasserseitigen Grenzschicht},
	year = {2000},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Using color image processing a refraction based technique for retrieving the slope of a water surface covered with waves has been substantially improved. This multichannel technique is similar to photometric stereo analysis for opaque surfaces. The three independend channels of a color camera allow simultaneous detection of both surface gradient components. The third information is used for normalization to the total illumination intensity for every individual pixel, leading to an increased linearity and enhanced robustness. Errors due to inhomogeneous illumination or disturbance by small particles in the water can be corrected almost completely. For combined measurements the technique can be reduced to two colors. Measuring only one slope component normalization is still possible. At two wind/wave facilities statistical and geometrical information for small scale waves were obtained and compared to results from authors using other techniques. Two combined experiments were conducted. At different scales the wave field and the underlying flow field were observed simultaneously. Hering [1996] computed kinetic energy density and vorticity of the flow field in a 10cm x 10cm frame. In the second combined experiment M{\"u}nsterer [1996] measured concentration profiles of a tracer gas in a 4cm x 4cm section in the viscous boundery layer. Both experiments provided new insights in the interaction between capillary waves, turbulence in the flow field and in the boundary layer respectively.},
	url = {http://www.ub.uni-heidelberg.de/archiv/2473/},
	author = {G{\"u}nther Balschbach}
}
@conference {Schnoerr-handbook-99b,
	title = {Variational Adaptive Smoothing and Segmentation},
	booktitle = {Computer Vision and Applications: A Guide for Students and Practitioners},
	year = {2000},
	pages = {459{\textendash}482},
	publisher = {Academic Press},
	organization = {Academic Press},
	address = {San Diego},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Hau{\ss}ecker, H.}
}
@conference {Schnoerr-Weickert-00,
	title = {Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives},
	booktitle = {Mustererkennung 2000},
	series = {Informatik aktuell},
	year = {2000},
	note = {(invited paper)},
	month = {Sept., 13{\textendash}15},
	publisher = {Springer},
	organization = {Springer},
	address = {Kiel, Germany},
	author = {Schn{\"o}rr, C. and Weickert, J.},
	editor = {Sommer, G.}
}
@phdthesis {tvarusko2000,
	title = {Zeitaufgel{\"o}ste Analyse und Visualisierung in lebenden Zellen},
	year = {2000},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Tvarusk\{\textasciiacute}o, Wolfgang}
}
@mastersthesis {reinmuth2000,
	title = {Zwei-Farbstoff-Technik zur Tiefenrekonstruktion von Gaskonzentrationen in der wasserseitigen Grenzschicht},
	year = {2000},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In the present work a laser-induced fluoerscence (LIF) technique for visualizing 3 dimensional gas profiles in water was further developed. This technique allows studies of small-scale processes in the aqueous boundary layer and, since the fluorescence intensity depends linearly on the pH value, it takes advantage of the acid/base reaction of the used fluorescence indicator. Thus gases, which change the pH value, can be traced by using such an indicator. A second, absorbing but non-fluorescent dye causes non-linear changes in the measured spectra, which depend on the travelled distance in the solution. The key idea for this approach was taken from differential optical absorptions spectroscopy (DOAS), in which atmospheric trace gas concentrations are determined by measured absoption spectra. The major goal was finding and analysing suitable dyes. In order to be able to use the LIF technique for gas profile measurements, the dyes needed to meet certain criteria. Various dyes were thoroughly examined and in the course of this work three suitable absorber could be determined. An illumination method for 3 dimensional depth reconstruction was designed, in which the laserbeam was expanded by an optical system and the resulting homogeneous patch was projeced onto the water surface. This illumination method allowed scale analysis of patterns caused by CO2 concentration fluctuations.},
	author = {Reinmuth, Jutta}
}
@inbook {stoehr1999,
	title = {4D particle tracking velocimetry applied to gas-liquid reactors},
	booktitle = {In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control.},
	year = {1999},
	pages = {270--279},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {M. St{\"o}hr and Christoph S. Garbe and D. Engelmann and Peter Gei{\ss}ler and Gomes, S. and Frank Hering and Bernd J{\"a}hne and F. Keil and W. Mackens and H. Vo{\ss} and Wagner, H.-G..},
	editor = {J. Werther}
}
@conference {schimpf1999b,
	title = {Air--sea gas transfer and micro turbulence at the ocean surface using infrared image processing},
	booktitle = {Geoscience and Remote Sensing Symposium, 1999. IGARSS apos;99 Proceedings. IEEE 1999 International},
	volume = {1},
	year = {1999},
	pages = {11--13},
	abstract = {To obtain an insight into the transfer process at the air-water interface new techniques for the quantitative investigation of the gas exchange have been developed. The controlled flux technique, CFT (Jahne et al. 1989) uses heat as a proxy tracer for gases to measure the air-sea gas transfer velocity with a high spatial and temporal resolution. The results of a field cruise and a laboratory study are discussed and compared with a model (Schimpf et al.) predicting the sea surface temperature distribution based on surface renewal (Danckwerts 1970). The sea surface temperature fluctuations associated with the interplay of diffusive and turbulent transport give direct insight into the mechanisms of gas transfer. Using infrared image processing the spatial structure of the micro turbulence at the ocean surface is analyzed.},
	doi = {10.1109/IGARSS.1999.773384},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@incollection {spies1999,
	title = {Analyzing particle movements at soil interfaces},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {699-718},
	publisher = {Academic Press},
	chapter = {32},
	author = {Hagen Spies and Oliver Beringer and Hermann Gr{\"o}ning and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@mastersthesis {goetz1999,
	title = {Bildverarbeitungsalgorithmen in der Fluoreszenzmikroskopie},
	year = {1999},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Carlo G{\"o}tz}
}
@incollection {jaehne1999,
	title = {Bl{\"a}tter, Wind und Wellen. Unsichtbares wird sichtbar.},
	year = {1999},
	pages = {38--43},
	publisher = {dot-Verlag},
	author = {Bernd J{\"a}hne},
	editor = {G. Dotzler}
}
@incollection {jaehne1999a,
	title = {Continuous and digital signals},
	volume = {2},
	year = {1999},
	pages = {9--34},
	publisher = {Academic Press},
	chapter = {2},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {geissler1999a,
	title = {Depth-from-focus for the measurement of size distributions of small particles},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {623-646},
	publisher = {Academic Press},
	chapter = {29},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@phdthesis {schmundt1999,
	title = {Development of an Optical Flow Based System for the Precise Measurement of Plant Growth},
	year = {1999},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Dominik Schmund}
}
@conference {spies1999a,
	title = {Differential range flow estimation},
	booktitle = {Proceedings of the 21th DAGM Symposium on Pattern Recognition},
	year = {1999},
	note = {DAGM award},
	pages = {309--316},
	doi = {10.1007/978-3-642-60243-6_36},
	author = {Hagen Spies and Horst Hau{\ss}ecker and Bernd J{\"a}hne and John L. Barron}
}
@incollection {noffz1999,
	title = {Field Programmable Gate Array image processing},
	volume = {3: Systems and Applications},
	year = {1999},
	publisher = {Academic Press},
	chapter = {2},
	author = {Noffz, K.-H. and Lay, R. and M{\"a}nner, R. and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {koehler1999,
	title = {Fluidisation and deformation of submerged soil due to fluctuating water level},
	booktitle = {XII Europ. Conference on Soil Mechanics and Geotechnical Engineering},
	year = {1999},
	pages = {1109--1115},
	author = {H.-J. K{\"o}hler and Hagen Spies and Oliver Beringer and Horst Hau{\ss}ecker}
}
@incollection {eichkorn1999,
	title = {Fluorescenceimaging of air-water gas exchange},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {647-662},
	publisher = {Academic Press},
	chapter = {30},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {haussecker1999g,
	title = {Fuzzy image processing},
	volume = {2: Signal Processing and Pattern Recognition},
	year = {1999},
	pages = {683--727},
	publisher = {Academic Press},
	chapter = {22},
	author = {Horst Hau{\ss}ecker and Hamid R. Tizhoosh and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@article {jaehne1999o,
	title = {Gut beleuchtet ist halb gemessen},
	journal = {QZ},
	volume = {44},
	number = {10},
	year = {1999},
	pages = {1283--1288},
	url = {https://www.qz-online.de/qz-zeitschrift/archiv/artikel/art-der-lichtquelle-und-der-einstrahlbedingungen-sind-entscheidend-gut-beleuchtet-ist-halb-gemessen-345974.html},
	author = {Bernd J{\"a}hne}
}
@book {jaehne1999b,
	title = {Handbook of Computer Vision and Applications},
	year = {1999},
	publisher = {Academic Press},
	organization = {Academic Press},
	author = {Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {jaehne1999r,
	title = {The Heidelberg Aelotron --- a new facility for laboratory investigations of small-scale air-sea interaction},
	booktitle = {The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	note = {Poster},
	doi = {10.5281/zenodo.14857},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Uwe Schimpf and G{\"u}nther Balschbach},
	editor = {M. L. Banner}
}
@conference {jaehne1999m,
	title = {The Heidelberg Aeolotron - a new facility for laboratory investigations of small scale air-sea interaction},
	booktitle = {Poster presented at: The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	abstract = {The study of small-scale air sea interaction still lacks suitable facilities. No facilities are available with large fetches and correspondingly high wave ages. Furthermore almost no large facility is suitable for measurements with sea water, is clean enough for controllable experiments with surface films or sufficiently gas tight for gas exchange measurements. Currently a new large annular wind/wave facility with quasi unlimited fetch is under construction at the Institute for Environmental Physics of Heidelberg University. An annular facility is not a new idea. A 40 m diameter facility ({\textquoteleft}{\textquoteleft}storm basin{\textquoteright}{\textquoteright}) was already built shortly after World War II in Sevastopol for wind/wave interaction studies. Various small circular facilities for air-sea gas exchange studies have been used since the late seventies at Heidelberg University and later at Woods Hole Oceanographic Institution for air-sea gas exchange studies. The new facility builds on the experience with these facilities but now reaches a critical size. It has an outer diameter of 10 m, the channel is 0.65 m wide and 2.4 m high and can be filled with water up to a height of 1.2 m. It is thus a rather deep facility. Only the wind/wave flume of the Hydraulic facility at Scripps Institution of Oceanography is deeper with a depth of 1.5 m. Since the maximum phase speed of the waves is 3.4 m/s, high wave age conditions can be reached at least for low and medium wind speeds. The facility is designed for a maximum wind speed of 15 m/s. Water currents can be generated separately by a set of thrusters. The air space is gas tight and the materials that come into contact with the water and air make experiments possible with de-ionized water, artificial seawater, surfactants, and reactive gases. Water temperatures and heat fluxes across the interface range from 5o to 35oC and from -0.5 to 1 kW/m2, respectively. We plan to focus in the next decade on measurements revealing the mechanism of air-sea gas transfer including the effects of surfactants and waves. The new facility will be open for guest scientists. The experimental possibilities of the facility are detailed to show the opportunities for international cooperation.},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Uwe Schimpf and G{\"u}nther Balschbach}
}
@incollection {jaehne1999c,
	title = {Hyperspectral and color imaging},
	year = {1999},
	pages = {309--320},
	publisher = {Academic Press},
	chapter = {11},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {haussecker1999f,
	title = {Illumination sources and techniques},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {137--162},
	publisher = {Academic Press},
	chapter = {6},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999d,
	title = {Image warping},
	year = {1999},
	pages = {193--206},
	publisher = {Academic Press},
	chapter = {9},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {gei{\ss}ler1999,
	title = {Imaging optics},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {63--101},
	publisher = {Academic Press},
	chapter = {4},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {haussecker1999d,
	title = {Interaction of radiation with matter},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {37--62},
	publisher = {Academic Press},
	chapter = {3},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999e,
	title = {Interpolation},
	year = {1999},
	pages = {175--192},
	publisher = {Academic Press},
	chapter = {8},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@techreport {Heers-et-al-98b,
	title = {Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation},
	number = {283/99},
	year = {1999},
	month = {Jan.},
	institution = {Comp. Sci. Dept., AB KOGS},
	type = {Technical report},
	address = {University of Hamburg, Germany},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@incollection {jaehne1999f,
	title = {Local averaging},
	year = {1999},
	pages = {153--174},
	publisher = {Academic Press},
	chapter = {7},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {jaehne1999g,
	title = {Local structure},
	year = {1999},
	pages = {209--238},
	publisher = {Academic Press},
	chapter = {10},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@conference {Wulf-et-al-99a,
	title = {A model of spatiotemporal receptive fields in the primate retina},
	booktitle = {Proc. 1st G{\"o}ttingen Conf. German Neurosci. Soc.},
	volume = {II},
	year = {1999},
	author = {Wulf, M. and Stiehl, H.S. and Schn{\"o}rr, C.},
	editor = {Elsner, N. and Eysel, U.}
}
@conference {Wulf-et-al-99b,
	title = {Modeling spatiotemporal receptive fields in the primate retina},
	booktitle = {Proc. Cognitive Neurosci. Conf.},
	year = {1999},
	month = {Oct. 31 {\textendash} Nov. 3},
	publisher = {Hanse{\textendash}Wissenschaftskolleg},
	organization = {Hanse{\textendash}Wissenschaftskolleg},
	address = {Bremen, Germany},
	author = {Wulf, M. and Stiehl, H.S. and Schn{\"o}rr, C.}
}
@incollection {haussecker1999c,
	title = {Motion},
	volume = {2: Signal Processing and Pattern Recognition},
	year = {1999},
	pages = {309--396},
	publisher = {Academic Press},
	chapter = {13},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999h,
	title = {Multimedia architectures},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {31--52},
	publisher = {Academic Press},
	chapter = {3},
	author = {Bernd J{\"a}hne and Helmut Herrmann and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {jaehne1999i,
	title = {Multiresolutional signal representation},
	volume = {2},
	year = {1999},
	pages = {67--90},
	publisher = {Academic Press},
	chapter = {4},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {jaehne1999q,
	title = {Neighborhood operators},
	year = {1999},
	pages = {93--124},
	publisher = {Academic Press},
	chapter = {5},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@conference {klinke1999,
	title = {Observations of free and bound gravity-capillary Waves},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	pages = {87--88},
	doi = {10.5281/zenodo.14908},
	author = {J. Klinke and Bernd J{\"a}hne and S. R. Long}
}
@article {Peckar-et-al-99,
	title = {Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements},
	journal = {J. Math. Imaging and Vision},
	volume = {10},
	number = {2},
	year = {1999},
	pages = {143{\textendash}162},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.{\textendash}S.}
}
@incollection {engelmann1999a,
	title = {Particle-tracking velocimetry},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {663-697},
	publisher = {Academic Press},
	chapter = {31},
	author = {D. Engelmann and M. St{\"o}hr and Christoph S. Garbe and Frank Hering and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {schmundt1999a,
	title = {Plant-leaf growth studied by image sequence analysis},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {719-735},
	publisher = {Academic Press},
	chapter = {33},
	author = {Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {jaehne1999k,
	title = {Principles of Filter Design},
	volume = {2},
	year = {1999},
	pages = {125--151},
	publisher = {Academic Press},
	author = {Bernd J{\"a}hne and Hanno Scharr and K{\"o}rkel, S. and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@conference {blom1999,
	title = {Quality classification and process control of micro-spot laser welding},
	booktitle = {Proceedings of the Ninth International FAIM Conference - Flexible Automation and Intelligent Manufacturing, Tilburg},
	year = {1999},
	pages = {929--941},
	publisher = {Begell House},
	organization = {Begell House},
	author = {Blom, A. H. M and Brassel, Jan-Oliver and Brocke, Martin von and Mittler, M.},
	editor = {Ashayeri, Jalal and Sullivan, William and Ahmad, Munir}
}
@phdthesis {leue1999,
	title = {Quantitative Analyse von NOx - Emissionen aus GOME Satellitenbildfolgen},
	year = {1999},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Carsten Leue}
}
@incollection {haussecker1999b,
	title = {Radiation},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {7--35},
	publisher = {Academic Press},
	chapter = {2},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {haussecker1999e,
	title = {Radiometry of imaging},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {103--135},
	publisher = {Academic Press},
	chapter = {5},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {Weickert-Schnoerr-99b,
	title = {R{\"a}umlich{\textendash}zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabh{\"a}ngigen Glattheitstermen},
	booktitle = {Mustererkennung 1999},
	series = {Informatik aktuell},
	year = {1999},
	pages = {317{\textendash}324},
	publisher = {Springer},
	organization = {Springer},
	author = {Weickert, J. and Schn{\"o}rr, C.},
	editor = {F{\"o}rstner, W. and Buhmann, J.M. and Faber, A. and Faber, P.}
}
@incollection {leue1999a,
	title = {Retrieval of Atmospheric Trace Gas Concentrations},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {783-805},
	publisher = {Academic Press},
	chapter = {37},
	author = {Carsten Leue and Mark Wenig and Ulrich Platt and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999l,
	title = {Spatial and fourier domain},
	year = {1999},
	pages = {35--66},
	publisher = {Academic Press},
	chapter = {3},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@conference {schimpf1999,
	title = {Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	note = {Poster},
	doi = {10.5281/zenodo.14567},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {M. L. Banner}
}
@incollection {schimpf1999a,
	title = {Studies of small-scale air-sea interaction with active and passive thermography},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {751-762},
	publisher = {Academic Press},
	chapter = {35},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {zhang1999b,
	title = {A study of advection of short wind waves by long waves from surface slope images},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	pages = {93--97},
	doi = {10.5281/zenodo.14909},
	author = {Zhang, X. and J. Klinke and Bernd J{\"a}hne}
}
@incollection {kuemmerlen1999,
	title = {Thermography to measure water relations of plant leaves},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {763-781},
	publisher = {Academic Press},
	chapter = {36},
	author = {Bernd K{\"u}mmerlen and Stefan Dauwe and Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {engelmann1999,
	title = {Three dimensional flow dynamics beneath the air-water interface},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	pages = {181--184},
	doi = {10.5281/zenodo.14910},
	author = {D. Engelmann and Christoph S. Garbe and M. St{\"o}hr and Bernd J{\"a}hne}
}
@conference {haussecker1999a,
	title = {A total least squares framework for low-level analysis of dynamic scenes and processes},
	booktitle = {Proceedings of the 21th DAGM Symposium on Pattern Recognition},
	year = {1999},
	note = {DAGM award},
	pages = {240--249},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-60243-6_28},
	author = {Horst Hau{\ss}ecker and Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@mastersthesis {ehrler1999,
	title = {Untersuchung physiologischer Parameter und Prozesse in Pflanzen mit Hilfe von Bildverarbeitung},
	year = {1999},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	author = {Harald Ehrler}
}
@conference {Schnoerr-handbook-99a,
	title = {Variational Methods for Adaptive Image Smoothing and Segmentation},
	booktitle = {Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition},
	volume = {2},
	year = {1999},
	pages = {451{\textendash}484},
	publisher = {Academic Press},
	organization = {Academic Press},
	address = {San Diego},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Hau{\ss}ecker, H. and Gei{\ss}ler, P.}
}
@mastersthesis {ehrbaecher1999,
	title = {Voruntersuchungen f{\"u}r ein Messsystem zur Analyse von Str{\"o}mungen in Sedimentporen mittels digitaler Bildfolgenanalyse},
	year = {1999},
	school = {University of Heidelberg},
	author = {Ehrb{\"a}cher, Ulrich}
}
@mastersthesis {kirchgessner1999,
	title = {Voruntersuchungen zur 3D-Wuchsanalyse von Pflanzenbl{\"a}ttern und die Modellierung der Blattadern},
	year = {1999},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Norbert Kirchge{\ss}ner}
}
@booklet {jaehne1999p,
	title = {Wenn Unsichtbares sichtbar wird},
	year = {1999},
	author = {Bernd J{\"a}hne}
}
@article {jaehne1999n,
	title = {When the invisible becomes visible},
	journal = {German research, Magazine of the German Research Foundation (DFG)},
	year = {1999},
	pages = {30--33},
	doi = {10.5281/zenodo.14914},
	author = {Bernd J{\"a}hne}
}
@article {jaehne1998,
	title = {Air-water gas exchange},
	journal = {Annu. Rev. Fluid Mech.},
	volume = {30},
	year = {1998},
	pages = {443--468},
	abstract = {The exchange of inert and sparingly soluble gases - including carbon dioxide, methane, and oxygen - between the atmosphere and oceans is controlled by a thin 20- to 200-um-thick boundary layer at the top of the ocean. The hydrodynamics in this layer are significantly different from boundary layers at rigid walls, since the orbital motion of the waves is of the same order as the velocities in the viscous boundary layer. Laboratory and field measurements show that wind waves significantly increase the gas transfer rate and that it is significantly influenced in this way by surfactants. Because of limited experimental techniques, the mechanisms for this enhancement and the structure of the turbulence in the boundary layer at a wavy water surface are still not known. A number of new imaging techniques are described that give direct insight into the processes and promise to trigger substantial theoretical progress in the near future.},
	doi = {10.1146/annurev.fluid.30.1.443},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@mastersthesis {scholze1998,
	title = {Analyse der visuellen Stratigraphie alpiner Eisbohrkerne mittels digitaler Bildverarbeitung},
	year = {1998},
	school = {Fakult{\"a}t f{\"u}r Physik und Astronomie Universit{\"a}t Heidelberg},
	author = {Scholze, Marko}
}
@phdthesis {dieter1998,
	title = {Analysis of Small-Scale Ocean Wind Waves by Image Sequence Analysis of Specular Reflections},
	year = {1998},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/955455804},
	author = {Jochen Dieter}
}
@mastersthesis {spies1998,
	title = {Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen und Porenstr{\"o}mungen},
	year = {1998},
	school = {University of Heidelberg},
	author = {Hagen Spies}
}
@mastersthesis {brocke1998,
	title = {Bildverarbeitung f{\"u}r Mikrolaserschwei{\ss}en unter Verwendung der Houghtransformation},
	year = {1998},
	school = {Universit{\"a}t Heidelberg},
	author = {Martin Brocke}
}
@conference {Heers-et-al-98a,
	title = {A class of parallel algorithms for nonlinear variational image segmentation},
	booktitle = {Proc. Noblesse Workshop on Non{\textendash}Linear Model Based Image Analysis (NMBIA{\textquoteright}98)},
	year = {1998},
	month = {July, 1{\textendash}3},
	address = {Glasgow, Scotland},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@mastersthesis {rennekamp1998,
	title = {Datenbank gest{\"u}tzte Verwaltung kalibrierter Bildsequenzen zur Qualit{\"a}tsbewertung von Algorithmen},
	year = {1998},
	school = {Fakult{\"a}t f{\"u}r Physik und Astronomie Universit{\"a}t Heidelberg},
	author = {Rennekamp, Frank}
}
@phdthesis {geissler1998,
	title = {Depth-from-Focus zur Messung der Gr{\"o}{\ss}enverteilung durch Wellenbrechen erzeugter Blasenpopulationen},
	year = {1998},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Peter Gei{\ss}ler}
}
@article {hamprecht_98_development,
	title = {Development and assessment of new exchange-correlation functionals},
	journal = {Journal of Chemical Physics},
	volume = {109},
	year = {1998},
	pages = {6264-6271},
	doi = {10.1063/1.477267},
	author = {Fred A. Hamprecht and Cohen, A. J. and Tozer, D. J. and Handy, N. C.}
}
@conference {Wiehler-et-al-98,
	title = {Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi{\textendash}Dimensional Signals},
	booktitle = {Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications},
	year = {1998},
	month = {April, 14{\textendash}17},
	address = {London},
	author = {Wiehler, K. and Grigat, R.{\textendash}R. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@mastersthesis {beringer1998,
	title = {Ein Messsystem zur Untersuchung von Sedimentverlagerungen und Durchmischungsprozessen mittels digitaler Bildfolgenanalyse},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In dieser Arbeit wurde in Zusammenarbeit mit der Bundesanstalt f{\"u}r Wasserbau, BAW, ein Messsystem zur Untersuchung von Sediment-verlagerungen mittels Bildfolgenanalyse entwickelt. Damit soll eine theoretisch-fundierte Basis f{\"u}r den Entwurf von Uferbebauungen und D{\"a}mmen geschaffen werden. Untersucht wurden die, aufgrund von hydraulischen Last{\"a}nderungen, auftretenden Durchmischungs- und Transportprozesse an Kies/Sand Grenzschichten sowie die Fluidisierung von Sediment. Die Messungen wurden in einem speziell angefertigten gro{\ss}en Drucktank durchgef{\"u}hrt. Durch Auswertung von synchronisierten Bild- und Druckdaten konnten die relevanten physikalischen Gr{\"o}{\ss}en gewonnen werden. Die Bildaufnahme erfolgte mittels Endoskopen und CCD-Kameras. Es wurde ein Bildsequenzkomprimierungsverfahren zur Vorauswertung der Bilddaten entwickelt. Die Berechnung von Geschwindigkeitsvektorfeldern erfolgte durch Analyse der Bildsequenzen mit einem Tensorverfahren. Farbkodierte Sandk{\"o}rner sowie die Aufnahme von Farbbildern erm{\"o}glichen die Quantifizierung von Durchmischungsprozessen. Durch Segmentierung k{\"o}nnen die verschiedenfarbigen Sedimentschichten getrennt werden. Ein Dif- fusionsansatz liefert die gesuchten Durchmischungsparameter. Ein wesentlicher Teil der Arbeit bestand in der Entwicklung und Erprobung eines Beleuchtungssystems f{\"u}r die Bildaufnahme. Als Lichtquellen werden spezielle Mikro-LEDs eingesetzt. Diese Beleuchtung zeichnet sich durch ihre geringen Abmessungen, die hohe Homogenit{\"a}t und hohe Intensit{\"a}t aus.},
	author = {Oliver Beringer}
}
@mastersthesis {carstens1998,
	title = {Ein Skalenraumverfahren zur Orts/Wellenzahl-Raum-Analyse winderzeugter Wasserwellen},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {The following thesis describes a new technique for the calculation of local wave numbers and the creation of a combined space/wave number-representation of images. The design of a steerable and separable smoothing filter and a corresponding Hilbert filter makes it possible to create a logarithmic scale-space of the local amplitude. An oversampled multigrid structure (pyramid) is used for the Implementierung. An additional decomposition of the orientation is carried out. As the method{\textquoteright}s response to a wave with a delta-shaped spectra is known, a superposition of partial waves can be separated and their individual absolute values, orientations and amplitudes be calculated. A calibration using test images shows the accuracy of the described technique and its robustness to noise. The scale-space method is applied to wave slope images and the results on single images are visualised. Saturation spectra of image sequences are calculated and and shown to match those computed by a discrete Fourier transform. Further possibilities of the technique are demonstrated by calculating spectra showing the distribution of the amplitudes as a function of the wave number.},
	author = {Carstens, Heiko}
}
@mastersthesis {stoehr1998,
	title = {Entwicklung dreidimensionaler Particle Tracking Velocimetry zur Messung der Zweiphasenstr{\"o}mung in Gas-Fl{\"u}ssig-Reaktoren},
	year = {1998},
	school = {University of Heidelberg},
	author = {M. St{\"o}hr}
}
@mastersthesis {garbe1998,
	title = {Entwicklung eines Systems zur dreidimensionalen Particle Tracking Velocimetry mit Genauigkeitsuntersuchungen und Anwendung bei Messungen in einem Wind-Wellen Kanal},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Christoph S. Garbe}
}
@article {leue1998a,
	title = {GOME mi{\ss}t atmosph{\"a}rische Stickoxide. Globale Biomassenverbrennung und Industrieemissionen},
	journal = {Physik in unserer Zeit},
	volume = {29},
	number = {4},
	year = {1998},
	pages = {179},
	doi = {10.1002/piuz.19980290410},
	author = {Carsten Leue and Mark Wenig and Bernd J{\"a}hne and Ulrich Platt}
}
@mastersthesis {kuemmerlen1998,
	title = {Infrarot-Thermographie zum Studium physiologischer Parameter von Pflanzenbl{\"a}ttern},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Bernd K{\"u}mmerlen}
}
@conference {Heers-et-al-98c,
	title = {Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Image Proc.},
	year = {1998},
	month = {Oct. 4{\textendash}7},
	address = {Chicago},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@article {muensterer1998,
	title = {LIF measurements of concentration profiles in the aqueous mass boundary layer},
	journal = {Exp. Fluids},
	volume = {25},
	year = {1998},
	pages = {190--196},
	abstract = {A laser-induced fluorescence (LIF) technique is described to measure vertical concentration profiles of gases in the aqueous mass boundary layer at a free water surface. The technique uses an acid-base reaction of the fluorescence indicator fluorescein at the water surface to visualize the concentration profiles. The technique is capable of measuring two-dimensional vertical concentration profiles at a rate of 200 frames/s and a spatial resolution of 16 um. The mass boundary layer at a free surface is characterized by significant fluctuations. Direct surface renewal is observed. The mean profiles also support rather surface renewal models than turbulent diffusion models.},
	doi = {10.1007/s003480050223},
	author = {Thomas M{\"u}nsterer and Bernd J{\"a}hne}
}
@article {Peckar-et-al-98,
	title = {Linear and Incremental Estimation of Elastic Deformations in Medical Registration Using Prescribed Displacements},
	journal = {Machine Graphics \& Vision},
	volume = {7},
	number = {4},
	year = {1998},
	pages = {807{\textendash}829},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.{\textendash}S. and Spetzger, U.}
}
@conference {schimpf1998,
	title = {Measurements of air--sea gas transfer using active and passive thermography},
	booktitle = {Eurochem 387 "Remote Sensing of Slicks and Air--Sea Interactions"},
	year = {1998},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {haussecker1998,
	title = {Measurements of the air-sea gas transfer and its mechanisms by active and passive thermography},
	booktitle = {Proc. IEEE International Geoscience and Remote Sensing Symposium IGARSS {\textquoteright}98},
	volume = {1},
	year = {1998},
	pages = {484--486 vol.1},
	abstract = {In order to reliably measure air-sea gas transfer velocities in the field with a high spatial and temporal resolution a new technique has been developed called the controlled flux technique, CFT. The current implementation splits up into two independent techniques using active and passive thermography, respectively. The CFT field instrument has been successfully used during two research cruises along the California Pacific coast (MBL/CoOP, 1995) and on the North Atlantic (CoOP, 1997). In addition to in-situ gas transfer rates, thermography of the ocean surface gives direct insight into the mechanisms of gas transfer. It has been shown that surface renewal dominates the transfer processes even at low wind speeds.},
	doi = {10.1109/IGARSS.1998.702947},
	author = {Horst Hau{\ss}ecker and Uwe Schimpf and Bernd J{\"a}hne}
}
@conference {herrmann1998,
	title = {Modulare Software f{\"u}r die h{\"o}herdimensionale Bildverarbeitung},
	booktitle = {5. ABW-Workshop, TA Esslingen 20.--21.01.1998},
	year = {1998},
	doi = {10.5281/zenodo.14326},
	author = {Helmut Herrmann and Bernd J{\"a}hne}
}
@conference {balschbach1998,
	title = {Multichannel shape from shading techniques for moving specular surfaces},
	booktitle = {ECCV 1998},
	volume = {1407},
	year = {1998},
	pages = {170--184},
	publisher = {Springer, Berlin},
	organization = {Springer, Berlin},
	doi = {10.1007/BFb0054740},
	author = {G{\"u}nther Balschbach and J. Klinke and Bernd J{\"a}hne},
	editor = {Burkhardt, H. and Neumann, B.}
}
@conference {Peckar-et-al-98a,
	title = {Non-Rigid Image Registration Using a Parameter-Free Elastic Model},
	booktitle = {9th British Machine Vision Conference (BMVC{\textquoteleft}98)},
	year = {1998},
	month = {Sept. 14{\textendash}17},
	pages = {134{\textendash}143},
	address = {Southampton/UK},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.S.},
	editor = {Carter, J.N. and Nixon, M.S.}
}
@mastersthesis {mann1998,
	title = {Objektbasierte Bildfolgenanalyse zur Bewegungsbestimmung im in vitro Motility Assay unter Verwendung eines Strukturtensorverfahrens},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Sven Mann}
}
@conference {Heers-et-al-dagm98,
	title = {Parallele und global konvergente iterative Minimierung nichtlinearer Variationsans{\"a}tze zur adaptiven Gl{\"a}ttung und Segmentation von Bildern},
	booktitle = {Mustererkennung 1998},
	series = {Informatik aktuell},
	year = {1998},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@mastersthesis {marxen1998,
	title = {Particle Image Velocimetry in Str{\"o}mungen mit starken Geschwindigkeitsgradienten},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Michael Marxen}
}
@article {hering1998,
	title = {Particle tracking velocimetry beneath water waves. part II : water waves},
	journal = {Exp. Fluids},
	volume = {24},
	number = {1},
	year = {1998},
	pages = {10-16},
	abstract = {Particle Tracking techniques described earlier in the first part of this paper (Hering et al. 1997) were used to study the flow field beneath mechanically generated and wind induced flow fields. Experiments were conducted at three different wind/wave facilities (Heidelberg, Delft and San Diego). Particle Tracking allows an extensive study of drift velocities, wave orbital motion and turbulent Reynolds Stress beneath water waves. Monte Carlo simulations show, that the effects of the moving water surface on the calculation of mean properties of a flow can easily be avoided by Lagrangian measurements. Due to micro-scale wave breaking friction velocity profiles show a significant increase of turbulence towards the interface.},
	doi = {10.1007/s003480050145},
	author = {Frank Hering and Dietmar Wierzimok and Carsten Leue and Bernd J{\"a}hne}
}
@article {schmundt1998,
	title = {Quantitative analysis of the local rates of growth of dicot leaves at a high temporal and spatial resolution, using image sequence analysis},
	journal = {Plant Journal},
	volume = {16},
	year = {1998},
	pages = {505--514},
	abstract = {A new technique is presented for quantitative mapping of dicot leaf growth at high spatial and temporal resolution, at a speed making online-mapping feasible. Time lapse video sequences of growing leaves are captured by a personal computer (PC) with a frame-grabber board and a standard CCD camera, and evaluated using algorithms that have been recently developed to analyse motion in dynamic image sequences. Growth can be detected at under 1\% per hour, with a time resolution of minutes and a spatial resolution of a few millimeters. The new technique has been verified by comparing it with classical approaches to map integrated growth. Diurnal courses of leaf growth of Ricinus communis and tobacco are presented to demonstrate the localised character of growth in leaves. Expansion growth is restricted to the base of the leaf and is restricted to a few hours at the end of the night and the start of the day. The high resolution of the method is illustrated by mapping the responses to step-changes in leaf turgor. A 3 bar turgor jump led to a rapid transient expansion over the entire length of the leaf that was partially reversed when the turgor was relaxed.},
	doi = {10.1046/j.1365-313x.1998.00314.x},
	author = {Dominik Schmund and Mark Stitt and Bernd J{\"a}hne and Ulrich Schurr}
}
@article {leue1998,
	title = {Quantitative observation of biomass-burning plumes from GOME},
	journal = {ESA Publications EOQ},
	volume = {58},
	year = {1998},
	pages = {33--35},
	url = {http://esapub.esrin.esa.it/eoq/eoq58},
	author = {Carsten Leue and Mark Wenig and Bernd J{\"a}hne and Ulrich Platt}
}
@conference {Wiehler-et-al-98b,
	title = {Real{\textendash}Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology},
	booktitle = {Mustererkennung 1998},
	series = {Informatik aktuell},
	year = {1998},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Wiehler, K. and Grigat, R.{\textendash}R. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@article {jaehne1998a,
	title = {Sehen, was man sonst nicht sieht},
	journal = {Ruperto Carola},
	number = {3},
	year = {1998},
	pages = {32--36},
	doi = {10.5281/zenodo.14917},
	url = {http://www.uni-heidelberg.de/uni/presse/RuCa3_98/jaehne.htm},
	author = {Bernd J{\"a}hne}
}
@conference {engelmann1998,
	title = {Stereo particle tracking},
	booktitle = {Proc. of the 8th International Symposium on Flow Visualization},
	year = {1998},
	pages = {240--249},
	doi = {10.5281/zenodo.14906},
	author = {D. Engelmann and Christoph S. Garbe and M. St{\"o}hr and Peter Gei{\ss}ler and Frank Hering and Bernd J{\"a}hne}
}
@article {Schnoerr-jmiv-98,
	title = {A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction},
	journal = {J. of Math. Imag. and Vision},
	volume = {8},
	number = {3},
	year = {1998},
	pages = {271{\textendash}292},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1998b,
	title = {Study of dynamical processes with tensor-based spatiotemporal image processing techniques},
	booktitle = {ECCV 1998},
	volume = {1407},
	year = {1998},
	pages = {322--336},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These applications require high accuracy for the estimation of the motion field since the most interesting parameters of the dynamical processes studied are contained in first-order derivatives of the motion field or in dynamical changes of the moving objects. Therefore the performance and optimization of low-level motion estimators is discussed. A tensor method tuned with carefully optimized derivative filters yields reliable and dense displacement vector fields (DVF) with an accuracy of up to a few hundredth pixels/frame for real-world images. The accuracy of the tensor method is verified with computer-generated sequences and a calibrated image sequence. With the improvements in accuracy the motion estimation is now rather limited by imperfections in the CCD sensors, especially the spatial nonuniformity in the responsivity. With a simple two-point calibration, these effects can efficiently be suppressed. The application of the techniques to the analysis of plant growth, to ocean surface microturbulence in IR image sequences, and to sediment transport is demonstrated.},
	doi = {10.1007/BFb0054750},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Hanno Scharr and Hagen Spies and Dominik Schmund and Ulrich Schurr}
}
@conference {haussecker1998a,
	title = {Tensor-based image sequence processing techniques for the study of dynamical processes},
	booktitle = {Proc. Intern. Symp. On Real-time Imaging and Dynamic Analysis},
	year = {1998},
	pages = {704--711},
	publisher = {International Society of Photogrammetry and Remote Sensing, ISPRS, Commision V},
	organization = {International Society of Photogrammetry and Remote Sensing, ISPRS, Commision V},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne}
}
@article {buehl_98_theoretical,
	title = {Theoretical Investigation of NMR Chemical Shifts and Reactivities of Oxovanadium (V) Compounds},
	journal = {Journal of Computational Chemistry},
	volume = {19},
	year = {1998},
	pages = {113-122},
	author = {B{\"u}hl, M. and Fred A. Hamprecht}
}
@article {kubinyi_98_threedimensional,
	title = {Threedimensional Quantitative Similarity-Activity Relationships (3DQSiAR) from SEAL Similarity Matrices},
	journal = {Journal of Medicinal Chemistry},
	volume = {41},
	year = {1998},
	pages = {2553-2564},
	author = {Kubinyi, H. and Fred A. Hamprecht and Mietzner, T.}
}
@mastersthesis {lode1998,
	title = {Tiefenrekonstruktion vertikaler Konzentrationsprofile in der wasserseitigen Grenzschicht mittels spektroskopischer laserinduzierter Fluoreszenz (LIF)},
	year = {1998},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {A new laser-induced fluorescence (LIF) technique is presented to reconstruct depthresolved vertical two-dimensional concentration profiles of gases solved in water. It was developed to study small-scale processes in the viscous mass boundary layer. The key idea originated from differential optical absorption spectroscopy (DOAS). A fluorescence indicator with pH-dependent fluorescence intensity was used as a tracer. Gases changing the pH-value when solved in water, can be detected by a linear change in fluorescence intensity. A second absorbing dye causes a non-linear change of the measured spectra. Therefore the shape of the fluorescence spectrum depends on the pathlenght the light travels from the depth it originates from up to the water surface. A laser-lightsheet perpendicular to the water-surface is created and the fluorescence light integrated over depth is being spectrally analyzed by the designed prism-spectrometer. The spectra were measured by a CCD-camera as gray value images. A method to do a wavelength calibration is presented and used. The performed measurements combined with the modelling of the underlying processes have proven, that a depth-resolved reconstruction of concetration profiles is feasible with this technique. The reconstruction leads to problems, that are beeing solved by means of discrete inverse theory. Eventually the optimum set of parameters, that can be chosen is being calculated.},
	author = {Ulrike Lode}
}
@phdthesis {lauer1998,
	title = {Untersuchung der Neigungsstatistik von Wasseroberfl{\"a}chenwellen mittels eines schnellen, bildaufnehmenden Verfahrens},
	year = {1998},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Lauer, Hermann}
}
@phdthesis {Schnoerr-habil-98,
	title = {Variational approaches to Image Segmentation and Feature Extraction},
	year = {1998},
	note = {in German},
	publisher = {University of Hamburg, Comp. Sci. Dept.},
	type = {phdHabilitation thesis},
	address = {Hamburg, Germany},
	author = {Schn{\"o}rr, C.}
}
@mastersthesis {wenig1998,
	title = {Wolkenklassifizierung mittels Bildsequenzanalyse auf GOME-Satellitendaten},
	year = {1998},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Mark Wenig}
}
@mastersthesis {bentele1998,
	title = {Zeitliche Rekonstruktion und Visualisierung dynamischer Prozesse},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Martin Bentele}
}
@conference {jaehne1997,
	title = {3D-Exploration mit einer sich bewegenden Kamera},
	booktitle = {Bildverarbeitung{\textquoteright}97, Forschen, Entwickeln, Anwenden},
	year = {1997},
	publisher = {Technische Akademie Esslingen},
	organization = {Technische Akademie Esslingen},
	doi = {10.5281/zenodo.14338},
	author = {Bernd J{\"a}hne and Helmut Herrmann},
	editor = {Ahlers, R. -J.}
}
@mastersthesis {borchers1997,
	title = {Bestimmung von Gr{\"o}sse und Geschwindigkeit der dispersen Phase in Gas-Fl{\"u}ssig-Str{\"o}mungen mittels digitaler Bildverarbeitung},
	year = {1997},
	school = {University of Heidelberg},
	author = {Borchers, O. J.}
}
@conference {hering1997,
	title = {A comprehensive study of algorithms for multidimensional flow field diagnostics},
	booktitle = {Proc. Optical 3D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997},
	year = {1997},
	pages = {436--443},
	publisher = {Wichmann},
	organization = {Wichmann},
	author = {Frank Hering and Horst Hau{\ss}ecker and Jochen Dieter and T. Netzsch and Bernd J{\"a}hne},
	editor = {A. Gr{\"u}n and H. Kahmen}
}
@conference {Fornland-Schnoerr-97,
	title = {Determining the Dominant Plane from Uncalibrated Stereo Vision by a Robust and Convergent Iterative Approach without Correspondence},
	booktitle = {Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR{\textquoteright}97)},
	year = {1997},
	month = {June 17-19},
	address = {San Juan, Puerto Rico},
	author = {Fornland, P{\"a}r and Christoph Schn{\"o}rr}
}
@book {jaehne1997h,
	title = {Digital Image Processing - Concepts, Algorithms, and Scientific Applications},
	year = {1997},
	note = {Includes CD-ROM},
	publisher = {Springer},
	organization = {Springer},
	edition = {4},
	doi = {10.1007/978-3-662-03477-4},
	url = {http://d-nb.info/950918016},
	author = {Bernd J{\"a}hne}
}
@book {jaehne1997g,
	title = {Digitale Bildverarbeitung},
	year = {1997},
	note = {Mit CD-ROM},
	publisher = {Springer},
	organization = {Springer},
	edition = {4},
	doi = {10.1007/978-3-662-06733-8},
	url = {http://d-nb.info/949866776},
	author = {Bernd J{\"a}hne}
}
@article {hamprecht_97_generation,
	title = {Generation of pseudo-native protein structures for threading},
	journal = {Proteins},
	volume = {28},
	year = {1997},
	pages = {522-529},
	author = {Fred A. Hamprecht and Scott, W. R. P. and van Gunsteren, W. F.}
}
@mastersthesis {schultz1997,
	title = {Geometrische Kalibrierung von CCD-Kameras},
	year = {1997},
	school = {University of Heidelberg},
	author = {Michael Schultz}
}
@mastersthesis {stolz1997,
	title = {Infrarot-Absorptionsspektroskopie zur Bestimmung der Luftkonzentration von Spurengasen},
	year = {1997},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Stolz, Andreas}
}
@mastersthesis {dauwe1997,
	title = {Infrarotuntersuchungen zur Bestimmung des Wasser- und W{\"a}rmehaushalts eines Blattes},
	year = {1997},
	school = {University of Heidelberg},
	author = {Stefan Dauwe}
}
@conference {geissler1997,
	title = {Laboratory and inshore measurements of bubble size distributions},
	booktitle = {Proc. Natural Physical Processes associated with Sea Surface Sound, Southampton, July 21--24, 1997},
	year = {1997},
	pages = {147--154},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne},
	editor = {T. G. Leighton}
}
@mastersthesis {fitzenberger1997,
	title = {Lokale Transformationsmethoden zur Auswertung von Wellenneigungsbildern der Wasseroberfl{\"a}che im Bereich kleinskaliger Oberfl{\"a}chenwellen},
	year = {1997},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	author = {Richard Fitzenberger}
}
@conference {dieter1997,
	title = {Measurements of slope statistics on a wind driven water surface},
	booktitle = {Optical 3D Measurement Techniques 4 - Applications in architecture, quality control, robotics, navigation, medical imaging and animation},
	year = {1997},
	publisher = {Wichmann},
	organization = {Wichmann},
	author = {Jochen Dieter and Lauer, Hermann and Bernd J{\"a}hne and A. Gr{\"u}n},
	editor = {H. Kahmen}
}
@mastersthesis {reinecke1997,
	title = {Methoden zur Bearbeitung und Merkmalsextrahierung von Zeitreihen aus technischen Anlagen},
	year = {1997},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Reinecke, Hannes}
}
@mastersthesis {weiss1997,
	title = {Modulation von Windwellen},
	year = {1997},
	school = {Universit{\"a}t Heidelberg},
	author = {Weiss, H.}
}
@conference {geissler1997a,
	title = {A multi-camera system for in-shore measurements of bubble size distributions beneath breaking waves},
	booktitle = {Optical 3-D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997},
	year = {1997},
	pages = {251--258},
	publisher = {Wichmann},
	organization = {Wichmann},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne},
	editor = {A. Gr{\"u}n and H. Kahmen}
}
@conference {balschbach1997,
	title = {Multichannel shape from shading techniques for reconstruction of specular surfaces},
	booktitle = {Tagungsband Herbsttagung des Graduiertenkollegs "3D Bildanalyse und -synthese"},
	year = {1997},
	publisher = {H.-P. Seidel, B. Girod, H. Niemann (Hrsg.)},
	organization = {H.-P. Seidel, B. Girod, H. Niemann (Hrsg.)},
	author = {G{\"u}nther Balschbach and J. Klinke and Bernd J{\"a}hne}
}
@conference {scharr1997,
	title = {Numerische Isotropieoptimierung von FIR-Filtern mittels Quergl{\"a}ttung},
	booktitle = {Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig},
	year = {1997},
	pages = {199--208},
	doi = {10.1007/978-3-642-60893-3_39},
	author = {Hanno Scharr and K{\"o}rkel, S. and Bernd J{\"a}hne},
	editor = {E. Paulus and F. M. Wahl}
}
@article {hering1997a,
	title = {Particle tracking velocimetry beneath water waves. Part I: visualization and tracking algorithms},
	journal = {Exp. Fluids},
	volume = {23},
	number = {6},
	year = {1997},
	pages = {472--482},
	abstract = {A novel particle tracking system working with a high particle concentration for the measurement of flow fields beneath water waves is described. It features a 1-4 cm thick light sheet parallel to the main wave propagation direction so that the seeding particles stay long enough in the illuminated area to enable tracking over several wave periods. An area of up to 14.0x10.0 cm2 is observed by a CCD camera with up to 200 fields/s. The polychromatic scattering theory of small particles in a light sheet illumination is investigated, enabling the segmentation of individual particles at high particle concentration.},
	doi = {10.1007/s003480050137},
	author = {Frank Hering and Dietmar Wierzimok and Carsten Leue and Bernd J{\"a}hne}
}
@conference {jaehne1997f,
	title = {Performance characteristics of low-level motion estimators in spatiotemporal images},
	booktitle = {DAGM-Workshop Performance Characteristics and Quality of Computer Vision Algorithms, Braunschweig, September 18, 1997},
	year = {1997},
	publisher = {Institute of Photogrammetry, Univ.\ Bonn},
	organization = {Institute of Photogrammetry, Univ.\ Bonn},
	author = {Bernd J{\"a}hne and W. F{\"o}rstner}
}
@book {jaehne1997c,
	title = {Practical Handbook on Image Processing for Scientific Applications},
	year = {1997},
	publisher = {CRC-Press, Boca Raton, FL, USA},
	organization = {CRC-Press, Boca Raton, FL, USA},
	author = {Bernd J{\"a}hne}
}
@conference {reinecke1997a,
	title = {Rekonstruktion von Schreiberkurven},
	booktitle = {Mustererkennung 1997},
	year = {1997},
	pages = {527--536},
	publisher = {Springer},
	organization = {Springer},
	author = {Reinecke, H. and N. L. Fantana and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {E. Paulus and F. M. Wahl}
}
@incollection {liss1997,
	title = {Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases},
	year = {1997},
	pages = {1--33},
	publisher = {Cambridge University Press},
	doi = {10.1017/CBO9780511525025.002},
	author = {Peter S. Liss and A. J. Watson and E. J. Bock and Bernd J{\"a}hne and William E. Asher and Nelson M. Frew and L. Hasse and Gerald M. Korenowski and L. Merlivat and L. F. Phillips and P. Schl{\"u}ssel and D. K. Woolf},
	editor = {Peter S. Liss and Robert A. Duce}
}
@conference {jaehne1997j,
	title = {The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes},
	booktitle = {Proc.\ 3D Image Analysis and Synthesis{\textquoteright}97, Erlangen (Germany), November 17--18, 1997},
	year = {1997},
	pages = {107--114},
	publisher = {infix},
	organization = {infix},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Ulrich Platt and Ulrich Schurr and Mark Stitt},
	editor = {Hans-Peter Seidel and B. Girod and H. Niemann}
}
@conference {Gerloff-et-al-97,
	title = {Semi{\textendash}Automated Analysis of SXM Images},
	booktitle = {Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM{\textquoteright}97)},
	year = {1997},
	month = {July, 20{\textendash}25},
	address = {Hamburg, Germany},
	author = {Gerloff, S. and Hagemann, A. and Schn{\"o}rr, C. and Tieck, S. and Stiehl, H.S. and Dombrowski, R. and Dreyer, M. and Wiesendanger, R.}
}
@article {jaehne1997e,
	title = {SIMD-Bildverarbeitungsalgorithmen mit dem Multimedia Extension-Instruktionssatz (MMX) von Intel},
	journal = {Automatisierungstechnik},
	volume = {10},
	number = {5},
	year = {1997},
	pages = {453--460},
	doi = {10.1524/auto.1997.45.10.453},
	author = {Bernd J{\"a}hne}
}
@phdthesis {beyer1997,
	title = {Skalenraumanalyse nichtlinearer Wasseroberfl{\"a}chenwellen},
	year = {1997},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Markus Beyer}
}
@conference {jaehne1997k,
	title = {Softwarekonzepte und Algorithmen f{\"u}r die 3D-Bildverarbeitung},
	booktitle = {4. ABW Workshop, TA Esslingen 22.--23.01.1997},
	year = {1997},
	doi = {10.5281/zenodo.14324},
	author = {Bernd J{\"a}hne and Helmut Herrmann}
}
@conference {haussecker1997,
	title = {A tensor approach for precise computation of dense displacement vector fields},
	booktitle = {Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig},
	year = {1997},
	note = {DAGM award},
	pages = {199--208},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-60893-3_20},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {E. Paulus and F. M. Wahl}
}
@conference {Peckar-et-al-97a,
	title = {Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements},
	booktitle = {Proc. 9th Int. Conf. on Image Analysis and Processing (ICIAP{\textquoteright}97)},
	year = {1997},
	month = {Sept. 17{\textendash}19},
	address = {Florence, Italy},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.S.}
}
@mastersthesis {eichkorn1997,
	title = {Visualisierung und Quantifizierung des CO$_2$ Gasaustausches mittels laserinduzierter Fluoreszenz},
	year = {1997},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	author = {Sven Eichkorn}
}
@conference {geissler1996,
	title = {A 3D-sensor for the measurement of particle concentration from image sequences},
	booktitle = {Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing},
	volume = {31},
	number = {B5},
	year = {1996},
	pages = {194--199},
	doi = {10.5281/zenodo.14895},
	url = {http://www.isprs.org/proceedings/XXXI/congress/part5/},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and P. Waldh{\"a}usl},
	editor = {K. Kraus}
}
@conference {waas1996,
	title = {Combined height/slope/curvature measurements of short ocean wind waves},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {383--388},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14000},
	author = {Stefan Waas and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {hering1996b,
	title = {Combined wave and flow field visualization for investigation of short-wave/long-wave interaction},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {133--138},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14002},
	author = {Frank Hering and Dietmar Wierzimok and W. K. Melville and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {Schnoerr-icaos-96,
	title = {Convex Variational Segmentation of Multi-Channel Images},
	booktitle = {Proc. 12th Int. Conf. on Analysis and Optimization of Systems: Images, Wavelets and PDE{\textquoteright}s},
	series = {Lect. Notes in Control and Information Sciences},
	volume = {219},
	year = {1996},
	month = {June 26-28},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Paris},
	author = {Schn{\"o}rr, C.}
}
@conference {koehler1996,
	title = {Detection of particle movements at soil interfaces due to changing hydraulic load conditions, localised by a digital image processing technique},
	booktitle = {Proc. Geofilters 1996, Montreal},
	year = {1996},
	publisher = {Ecole Polytechnique Montreal},
	organization = {Ecole Polytechnique Montreal},
	author = {H.-J. K{\"o}hler and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Lafleur, J. and Rollin, A. L.}
}
@mastersthesis {scharr1996,
	title = {Digitale Bildverarbeitung und Papier Texturanalyse mittels Pyramiden und Grauwertstatistiken am Beispiel der Papierformation},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Bei der Beurteilung der Qualit{\"a}t von Papier ist die G{\"u}te der Formation ein wichtiges Kriterium. Definitionsgem{\"a}{\ss}, nach ISO-Norm 4046-1978, versteht man unter Formation die Art und Weise, wie Fasern verteilt, angeordnet und vermischt sind, um ein Papier zu bilden [Praast und G{\"o}ttsching, 1991]. F{\"u}r Papiermacher und -verarbeiter ist die Formation die Verteilung von hellen und dunklen Flecken, Wolken bzw. Flocken die man sieht, wenn man ein unbedrucktes Blatt Papier gegen das Licht h{\"a}lt (siehe auch [Bolam, 1961]). Die beiden ausschlaggebenden Merkmale sind die mittlere Flockengr{\"o}{\ss}e und ihr Kontrast gegen den Hintergrund. Visuell ist die G{\"u}te der Massenverteilung auch f{\"u}r den Laien z.B. mittels paarweisem Vergleich (PV) der Proben einfach und zuverl{\"a}ssig durchzuf{\"u}hren (siehe [Hradezky, 1977]). Bisher k{\"o}nnen industrielle Formationsme{\ss}ger{\"a}te den Kontrast sehr gut, aber die Flockengr{\"o}{\ss}e nur relativ unzuverl{\"a}ssig bestimmen. Zudem sind die zuverl{\"a}ssigsten Methoden sehr rechenintensiv.},
	author = {Hanno Scharr}
}
@mastersthesis {leue1996,
	title = {Ein Verfahren zur Segmentierung von Partikelbildern in der Str{\"o}mungsvisualisierung},
	year = {1996},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Carsten Leue}
}
@mastersthesis {herrmann1996,
	title = {Eine vergleichende Studie zu der HISC-Rechnerarchitektur des Imagine-Rechners},
	year = {1996},
	school = {Fachbereich Informatik, FernUniv. Hagen},
	author = {Helmut Herrmann}
}
@conference {spedding1996,
	title = {Estimating $\omega(k)$ in an unsteady, wind-generated surface wave field from the 2D complex wavelet transform of the surface slope},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {373--382},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14564},
	author = {G. R. Spedding and J. Klinke and S. R. Long},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {muensterer1996a,
	title = {A fluorescence technique to measure concentration profiles in the aqueous mass boundary layer},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {517--522},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13995},
	author = {Thomas M{\"u}nsterer and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@mastersthesis {schimpf1996,
	title = {Fourieranalyse mikroskaliger Temperaturfluktuationen der Wasseroberfl{\"a}che},
	year = {1996},
	school = {University of Heidelberg},
	author = {Uwe Schimpf}
}
@conference {Schnoerr-et-al-96,
	title = {On Globally Asymptotically Stable Continuous-Time CNNs for Adaptive Smoothing of Multidimensional Signals},
	booktitle = {Proc. 4th IEEE Int. Workshop on Cellular Neural Networks and their Applications},
	year = {1996},
	month = {June 24-26},
	address = {Seville, Spain},
	author = {Schn{\"o}rr, C. and Stiehl, H.-S. and Grigat, R.-R.}
}
@conference {scholz1996,
	title = {In-situ determination of cell concentration in bioreactors with a new depth-from-focus technique},
	booktitle = {Proc.\ Optical 3-D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997},
	year = {1996},
	pages = {392--399},
	author = {Thomas Scholz and Bernd J{\"a}hne and H. Suhr and G. Wehnert and P. Geissler and K. Schneider}
}
@mastersthesis {spoerl1996,
	title = {Integration von Fuzzy-Methoden in ein System zur Auswertung von Sensordaten},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Sp{\"o}rl, Andreas}
}
@phdthesis {hering1996,
	title = {Lagrangesche Untersuchungen des Str{\"o}mungsfeldes unterhalb der wellenbewegten Wasseroberfl{\"a}che mittels Bildfolgenanalyse},
	year = {1996},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Frank Hering}
}
@phdthesis {muensterer1996,
	title = {LIF Investigation of the Mechanisms Controlling Air--Water Mass Transfer at a Free Interface},
	year = {1996},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14542},
	author = {Thomas M{\"u}nsterer}
}
@conference {jaehne1996b,
	title = {Measurements of the modulation of short waves from image sequences},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {389--394},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13996},
	author = {Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@mastersthesis {groening1996,
	title = {Mehrgitterbewegungssegmentierung und Messungen am grossen Simulationstank zur Bestimmung von Sedimentverlagerungen},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Hermann Gr{\"o}ning}
}
@phdthesis {haussecker1996,
	title = {Messung und Simulation von kleinskaligen Austauschvorg{\"a}ngen an der Ozeanoberfl{\"a}che mittels Thermographie},
	year = {1996},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14789},
	author = {Horst Hau{\ss}ecker}
}
@book {jaehne1996c,
	title = {Mustererkennung 1996, 18. DAGM-Symposium Heidelberg, 11.{\textendash}13. September 1996},
	year = {1996},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-80294-2},
	author = {Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker},
	editor = {Frank Hering}
}
@conference {hering1996a,
	title = {A novel system for the combined measurement of wave- and flow-fields beneath wind induced water waves},
	booktitle = {Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing},
	volume = {31},
	number = {B5},
	year = {1996},
	pages = {231--236},
	doi = {10.5281/zenodo.14894},
	url = {http://www.isprs.org/proceedings/XXXI/congress/part5/},
	author = {Frank Hering and G{\"u}nther Balschbach and Bernd J{\"a}hne and P. Waldh{\"a}usl},
	editor = {K. Kraus}
}
@phdthesis {klinke1996,
	title = {Optical Measurements of Small-Scale Wind Generated Water Surface Waves in the Laboratory and the Field},
	year = {1996},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {J. Klinke}
}
@mastersthesis {lell1996,
	title = {Ortsaufgel{\"o}ste Bestimmung von Blattwachstum durch Strukturanalyse von Bildsequenzen aus dem nahen Infrarot},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Martin Lell}
}
@conference {Schnoerr-dagm-96,
	title = {Repr{\"a}sentation von Bilddaten mit einem konvexen Variationsansatz},
	booktitle = {Mustererkennung 1996},
	series = {Informatik aktuell},
	year = {1996},
	pages = {21{\textendash}28},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin, Heidelberg},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Gei{\ss}ler, P. and Hau{\ss}ecker, H. and Hering, I.}
}
@techreport {Schnoerr-96,
	title = {Representation of Images by a Convex Variational Diffusion Approach},
	number = {FBI-HH-M-256/96},
	year = {1996},
	month = {Feb.},
	institution = {FB Informatik},
	address = {Universit{\"a}t Hamburg},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1996a,
	title = {The role of active vision in exploring growth, transport, and exchange processes},
	booktitle = {Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996},
	volume = {4},
	year = {1996},
	pages = {194--202},
	publisher = {infix},
	organization = {infix},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Frank Hering and G{\"u}nther Balschbach and J. Klinke and Martin Lell and Dominik Schmund and Michael Schultz and Ulrich Schurr and Mark Stitt and Ulrich Platt},
	editor = {B Mertsching}
}
@conference {leue1996a,
	title = {Segmentierung von Partikelbildern in der Str{\"o}mungsvisualisierung},
	booktitle = {Proceedings of 18th DAGM-Symposium Mustererkennung},
	year = {1996},
	pages = {118--129},
	doi = {10.1007/978-3-642-80294-2_13},
	author = {Carsten Leue and Peter Gei{\ss}ler and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker},
	editor = {Frank Hering and Frank Hering}
}
@article {schurr1996,
	title = {Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis},
	journal = {Botanica Acta},
	volume = {109},
	year = {1996},
	pages = {405--412},
	doi = {10.1111/j.1438-8677.1996.tb00590.x},
	author = {Ulrich Schurr and B. Schuberth and R. Aloni and K. S. Pradel and Dominik Schmund and Bernd J{\"a}hne and C. I. Ullrich}
}
@conference {haussecker1996a,
	title = {A tensor approach for local structure analysis in multi-dimensional images},
	booktitle = {3D Image Analysis and Synthesis},
	year = {1996},
	pages = {171--178},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Girod, G. and H. Niemann and Hans-Peter Seidel}
}
@article {Schnoerr-et-al-computing-96,
	title = {A Variational Approach to the Design of Early Vision Algorithms},
	journal = {Computing Suppl.},
	volume = {11},
	year = {1996},
	pages = {149-165},
	author = {Schn{\"o}rr, C. and Sprengel, R. and Neumann, B.}
}
@mastersthesis {beranek1996,
	title = {Vermessung von Blickpunkten durch automatische Bildanalyse f{\"u}r ergonomische Fragestellungen bei der Fahrzeugkonstruktion},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Beranek, R.}
}
@conference {janssen1996,
	title = {The VIERS scatterometer algorithm},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {749--754},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13994},
	author = {J. A. M. Janssen and C. J. Calkoen and van Halsema, D. and Bernd J{\"a}hne and P. A. E. M. Janssen and W. A. Oost and P. Snoeij and J. Vogelzang and H. Wallbrink},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {klinke1996a,
	title = {Wave number spectra of short wind waves: implications from laboratory studies},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {367--372},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14001},
	author = {J. Klinke and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@proceedings {jaehne1995,
	title = {Air-Water Gas Transfer --- Selected Papers from the Third International Symposium on Air-Water Gas Transfer},
	year = {1995},
	publisher = {AEON},
	doi = {10.5281/zenodo.10571},
	url = {http://www.ub.uni-heidelberg.de/archiv/17063},
	author = {Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@mastersthesis {maier1995,
	title = {Aufbau einer aktiven Bildnachf{\"u}hrung zur Visualisierung von Wasserstr{\"o}mungen mit Tracerteilchen},
	year = {1995},
	note = {IUP D-447},
	school = {University of Heidelberg},
	author = {Maier, Christoph}
}
@mastersthesis {weber1995a,
	title = {Berechnung lokaler Wellenzahl auf Mehrgitterstrukturen mit Anwendung auf Bilder der Wasseroberfl{\"a}che},
	year = {1995},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Weber, Sven}
}
@conference {schmundt1995a,
	title = {The circular wind wave facilities at the University of Heidelberg},
	booktitle = {Air-Water Gas Transfer - Selected papers from the Third International Symposium on Air-Water Gas Transfer},
	year = {1995},
	pages = {505--516},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10404},
	author = {Dominik Schmund and Thomas M{\"u}nsterer and Lauer, H. and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {vliet1995,
	title = {Delft Hydraulics Large Wind-Wave Flume},
	booktitle = {Air-Water Gas Transfer---Selected Papers from the Third International Symposium of Air--Water Gas Transfer in Heidelberg},
	year = {1995},
	pages = {499--502},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10402},
	author = {van Vliet, P. and Frank Hering and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {geissler1995b,
	title = {Depth-from-Focus Verfahren zur absoluten Gr{\"o}{\ss}en- und Konzentrationsbestimmung kleiner Teilchen},
	booktitle = {Bildverarbeitung{\textquoteright}95 - Forschen, Entwickeln, Anwenden},
	year = {1995},
	pages = {365--380},
	publisher = {Technische Akademie Esslingen},
	organization = {Technische Akademie Esslingen},
	doi = {10.5281/zenodo.14710},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Schmidt, C. and H. Suhr and G. Wehnert},
	editor = {Ahlers, R. -J.}
}
@conference {bock1995b,
	title = {Description of the science plan for the April 1995 CoOP experiment, {\textquoteleft}gas transfer in coastal waters{\textquoteright}, performed from the research vessel New Horizon},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {801--810},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10408},
	author = {E. J. Bock and J. B. Edson and Nelson M. Frew and A. Karachintsev and W. R. McGilles and R. K. Nelson and K. Hansen and Bernd J{\"a}hne and T. Hara and B. M. Uz and Bernd J{\"a}hne and Jochen Dieter and J. Klinke and Horst Hau{\ss}ecker},
	editor = {E. C. Monahan}
}
@book {jaehne1995d,
	title = {Digital Image Processing --- Concepts, Algorithms, and Scientific Applications},
	year = {1995},
	publisher = {Springer},
	organization = {Springer},
	edition = {3},
	doi = {10.1007/978-3-662-03174-2},
	url = {http://d-nb.info/945151500},
	author = {Bernd J{\"a}hne}
}
@phdthesis {netsch1995,
	title = {Dreidimensionale Particle Tracking Velocimetry},
	year = {1995},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/945379838},
	author = {T. Netzsch}
}
@conference {muensterer1995,
	title = {Dual-tracer measurements of concentration profiles in the aqueous mass boundary layer},
	booktitle = {Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air--Water Gas Transfer},
	year = {1995},
	pages = {637--648},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10406},
	author = {Thomas M{\"u}nsterer and Hans J{\"u}rgen Mayer and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {haussecker1995d,
	title = {Effiziente Filterstrukturen auf Mehrgitter-Datenstrukturen},
	booktitle = {Bildverarbeitung{\textquoteright}95 - Forschen, Entwickeln, Anwenden},
	year = {1995},
	pages = {43--57},
	publisher = {Technische Akademie Esslingen},
	organization = {Technische Akademie Esslingen},
	doi = {10.5281/zenodo.14709},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and H.-J. K{\"o}hler},
	editor = {Ahlers, R. -J.}
}
@phdthesis {scholz1995,
	title = {Ein Depth from Focus-Verfahren zur On Line-Bestimmung der Zell-kon-zentration bei Fermentationsprozessen},
	year = {1995},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Thomas Scholz}
}
@conference {hering1995d,
	title = {Enhanced turbulence beneath short wind-induced water waves as derived from Lagrangian flow fields},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {386},
	abstract = {Breaking waves and wind stress are a primary source for near-surface turbulence. Particle Tracking Velocimetry (PTV) was used developed to study turbulence beneath short wind-induced waterwaves at the circular wind-wave facility of the Institute for Environmental Physics. A thick light sheet (1-4 cm) was applied to illuminate small polystyrol seeding particles. The depth of the light sheet was chosen such that the particles stay long enough in the illuminated area to enable tracking over several wave periods. The flow field is observed by a digital CCD camera. Recording image sequences at up to 200 Hz allow an extensive study of the flow field. An automatic tracking algorithm was developed for the evaluation of the trajectories. Lagrangian flow field measurements offer an ideal approach to the study of drift profiles in the turbulent wave region, in addition yielding the thickness of that layer. Also bulk velocity and surface velocities can be derived. A measure for the turbulence was gained by the calculation of the friction velocity profile by correlating horizontal and vertical velocity components (eddy correlation technique). These profiles show a very interesting behavior. While the friction velocity profile is constant in the bulk, an abrupt enhancement of Reynolds stress from the bulk towards the water surface up to a factor of 10 is observed. The enhanced dissipation of kinetic energy beneath strong-breaking surface waves under fetch conditions was measured at Lake Ontario. Here, an enhancement dissipation factor of 5-60 was found. Our measurements now indicate that micro-scale wave breaking is sufficient to produce significant turbulence enhancement. This result contributes significantly to the understanding of gas exchange through the aqueous boundary layer and indicates that wave/turbulence interaction deserves further more detailed attention.},
	author = {Frank Hering and Dietmar Wierzimok and Bernd J{\"a}hne}
}
@mastersthesis {mayer1995,
	title = {Entwicklung einer laserinduzierten Fluoreszenz-Technik zum Messen von Konzentrationsprofilen und Diffusionskonstanten},
	year = {1995},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	author = {Hans J{\"u}rgen Mayer}
}
@conference {hering1995c,
	title = {Flow- and wave-fields associated with micro-scale wave breaking as measured simultaneously by particle tracking and wave slope visualization},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {385},
	abstract = {Longuet-Higgins predicted the development of a capillary roller at the crest of a short gravity wave, being the consequence of the existence of parasitic capillaries, (Capillary rollers and bores, J. Fluid Mech, Jan. 1992). According to the theory any free surface, at which the tangential stress vanishes, a surface vorticity is produced. The mean vorticity at the edge of the Stokes layer is of the order of 2(ak) f, ak being the slope and f the radian frequency of the wave. Hence capillary waves, with a high value of a are accompanied by particular large vorticity feeding the vortex roler at the crest of a short gravity wave. This phenomenon has been investigated at the circular facility of the Institute for Environmental Physics. At the same location, simultaneous time series of wave slope images and the Lagrangian flow field were obtained using an integrated optical set-up, including particle-tracking and wave-slope instruments. The particle tracking measurement yields drift- and bulk-velocities, Reynold stresses and the vorticity distribution beneath the wave, while the imaging wave slope gauges gives the 2D-slope and the height of the waves. First results from the measurement campaign of early 1995 will be presented.},
	author = {Frank Hering and G{\"u}nther Balschbach and M. Menzel and Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {haussecker1995a,
	title = {Heat as a proxy tracer for gas exchange measurements in the field: principles and technical realization},
	booktitle = {Air--Water Gas Transfer: Selected Papers from the Third International Symposium on Air--Water Gas Transfer},
	year = {1995},
	pages = {405--413},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10401},
	author = {Horst Hau{\ss}ecker and Reinelt, S. and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {netzsch1995,
	title = {A high-performance system for 3-dimensional particle tracking velocimetry in turbulent flow research using image sequences},
	booktitle = {Proc. ISPRS Intercommission workshop From Pixels to Sequences, Z{\"u}rich, March 22-24},
	volume = {30 Part 5W1},
	year = {1995},
	pages = {202--207},
	publisher = {Risc Books},
	organization = {Risc Books},
	doi = {10.5281/zenodo.14892},
	author = {T. Netzsch and Bernd J{\"a}hne},
	editor = {Baltsavias, E. P.}
}
@conference {haussecker1995c,
	title = {Horizontal and vertical spatial structures of turbulence beneath short wind waves},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {384},
	abstract = {A poorly understood aspect of surface-wave physics is wave dissipation. Wave breaking may lead to enhanced turbulence levels and consequently enhanced viscous dissipation at the smallest scales. Recent laboratory, field and modelling studies have provided preliminary evidence that wave breaking may lead to dissipation levels one to two orders of magnitude greater than those in the classical logarithmic layer. However, the experimental techniques to study these phenomena are not well developed, and consequently the turbulence structure near the water surface is poorly understood. A method is described to simultaneously investigate the horizontal and vertical structure of the turbulent flow and wave fields at the water surface and in an intersecting two-dimensional vertical plane. The technique combines an active infrared technique (CFT) in the horizontal plane with digital particle imaging velocimetry (DPIV) in the vertical plane. The DPIV uses a CCD camera in an underwater housing to track submerged particles moving through a pulsed vertical laser light sheet aligned in the wind direction. The CFT uses infrared radiators to heat up the upper 20 micrometres of the water column and observes the resulting heat patterns with an infrared camera. Both instruments use digital image processing techniques to compute the flow variables and images of the turbulent structures. These initial experiments were conducted in the large wind-wave channel at Delft Hydraulics, The Netherlands, in September/October, 1994. The images show a dramatic transition from laminar to turbulent flow with the onset of significant wave activity coincident with vorticity transport from the surface to deeper layers.},
	author = {Horst Hau{\ss}ecker and R. Shear and W. K. Melville and Bernd J{\"a}hne}
}
@conference {jaehne1995a,
	title = {An imaging optical technique for bubble measurements},
	booktitle = {Proc. Sea Surface Sound {\textquoteright}94},
	year = {1995},
	pages = {290--296},
	publisher = {World Scientific},
	organization = {World Scientific},
	doi = {10.1142/9789814447102_0019},
	author = {Bernd J{\"a}hne and Peter Gei{\ss}ler},
	editor = {Buckingham, M. J. and Potter, J. R.}
}
@conference {jaehne1995b,
	title = {Impact of quantitative visualization and image processing on the study of small-scale air-sea interaction},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {3--12},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10326},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {scholz1995a,
	title = {In situ determination of cell concentration in bioreactors with a new depth from focus technique},
	booktitle = {Computer Analysis of Images and Patterns},
	volume = {970},
	year = {1995},
	pages = {392--399},
	publisher = {Springer},
	organization = {Springer},
	abstract = {A new depth-from-focus technique is introduced that requires only a single image to determine the distance of simple shaped objects from the focal plane. The technique has been applied to evaluate the concentration of cells in a bioreactor during a fermentation process. Since the low-intensity fluorescent light gathered by a light-amplifying camera results in images of low signal-to-noise ratio, an adaptive smoothing filter is used. A sharpness criterion derived from bandpass decomposition of the image in a Laplacian pyramid is used to define a virtual measuring volume. In this volume, process parameters such as cell concentration, cell size and intensity of cell fluorescence are evaluated. The technique is also suitable for other types of simple objects.},
	doi = {10.1007/3-540-60268-2_321},
	author = {Thomas Scholz and Bernd J{\"a}hne and H. Suhr and G. Wehnert and P. Geissler and K. Schneider}
}
@conference {haussecker1995,
	title = {In situ measurements of the air-sea gas transfer rate during the MBL/CoOP west coast experiment},
	booktitle = {Air-Water Gas Transfer - Selected Papers from the Third International Symposium on Air-Water Gas Transfer},
	year = {1995},
	pages = {775--784},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10407},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@article {suhr1995a,
	title = {In-situ microscopy for on-line characterization of cell-populations in bioreactors, including concentration measurements by depth from focus},
	journal = {Biotechnology and Bioengineering},
	volume = {47},
	year = {1995},
	pages = {106--116},
	abstract = {A new technique is presented which allows the use of a front-end sensor head for in situ and on-line characterization of cell concentration and cell size during fermentation. An epifluorescence microscope is mounted in a port of a bioreactor viewing directly into the agitated broth. Still images from cells are generated using pulsed illumination. They are directly visualized on a monitor and used for automatic image analysis. The cell concentration and morphological information are determined by counting and evaluating the cell images with respect to their depth from focus characteristic. An in situ microscope was successfully tested during yeast fermentations and yielded results which correlated well with results from a hemocytometer.},
	doi = {10.1002/bit.260470113},
	author = {H. Suhr and G. Wehnert and K. Schneider and C. Bittner and Thomas Scholz and Peter Gei{\ss}ler and Bernd J{\"a}hne and T. Scheper}
}
@conference {haussecker1995b,
	title = {Interaction of short wind waves and turbulent shear flow as revealed by simultaneous wave slope and surface turbulence visualization},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {387},
	abstract = {Much work has been undertaken to understand the energy balance of wind waves, but almost no studies about the interaction between waves and turbulence are available up to now. In order to observe waves and surface turbulence simultaneously, measurements were performed in the large wind wave flume of Delft Hydraulics, The Netherlands. A new instrumental setup was used, combining an imaging slope gauge (ISG) with an active infrared technique (CFT). The ISG records time series of the two-dimensional slope within an image sector of 0.4m by 0.4m and a temporal resolution of 16ms. With the CFT, infrared radiators are used to force a constant heat flux through the water surface. The resulting surface temperature within the first 20 fim is observed with a Radiance 1 focal plane array IR camera in the 3-5um wavelenght range. With digital image processing techniques the dynamical behaviour of the water surface can be extracted. The resulting image sequences of temperature patterns are used to compute the 2-D flow field at the water surface. The flow field and wave slope image sequences reveal the significant influence of the turbulence distribution on the shape of the short wind waves. By analyzing properties of the wave field as wave length and phase velocity provided by the ISG the spatial structures of the surface waves can be compared with the scales of the turbulence structures and their dynamics.},
	author = {Horst Hau{\ss}ecker and Markus Beyer and Bernd J{\"a}hne}
}
@mastersthesis {bremeyer1995,
	title = {Lokale Orientierung zur Auswertung von Streakbildern},
	year = {1995},
	note = {IUP D-426},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	author = {Roland Bremeyer}
}
@conference {geissler1995,
	title = {Measurements of bubble size distributions with an optical technique based on depth from focus},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {351--362},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10400},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {hering1995b,
	title = {Measurements of enhanced turbulence in short wind-induced water waves},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {775--784},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10328},
	author = {Frank Hering and Dietmar Wierzimok and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {klinke1995,
	title = {Measurements of short ocean waves during the MBL ARI West Coast Experiment},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {165--173},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10399},
	author = {J. Klinke and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {dieter1995,
	title = {Measurements of velocity profiles in the aqueous boundary layer at a wind-driven water surface},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {145--152},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10393},
	author = {Jochen Dieter and Frank Hering and Roland Bremeyer and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@mastersthesis {braess1995,
	title = {Messungen der Kr{\"u}mmungsverteilung von Wasseroberfl{\"a}chenwellen mittels digitaler Bildverarbeitung},
	year = {1995},
	school = {Universit{\"a}t Heidelberg},
	author = {Braess, Henning}
}
@conference {Schnoerr-Peckar-95,
	title = {Motion-Based Identification of Deformable Templates},
	booktitle = {Proc. 6th Int. Conf. on Computer Analysis of Images and Patterns (CAIP {\textquoteright}95)},
	series = {Lect. Notes in Comp. Sci.},
	volume = {970},
	year = {1995},
	month = {Sept. 6-8},
	pages = {122-129},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	address = {Prague, Czech Republic},
	author = {Schn{\"o}rr, C. and Peckar, W.},
	editor = {V. Hlav{\'a}{\v c}, R. {\v S}{\'a}ra}
}
@conference {klinke1995b,
	title = {A new instrument for the optical measurement of the fine structure of the water surface in the field},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {388},
	abstract = {The measurement of the fine structure of the ocean surface constitutes a difficult task. Here, we describe the technical details of a new instrument that allows the full reconstruction of the water surface with sub-millimeter spatial resolution in areas of up to of 15cm x 20cm The single camera system is based on the imaging slope gauge used in previous laboratory experiments to obtain a single slope component of the water surface. The light source was modified such that two arrays of light emitting diodes (LEDs) are used to produce intensity gradients at right anglesJn order to obtain both slope components of the water surface with a monochrome CCD camera, the LED arrays are illuminated successively within a few milliseconds. The whole system is mounted on a the frame of a buoy which follows the orbital motion of the long waves and is critically damped to prevent instability in rougher conditions. Even at high wind speeds, the ambient wave field is not disturbed by the structure. The onboard computer for data acquisition and image processing is remotely controlled from a ship. Battery power allows free-floating operation for a duration of approximately eight hours. In addition to the optical wave slope gauge, the instrument contains a digital gyro sensor which collects stabilized pitch, roll, and magnetic azimuth data, a Young wind speed anemometer, as well as global positioning and temperature sensors.},
	author = {J. Klinke and Bernd J{\"a}hne}
}
@conference {balschbach1995,
	title = {A new instrument to measure steep wind-waves},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {387},
	abstract = {Current instruments to measure the spatial structure of short waves are limited to quite low slopes. Capillary waves, however, may show slopes well above one (45 degrees inclination). A new instrument has been designed to measure the spatial structure of steep capillary waves. It was designed to specifically address a number of basic questions: Is the limiting form for Crapper capillary waves ever reached? Can a bubble be trapped by such a wave? Do solitary capillary/gravity waves - as recently postulated by Longuet-Higgins - exist in wind/wave fields? The instrument uses the basic design as used in previous instruments of our research group but includes two important enhancements. By the use of a telecentric illumination and camera lens, the influence of wave height on the slope measurement is eliminated. Colored light is used to encode both slope components simultaneously and to correct for uneven intensity distribution in the light source and intensity losses by reflection at the water surface. This contribution describes the setup of the instrument and its calibration in detail. First results from the circular wind/wave facility at Heidelberg University are reported in a separate paper.},
	author = {G{\"u}nther Balschbach and M. Menzel and Bernd J{\"a}hne}
}
@conference {scheuermann1995,
	title = {Oberfl{\"a}chenkonturvermessung mikroskopischer Objekte durch Projektion statistischer Rauschmuster},
	booktitle = {Proc. 17. DAGM-Symposium Mustererkennung, Bielefeld, 13.-15. September 1995},
	year = {1995},
	pages = {319--326},
	author = {Scheuermann, T. and Pfundt, G. and Eyerer, P. and Bernd J{\"a}hne}
}
@conference {geissler1995a,
	title = {One-image depth-from-focus for concentration measurements},
	booktitle = {Proc. ISPRS Intercommission Workshop {\textquoteleft}From Pixels to Sequences{\textquoteright}, Zurich, March 22 - 24, 1995, In Int{\textquoteright}l Arch. of Photog. and Rem. Sens.},
	volume = {XXX-5W1},
	year = {1995},
	pages = {122--127},
	publisher = {RISC Books},
	organization = {RISC Books},
	doi = {10.5281/zenodo.14891},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne},
	editor = {Baltsavias, E. P.}
}
@conference {hering1995a,
	title = {Particle tracking in space time sequences},
	booktitle = {Computer Analysis of Images and Patterns},
	volume = {970},
	year = {1995},
	pages = {294--301},
	publisher = {Springer},
	organization = {Springer},
	abstract = {A particle tracking technique at high particle concentration for the evaluation of flow fields beneath water waves is described. A 1-4 cm thick light sheet parallel to the main wave propagation direction was used to illuminate small polystyrol seeding particles. The depth of the light sheet was chosen such that the particles stay long enough in the illuminated area to enable tracking. An area of up to 14.0x10.0 cm2 is observed by a CCD camera. An automatic tracking algorithm is described to 800 particles/image, yielding both Lagrangian and Eulerian vector field. Test measurements show that the standard deviation for the velocity estimation is below 3\%.},
	doi = {10.1007/3-540-60268-2_309},
	author = {Frank Hering and Merle, M. and Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {hering1995,
	title = {A robust technique for tracking particles over long image sequences},
	booktitle = {Proc. ISPRS Intercommission Workshop {\textquoteleft}From Pixels to Sequences{\textquoteright}, Zurich, March 22 - 24, 1995, In Int{\textquoteright}l Arch. of Photog. and Rem. Sens.},
	volume = {XXX-5W1},
	year = {1995},
	pages = {74--79},
	publisher = {RISC Books},
	organization = {RISC Books},
	doi = {10.5281/zenodo.14890},
	author = {Frank Hering and Merle, M. and Dietmar Wierzimok and Bernd J{\"a}hne},
	editor = {Baltsavias, E. P.}
}
@conference {klinke1995a,
	title = {Spatial measurement of short ocean waves during the MBL-ARI West Coast Experiment},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {390},
	abstract = {During the MBL-ARI West Coast Experiment in April 1995 a new instrument for the optical measurement of ocean waves in the capillary-gravity and capillary range will be deployed. The optical system is mounted on the frame of a wave follower, and provides digital images of the water surface gradient in an area of 15cm X 20cm with submillimeter resolution at sampling rates of up to lOOHz. From single gradient images, the height of the water surface is reconstructed, and from the time sequences, intermittent phenomena such as microscale wave breaking can be studied. The instrument will be used in conjunction with the scanning laser slope gauge on the LADAS research catamaran from Woods Hole Oceanographic Institute. The intercomparison of the data allows an accurate performance assessment of both systems.In addition to the surface gradient image sequences, long wave data, wind speeds, as well as air and water temperatures will be collected. We present first results from the MBL-ARI West Coast Experiment, including directional wave number spectra, directional wave number-frequency spectra, surface reconstructions, and 2-D slope distributions of short ocean waves.},
	author = {J. Klinke and Bernd J{\"a}hne}
}
@book {jaehne1996,
	title = {Technische Bildverarbeitung - Maschinelles Sehen},
	year = {1995},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-61403-3},
	url = {http://d-nb.info/94569895X},
	author = {Bernd J{\"a}hne and R. Massen and B. Nickolay and H. Scharfenberg}
}
@mastersthesis {fachat1995,
	title = {Untersuchung eines 3D-Aufnahmeverfahrens f{\"u}r Str{\"o}mungsvorg{\"a}nge an der Wasseroberfl{\"a}che},
	year = {1995},
	note = {IUP D-436},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	author = {Andre Fachat}
}
@conference {frew1995a,
	title = {Variation of air--water gas transfer with wind stress and surface viscoelasticity},
	booktitle = {Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air-Water Gas Transfer},
	year = {1995},
	pages = {529--541},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10405},
	author = {Nelson M. Frew and E. J. Bock and W. R. McGilles and A. Karachintsev and T. Hara and Thomas M{\"u}nsterer and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {jaehne1995e,
	title = {Vision for waves},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {391},
	abstract = {For almost a century, researchers have tried to use imaging techniques for spatial measurement of short wind waves. A comparative survey of these techniques is given. The early techniques were all based on stereo imaging, while more recently shape from reflection (Stilwell photography) and shape from refraction techniques such as laser scanning slope gauges and imaging surface gradient methods have been used by a number of researchers. Theoretical analysis and experimental evidence clearly show that the shape from refraction techniques are the most suitable method for spatial measurements of short gravity and capillary waves. Although these techniques give an unprecedented insight into the dynamics of short wind waves, only digital image processing techniques open the way for a quantitative analysis. A number of techniques beyond Fourier analysis including scale-space analysis, Hilbert transformation, and various advanced filter techniques are envisioned to have a major impact in the near future.},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {schmundt1995,
	title = {Voruntersuchung der Einsatzm{\"o}glichkeiten digitaler Bildverarbeitung zur Analyse von Transportvorg{\"a}ngen und Wachstumsprozessen in Pflanzen},
	year = {1995},
	note = {IUP D-422},
	school = {University of Heidelberg},
	author = {Dominik Schmund}
}
@conference {jaehne1995c,
	title = {Zuverl{\"a}ssig, Schnell und Genau? - Bedeutung von Algorithmen in der Bildverarbeitung f{\"u}r die Praxis},
	booktitle = {Bildverarbeitung{\textquoteright}95 - Forschen, Entwickeln, Anwenden},
	year = {1995},
	pages = {3--14},
	publisher = {Technische Akademie Esslingen},
	organization = {Technische Akademie Esslingen},
	doi = {10.5281/zenodo.14708},
	author = {Bernd J{\"a}hne},
	editor = {Ahlers, R. -J.}
}
@conference {jaehne1994,
	title = {Analytical studies of low-level motion estimators in space-time images using a unified filter concept},
	booktitle = {Proc. Conference on Computer Vision and Pattern Recognition (CVPR {\textquoteright}94), Seattle, 20.-23. June 1994},
	year = {1994},
	pages = {229--236},
	doi = {10.1109/CVPR.1994.323834},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {reinelt1994,
	title = {Bestimmung der Transfergeschwindigkeit mittels CFT mit W{\"a}rme als Tracer},
	year = {1994},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Reinelt, S.}
}
@conference {Schnoerr-dagm-94,
	title = {Bewegungssegmentation von Bildfolgen durch die Minimierung konvexer nicht-quadratischer Funktionale},
	booktitle = {Mustererkennung 1994},
	series = {Informatik Xpress},
	volume = {5},
	year = {1994},
	month = {September},
	pages = {178{\textendash}185},
	publisher = {Technische Universit{\"a}t Wien},
	organization = {Technische Universit{\"a}t Wien},
	author = {Schn{\"o}rr, C.},
	editor = {Kropatsch, W.G. and Bischof, H.}
}
@article {jaehne1994a,
	title = {Bildverarbeitung f{\"u}r die Meeresforschung},
	journal = {Ruperto Carola},
	number = {3},
	year = {1994},
	pages = {10--15},
	doi = {10.5281/zenodo.14915},
	url = {http://www.uni-heidelberg.de/uni/presse/rc7/2.html},
	author = {Bernd J{\"a}hne}
}
@conference {Heikkonen-icpr-94,
	title = {Building Trajectories via Selforganization from Spatiotemporal Features},
	booktitle = {12th Int. Conf. on Pattern Recognition},
	year = {1994},
	month = {Oct 9-13},
	address = {Jerusalem, Israel},
	author = {Heikkonen, J. and Koikkalainen, P. and Schn{\"o}rr, C.}
}
@booklet {waas1994,
	title = {Combined height/slope/curvature measurements of short ocean wind waves},
	year = {1994},
	author = {Stefan Waas and Bernd J{\"a}hne}
}
@conference {jaehne1994b,
	title = {A comparative analytical study of low-level motion estimators in space-time images},
	booktitle = {Proc. 16. DAGM-Symposium Mustererkennung},
	year = {1994},
	doi = {10.5281/zenodo.14887},
	author = {Bernd J{\"a}hne}
}
@conference {jaehne1994c,
	title = {Depth from focus with one image},
	booktitle = {Proc. Conference on Computer Vision and Pattern Recognition (CVPR {\textquoteright}94), Seattle, 20.-23. June 1994},
	year = {1994},
	pages = {713--717},
	doi = {10.1109/CVPR.1994.323885},
	author = {Bernd J{\"a}hne and Peter Gei{\ss}ler}
}
@conference {Sprengel-Schnoerr-dagm-94,
	title = {Detection of Visual Data Transitions in Nonlinear Parameter Space},
	booktitle = {Mustererkennung 1994},
	series = {Informatik Xpress},
	volume = {5},
	year = {1994},
	month = {September},
	pages = {315{\textendash}323},
	publisher = {Technische Universit{\"a}t Wien},
	organization = {Technische Universit{\"a}t Wien},
	author = {Sprengel, R. and Schn{\"o}rr, C. and Neumann, B.},
	editor = {Kropatsch, W.G. and Bischof, H.}
}
@conference {dieter1994a,
	title = {Flow measurements close to the free air/sea interface},
	booktitle = {Proceedings of the 7th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994},
	volume = {II},
	year = {1994},
	pages = {22.2.1--6},
	author = {Jochen Dieter and Roland Bremeyer and Frank Hering}
}
@mastersthesis {kandlbinder1994,
	title = {Gasaustauschmessungen mit Sauerstoff},
	year = {1994},
	note = {IUP D-385},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Thomas Kandlbinder}
}
@article {jaehne1994d,
	title = {Imaging of short ocean wind waves: a critical theoretical review},
	journal = {J. Opt. Soc. Am. A},
	volume = {11},
	year = {1994},
	pages = {2197--2209},
	abstract = {Optical techniques to measure the small-scale shape of the ocean surface, i.e., the short wind waves, are theoretically reviewed. The well-known shape-from-shading and shape-from-stereo paradigms from computer vision are applied to a specular reflecting surface such as the ocean surface and are used to study a variety of techniques. The analysis shows that most techniques for the imaging of short wind waves, such as Stilwell photography and various stereo techniques, have significant deficiencies. Stereophotography is plagued by insufficient height resolution for small waves and by the problem that, because of the specular nature of reflection at the water surface, features seen in one image are not necessarily found in the other (correspondence problem). Techniques based on light reflection (shape from reflection) are useful only for deriving wave-slope statistics, and techniques based on light refraction (shape from refraction) are found to be most suitable for wave slope imaging.},
	doi = {10.1364/JOSAA.11.002197},
	author = {Bernd J{\"a}hne and J. Klinke and Stefan Waas}
}
@conference {hausecker1994,
	title = {In-situ measurements of the air-sea gas transfer using heat as a proxy tracer},
	booktitle = {Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994},
	year = {1994},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {beyer1994,
	title = {Laboratory studies of long-wave/short-wave interaction using wavelet analysis of space-time images},
	booktitle = {Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994},
	year = {1994},
	author = {Markus Beyer and Bernd J{\"a}hne and W. K. Melville}
}
@conference {muensterer1994,
	title = {A LIF technique for the measurement of concentration profiles in the aqueous mass boundary layer},
	booktitle = {Proc.\ 7th Intern.\ Symp.\ on Appl.\ of Laser Techn.\ to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994},
	volume = {II},
	year = {1994},
	pages = {29.4.1--5},
	author = {Thomas M{\"u}nsterer and Bernd J{\"a}hne}
}
@conference {klinke1994,
	title = {Measurements of the small-scale structure of the water surface with a new optical instrument},
	booktitle = {Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994},
	year = {1994},
	author = {J. Klinke and Bernd J{\"a}hne}
}
@mastersthesis {lauer1994,
	title = {Messung der Neigungsverteilung von Wasseroberfl{\"a}chenwellen mittels digitaler Bilverarbeitung},
	year = {1994},
	note = {IUP D-382},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Lauer, H.}
}
@mastersthesis {dieter1994,
	title = {Messung von Str{\"o}mungen in der viskosen Grenzschicht an der Wasseroberfl{\"a}che},
	year = {1994},
	note = {IUP D-413},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Jochen Dieter}
}
@conference {scholz1994,
	title = {A new depth from focus technique for in situ determination of cell concentration in bioreactors},
	booktitle = {Proc. 16. DAGM-Symposium Mustererkennung},
	year = {1994},
	pages = {145--150},
	doi = {10.5281/zenodo.14888},
	author = {Thomas Scholz and Bernd J{\"a}hne and H. Suhr and G. Wehnert and Peter Gei{\ss}ler and K. Schneider}
}
@article {Schnoerr-Sprengel-bcyb-94,
	title = {A Nonlinear Regularization Approach to Early Vision},
	journal = {Biol. Cybernetics},
	volume = {72},
	year = {1994},
	pages = {141{\textendash}149},
	author = {Schn{\"o}rr, C. and Sprengel, R.}
}
@conference {Schnoerr-icpr-94,
	title = {Segmentation of Visual Motion by Minimizing Convex Non-Quadratic Functionals},
	booktitle = {12th Int. Conf. on Pattern Recognition},
	year = {1994},
	month = {Oct 9-13},
	address = {Jerusalem, Israel},
	author = {Schn{\"o}rr, C.}
}
@mastersthesis {wolf1994,
	title = {Surface Properties of Breaking Water Waves},
	year = {1994},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Wolf, Christian}
}
@article {Schnoerr-jmiv-94,
	title = {Unique Reconstruction of Piecewise Smooth Images by Minimizing Strictly Convex Non-Quadratic Functionals},
	volume = {4},
	year = {1994},
	pages = {189{\textendash}198},
	author = {Schn{\"o}rr, C.}
}
@mastersthesis {balschbach1994,
	title = {Verschiedene Verfahren zur Visualisierung und Gr{\"o}{\ss}enbestimmung von Gasblasen in Wasser},
	year = {1994},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14562},
	author = {G{\"u}nther Balschbach}
}
@booklet {jaehne1993i,
	title = {Air-sea gas exchange},
	year = {1993},
	author = {Bernd J{\"a}hne}
}
@conference {Schnoerr-et-al-93,
	title = {Architekturkonzepte zur Bildauswertung},
	booktitle = {Grundlagen und Anwendungen der K{\"u}nstlichen Intelligenz, 17. Fachtagung f{\"u}r K{\"u}nstliche Intelligenz},
	year = {1993},
	pages = {268{\textendash}274},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin},
	author = {Schn{\"o}rr, C. and Niemann, H. and Kopecz, J.},
	editor = {Herzog, O. and Christaller, T. and Sch{\"u}tt, D.}
}
@mastersthesis {geissler1993,
	title = {Depth-from-focus Bildanalyseverfahren zur Messung der Konzentration und Gr{\"o}{\ss}e von Blasen und Mikroorganismen},
	year = {1993},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Peter Gei{\ss}ler}
}
@conference {geissler1993a,
	title = {Depth-from-focus zur Bestimmung der Konzentration und Gr{\"o}{\ss}e von Gasblasen},
	booktitle = {Proc. 15. DAGM-Symposium Mustererkennung},
	year = {1993},
	note = {DAGM award},
	pages = {560--567},
	publisher = {Springer},
	organization = {Springer},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and S. J. P{\"o}ppl},
	editor = {H. Handels}
}
@book {jaehne1993h,
	title = {Digital Image Processing --- Concepts, Algorithms, and Scientific Applications},
	year = {1993},
	publisher = {Springer},
	organization = {Springer},
	edition = {2},
	doi = {10.1007/978-3-662-21817-4},
	url = {http://d-nb.info/931193567},
	author = {Bernd J{\"a}hne}
}
@book {jaehne1993g,
	title = {Digitale Bildverarbeitung},
	year = {1993},
	publisher = {Springer},
	organization = {Springer},
	edition = {3},
	doi = {10.1007/978-3-662-22662-9},
	url = {http://d-nb.info/931125731},
	author = {Bernd J{\"a}hne}
}
@article {Rohr-Schnoerr-ivc-93,
	title = {An Efficient Approach to the Identification of Characteristic Intensity Variations},
	volume = {11},
	number = {5},
	year = {1993},
	pages = {273{\textendash}277},
	author = {Rohr, Karl and Christoph Schn{\"o}rr}
}
@conference {haussecker1993a,
	title = {Ein Mehrgitterverfahren zur Bewegungssegmentierung in Bildfolgen},
	booktitle = {Proc. 15. DAGM-Symposium Mustererkennung},
	year = {1993},
	pages = {27--31},
	doi = {10.5281/zenodo.14549},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {netzsch1993,
	title = {Ein schnelles Verfahren zur L{\"o}sung des Stereokorrepondenzproblems bei der 3D-Particle Tracking Velocimetry},
	booktitle = {Proc. 15. DAGM-Symposium Mustererkennung},
	year = {1993},
	author = {T. Netzsch and Bernd J{\"a}hne}
}
@article {Schnoerr-pami-93,
	title = {On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow},
	journal = {pami},
	volume = {15},
	number = {10},
	year = {1993},
	pages = {1074{\textendash}1079},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1993,
	title = {Image sequence analysis of ocean wind waves},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {257--268},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne and J. Klinke and Peter Gei{\ss}ler and Frank Hering},
	editor = {S. Sideman and K. Hijikata}
}
@conference {jaehne1993a,
	title = {Imaging of gas transfer across gas/liquid interfaces},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {247--256},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne},
	editor = {S. Sideman and K. Hijikata}
}
@mastersthesis {haussecker1993,
	title = {Mehrgitter-Bewegungssegmentierung in Bildfolgen mit Anwendung zur Detektion von Sedimentverlagerungen},
	year = {1993},
	note = {IUP D-409},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14550},
	author = {Horst Hau{\ss}ecker}
}
@mastersthesis {muensterer1993,
	title = {Messung von Konzentrationsprofilen gel{\"o}ster Gase in der wasserseitigen Grenzschicht},
	year = {1993},
	note = {IUP D-334},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14538},
	author = {Thomas M{\"u}nsterer}
}
@conference {jaehne1993c,
	title = {New trends in image processing hard- and software},
	booktitle = {Proceedings Image Analysis for Pulp and Paper Research and Production},
	year = {1993},
	note = {Invited},
	pages = {1--12},
	author = {Bernd J{\"a}hne}
}
@conference {Sprengel-Schnoerr-dagm-93,
	title = {Nichtlineare Diffusion zur Integration visueller Daten - Anwendung auf Kernspintomogramme},
	booktitle = {Mustererkennung 1993, 15. DAGM-Symposium},
	year = {1993},
	pages = {134{\textendash}141},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Sprengel, R. and Schn{\"o}rr, C.},
	editor = {P{\"o}ppl, S.J. and Handels, H.}
}
@conference {wierzimok1993,
	title = {Quantitative imaging of transport in fluids with digital particle tracking velocimetry},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {297--308},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Dietmar Wierzimok and Frank Hering},
	editor = {S. Sideman and K. Hijikata}
}
@conference {jaehne1993d,
	title = {Shape from shading techniques for short ocean wind waves},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {269--281},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne and Stefan Waas and J. Klinke},
	editor = {S. Sideman and K. Hijikata}
}
@book {jaehne1993e,
	title = {Spatio-Temporal Image Processing: Theory and Scientific Applications},
	volume = {751},
	year = {1993},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	doi = {10.1007/3-540-57418-2},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {schaum1993,
	title = {Subpixelgenaue Positionsbestimmungen in digitalen Bildern},
	year = {1993},
	note = {IUP D-376},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Schaum, M.}
}
@mastersthesis {beyer1993,
	title = {Untersuchung der Relaxationszeiten von winderzeugten Wasseroberfl{\"a}chenwellen durch periodische Variation der Windgeschwindigkeit},
	year = {1993},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Markus Beyer}
}
@conference {janssen1993,
	title = {The VIERS scatterometer algorithm},
	booktitle = {Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1993},
	pages = {749--754},
	publisher = {University of Miami},
	organization = {University of Miami},
	doi = {10.5281/zenodo.13994},
	author = {J. A. M. Janssen and C. J. Calkoen and van Halsema, D. and Bernd J{\"a}hne and P. A. E. M. Janssen and W. A. Oost and P. Snoeij and J. Vogelzang and H. Wallbrink},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@article {jaehne1993f,
	title = {Wellenamplitudenmessungen mittels videometrischer Bildverarbeitung},
	journal = {Mitteilungsblatt der Bundesanstalt f{\"u}r Wasserbau},
	volume = {70},
	year = {1993},
	pages = {27--62},
	author = {Bernd J{\"a}hne and H.-J. K{\"o}hler and Ralf Rath and Dietmar Wierzimok}
}
@conference {klinke1992,
	title = {2D wave number spectra of short wind waves: results from wind-wave facilities and extrapolation to the ocean},
	booktitle = {Optics of the Air-Sea Interface: Theory and Measurement},
	volume = {1749},
	year = {1992},
	pages = {245-257},
	doi = {10.1117/12.138853},
	author = {J. Klinke and Bernd J{\"a}hne},
	editor = {L. Estep}
}
@mastersthesis {rath1992,
	title = {Amplitudenmessung von Wasseroberfl{\"a}chenwellen mittels digitaler Bildanalyse},
	year = {1992},
	note = {IUP D-306},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Ralf Rath}
}
@conference {jaehne1992a,
	title = {Calibration and accuracy of optical slope measurements for short wind waves},
	booktitle = {Optics of the Air-Sea Interface: Theory and Measurements},
	volume = {1749},
	year = {1992},
	pages = {222--233},
	doi = {10.1117/12.138851},
	author = {Bernd J{\"a}hne and H. Schultz},
	editor = {L. Estep}
}
@conference {waas1992a,
	title = {Combined slope-height measurements of short wind waves: first results from field and laboratory measurements},
	booktitle = {Optics of the Air-Sea Interface: Theory and Measurements},
	volume = {1749},
	year = {1992},
	pages = {295--306},
	doi = {10.1117/12.138858},
	author = {Stefan Waas and Bernd J{\"a}hne},
	editor = {L. Estep}
}
@conference {halsema1992,
	title = {Comparisons of backscattering calculations with measurements made in a large wind/wave flume},
	booktitle = {Proc. IGARSS{\textquoteright}92},
	volume = {2},
	year = {1992},
	pages = {1451--1453},
	doi = {10.1109/IGARSS.1992.578480},
	author = {van Halsema, D. and C. J. Calkoen and W. A. Oost and P. Snoeij and J. Vogelzang and Bernd J{\"a}hne}
}
@article {Schnoerr-ijcv-92,
	title = {Computation of Discontinuous Optical Flow by Domain Decomposition and Shape Optimization},
	journal = {ijcv},
	volume = {8},
	number = {2},
	year = {1992},
	pages = {153{\textendash}165},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1992,
	title = {A critical theoretical review of optical techniques for short ocean wave measurements},
	booktitle = {Optics of the Air-Sea Interface: Theory and Measurements},
	volume = {1749},
	year = {1992},
	pages = {204--215},
	doi = {10.1117/12.138849},
	author = {Bernd J{\"a}hne and Stefan Waas and J. Klinke},
	editor = {L. Estep}
}
@conference {netzsch1992,
	title = {Dreidimensionale Messung turbulenter Str{\"o}mung mit Bildverarbeitung},
	booktitle = {Proc. 14. DAGM-Symposium zur Mustererkennung},
	year = {1992},
	pages = {150--153},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-77785-1_18},
	author = {T. Netzsch and Bernd J{\"a}hne},
	editor = {Fuchs, S. and Hoffmann, R.}
}
@conference {Schnoerr-Neumann-dagm-92,
	title = {Ein Ansatz zur effizienten und eindeutigen Rekonstruktion st{\"u}ckweise glatter Funktionen},
	booktitle = {Mustererkennung 1992, 14. DAGM-Symposium},
	year = {1992},
	month = {sep},
	pages = {411{\textendash}416},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Dresden},
	author = {Schn{\"o}rr, C. and Neumann, B.},
	editor = {Fuchs, S. and Hoffmann, R.}
}
@phdthesis {waas1992,
	title = {Entwicklung eines feldg{\"a}ngigen optischen Me{\ss}systems zur stereoskopischen Messung von Wasseroberfl{\"a}chenwellen},
	year = {1992},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/930235711},
	author = {Stefan Waas}
}
@mastersthesis {hering1992,
	title = {Messungen von Transportgeschwindigkeiten in winderzeugten Wasserwellen mittels digitaler Bildfolgenanalyse},
	year = {1992},
	note = {IUP D-317},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Frank Hering}
}
@conference {snoeij1992,
	title = {Microwave backscatter measurements made from the Dutch Ocean Research Tower {\textquoteright}Noordwijk{\textquoteright} compared with model predictions},
	booktitle = {Proc. IGARSS{\textquoteright}92},
	year = {1992},
	doi = {10.1109/IGARSS.1992.576808},
	author = {P. Snoeij and van Halsema, D. and W. A. Oost and C. J. Calkoen and Bernd J{\"a}hne and J. Vogelzang}
}
@mastersthesis {brunswig1992,
	title = {Strukturanalyse von Gletschereis und Baumringen mittels Digitaler Bildanalyse},
	year = {1992},
	note = {IUP D-304},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Frank Brunswig}
}
@conference {wierzimok1992,
	title = {Tracking in Str{\"o}mungsbildfolgen},
	booktitle = {Proc. 14. DAGM-Symposium Mustererkennung},
	year = {1992},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-77785-1_19},
	author = {Dietmar Wierzimok and Frank Hering and Frank Brunswig},
	editor = {Fuchs, S. and Hoffmann, R.}
}
@phdthesis {riemer1991,
	title = {Analyse von Wasseroberfl{\"a}chenwellen im Orts-Wellenzahl-Raum},
	year = {1991},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Riemer, K.}
}
@conference {riemer1991a,
	title = {Bildfolgenanalyse im Orts-Wellenzahl-Raum},
	booktitle = {Proc. 13. DAGM-Symposium zur Mustererkennung 1991, M{\"u}nchen},
	year = {1991},
	note = {DAGM main award},
	doi = {10.1007/978-3-662-08896-8_28},
	author = {Riemer, K. and Thomas Scholz and Bernd J{\"a}hne}
}
@mastersthesis {scholz1991,
	title = {Bildfolgenanalyse von Wasseroberfl{\"a}chenwellen auf dem Transputer},
	year = {1991},
	note = {IUP D-342},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Thomas Scholz}
}
@conference {snoeij1991,
	title = {Comparison of microwave backscatter measurements and small-scale surface wave measurements made from the Dutch ocean research tower {\textquoteright}Noordwijk{\textquoteright}},
	booktitle = {Proceedings IGARSS {\textquoteright}91},
	volume = {3},
	year = {1991},
	pages = {1289--1292},
	doi = {10.1109/IGARSS.1991.579315},
	author = {P. Snoeij and van Halsema, D. and W. A. Oost and C. J. Calkoen and J. Vogelzang and Bernd J{\"a}hne}
}
@article {Schnoerr-ijcv-91,
	title = {Determining Optical Flow for Irregular Domains by Minimizing Quadratic Functionals of a Certain Class},
	journal = {ijcv},
	volume = {6},
	number = {1},
	year = {1991},
	pages = {25{\textendash}38},
	author = {Schn{\"o}rr, C.}
}
@book {jaehne1991c,
	title = {Digital Image Processing - Concepts, Algorithms, and Scientific Applications},
	year = {1991},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-662-11565-7},
	url = {http://d-nb.info/911090657},
	author = {Bernd J{\"a}hne}
}
@book {jaehne1991b,
	title = {Digitale Bildverarbeitung},
	year = {1991},
	publisher = {Springer},
	organization = {Springer},
	edition = {2},
	doi = {10.1007/978-3-662-06734-5},
	url = {http://d-nb.info/910564256},
	author = {Bernd J{\"a}hne}
}
@conference {halsema1991,
	title = {Dual-polarized scatterometer measurements of wind and mechanically generated waves in a very large wind/wave flume, the VIERS-1 project},
	booktitle = {Proc.\ 5th Int. Coll. Physical Measurements and Signatures in Remote Sensing, Courchevel, France},
	volume = {ESA SP-319},
	year = {1991},
	pages = {247--252},
	author = {van Halsema, D. and C. J. Calkoen and W. A. Oost and P. Snoeij and J. Vogelzang and Bernd J{\"a}hne}
}
@mastersthesis {bracht1991,
	title = {Entwicklung eines videometrischen Me{\ss}verfahrens zur Erfassung von Str{\"o}mungen an der Wasseroberfl{\"a}che},
	year = {1991},
	note = {IUP D-283},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {R. Bracht}
}
@mastersthesis {lietmeyer1991,
	title = {Entwicklung eines videometrischen Verfahrens zur Messung der Wellenh{\"o}he von Wasseroberfl{\"a}chenwellen},
	year = {1991},
	note = {IUP D-369},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Lietmeyer, H. R.}
}
@conference {calkoen1991a,
	title = {Evaluation of a two-scale model using extensive radar backscatter and wave measurements in a large wind-wave flume},
	booktitle = {Proceedings IGARSS {\textquoteright}91},
	volume = {2},
	year = {1991},
	pages = {885--888},
	doi = {10.1109/IGARSS.1991.580259},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {C. J. Calkoen and P. Snoeij and van Halsema, D. and J. Vogelzang and W. A. Oost and C. J. Calkoen and P. Snoeij and J. Vogelzang and W. A. Oost and van Halsema, D.}
}
@conference {jaehne1991,
	title = {From mean fluxes to a detailed experimental investigation of the gas transfer process},
	booktitle = {2nd International Symposium on Gas Transfer at Water Surfaces - Air--Water Mass Transfer, Minneapolis 1990},
	year = {1991},
	pages = {244--256},
	publisher = {ASCE},
	organization = {ASCE},
	doi = {10.5281/zenodo.12204},
	author = {Bernd J{\"a}hne},
	editor = {Wilhelms, S. C. and John S. Gulliver}
}
@phdthesis {Schnoerr-diss,
	title = {Funktionalanalytische Methoden zur Bestimmung von Bewegungsinformation aus TV-Bildfolgen},
	year = {1991},
	publisher = {Fakult{\"a}t f{\"u}r Informatik, Universit{\"a}t Karlsruhe (TH)},
	type = {phd},
	author = {Schn{\"o}rr, C.}
}
@conference {wierzimok1991,
	title = {Measurement of wave-induced turbulent flow structure using digital image sequence analysis},
	booktitle = {Air-Water Mass Transfer, selected papers from the 2nd International Symposium on Gas Transfer at Water Surfaces, September 11--14, 1990, Minneapolis, Minnesota},
	year = {1991},
	pages = {200--209},
	publisher = {ASCE},
	organization = {ASCE},
	doi = {10.5281/zenodo.12206},
	author = {Dietmar Wierzimok and Bernd J{\"a}hne},
	editor = {Wilhelms, S. C. and John S. Gulliver}
}
@conference {halsema1991a,
	title = {Modulation of the microwave backscatter by long gravity waves as measured in a very large wind/wave flume},
	booktitle = {Proc. IGARSS {\textquoteright}91},
	volume = {3},
	year = {1991},
	pages = {1293--1296},
	doi = {10.1109/IGARSS.1991.579316},
	author = {van Halsema, D. and P. Snoeij and C. J. Calkoen and W. A. Oost and J. Vogelzang and Bernd J{\"a}hne}
}
@conference {jaehne1991a,
	title = {New experimental results on the parameters influencing air-sea gas exchange},
	booktitle = {Air-Water Mass Transfer, selected papers from the 2nd International Symposium on Gas Transfer at Water Surfaces, September 11--14, 1990, Minneapolis, Minnesota},
	year = {1991},
	pages = {582--592},
	publisher = {ASCE},
	organization = {ASCE},
	doi = {10.5281/zenodo.12203},
	author = {Bernd J{\"a}hne},
	editor = {Wilhelms, S. C. and John S. Gulliver}
}
@mastersthesis {klinke1991,
	title = {Zweidimensionale Wellenzahlspektren von kleinskaligen winderzeugten Wasseroberfl{\"a}chenwellen},
	year = {1991},
	note = {IUP D-358},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {J. Klinke}
}
@conference {wierzimok1990a,
	title = {Automatic particle tracking beneath a wind-stressed wavy water surface with image processing},
	booktitle = {Proc.\ 5th Int. Symposium Flow Visualization, Praque 1989},
	year = {1990},
	pages = {943--956},
	doi = {dx.doi.org/10.5281/zenodo.14004},
	author = {Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {Bister-et-al-dagm-90,
	title = {Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Grauwertbildfolge},
	booktitle = {Mustererkennung 1990, 12. DAGM-Symposium},
	series = {Informatik-Fachberichte},
	volume = {254},
	year = {1990},
	pages = {44{\textendash}51},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Oberkochen-Aalen},
	author = {Bister, D. and Rohr, K. and Schn{\"o}rr, C.},
	editor = {Gro{\ss}kopf, R.E.}
}
@conference {Schnoerr-bmvc-90,
	title = {Computation of Discontinuous Optical Flow by Domain Decomposition and Shape Optimization},
	booktitle = {Proc. British Machine Vision Conference},
	year = {1990},
	month = {sep},
	pages = {109{\textendash}114},
	address = {Oxford/UK},
	author = {Schn{\"o}rr, C.}
}
@conference {snoeij1990a,
	title = {Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank},
	booktitle = {Proc. IGARSS{\textquoteright}90},
	year = {1990},
	pages = {2157--2160},
	doi = {10.1109/IGARSS.1990.688958},
	author = {P. Snoeij and C. J. Calkoen and W. A. Oost and van Halsema, D. and J. Vogelzang and Bernd J{\"a}hne}
}
@conference {snoeij1990,
	title = {A high resolution scatterometer for radar backscatter measurements of wind generated waves in wind/wave tanks},
	booktitle = {European Micro Wave Conference 1990},
	year = {1990},
	abstract = {In February 1988, combined measurements of microwave backscatter, wind, waves and gas exchange have been carried out in the large Delft Hydraulics wind/wave tank, with wind generated waves. In March 1989 a second exaperiment took place in the huge outdoor wave tank, the Delta tank, with wind generated waves and mechanically generated waves. These experiments were perfonned in the framework of the VIERS-1 project. In this project a number of Dutch and German institutes cooperate. Main objective is to increase the knowledge about the physics involved in the interaction of microwaves and the ocean surface and, from that point, to an improvement of the algorithms used for determination of wind speed and direction from satelliteborne microwave scatterometers. A second objective is to study the relation between the gas exchange at the water surface and the microwave backscatter. To achieve these objectives two wind/wave tank experiments and one ocean based platform experiment are scheduled. In this paper, the VIERS-l program will be outlined. The features of a specially designed high resolution scatterometer will be described and some results of both tank expermnents will be shown.},
	doi = {10.1109/EUMA.1990.336154},
	author = {P. Snoeij and J. Vogelzang and C. J. Calkoen and W. A. Oost and van Halsema, D. and Bernd J{\"a}hne}
}
@phdthesis {wierzimok1990,
	title = {Messung turbulenter Str{\"o}mungen unterhalb der windwellenbewegten Wasseroberfl{\"a}che mittels digitaler Bildverarbeitung},
	year = {1990},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/910573255},
	author = {Dietmar Wierzimok}
}
@conference {jaehne1990,
	title = {Motion determination in space-time images},
	booktitle = {Proc. Computer Vision -- ECCV 90, Lecture Notes in Computer Science 427},
	year = {1990},
	pages = {161--173},
	abstract = {A new approach to determine motion from multiple images of a sequence is presented. Motion is regarded as orientation in a three-dimensional space with one time and two space coordinates. The algorithm is analogous to an eigenvalue analysis of the inertia tensor. Besides the determination of the displacement vector field it allows the classification of four regions with regard to motion: a) constant regions, where no velocity determination is possible; b) edges, where the velocity component perpendicular to the edge is determined; c) corners, where both components of the velocity vector are calculated; d) motion discontinuities, which are used to mark the boundaries between objects moving with different velocities. The accuracy of the new algorithm has been tested with artificially generated image sequences with known velocity vector fields. An iterative refinement technique yields more accurate results than the usage of higher order approximations to the first spatial and temporal derivatives. Temporal smoothing significantly improves the velocity estimates in noisy images. Displacements between consecutive images can be computed with an accuracy well below 0.1 pixel distances.},
	doi = {10.1007/BFb0014862},
	author = {Bernd J{\"a}hne},
	editor = {Faugeras, O.}
}
@article {jaehne1990a,
	title = {Two-dimensional wave number spectra of small-scale water surface waves},
	journal = {J. Geophys. Res.},
	volume = {95},
	number = {C7},
	year = {1990},
	pages = {11531--11646},
	abstract = {Two-dimensional wave slope spectra have been measured in the large Delft wind-wave facility using an imaging optical technique and digital image processing. The data cover wavelengths from 0.4 to 24 cm and wind speeds (U 10) from 2.7 to 17.2 ms-1. The spectral densities of small gravity waves at higher wind speeds are proportional to k ^-3.5 and u*. Capillary-gravity and capillary waves show features which clearly manifest that the energy balance for these waves is much different from that for gravity waves. The degree of saturation is approximately constant at a given wind speed, but strongly increases with friction velocity (proportional to u*^2.5). A sharp cutoff, which is almost independent of the wind speed, occurs at a wavelength of about 7 mm.},
	doi = {10.1029/JC095iC07p11531},
	author = {Bernd J{\"a}hne and Riemer, K.}
}
@conference {wierzimok1989,
	title = {Automatic particle tracking velocimetry beneath a wind-stressed wavy water surface with image processing},
	booktitle = {5th International Symposium on Flow Visualization},
	year = {1989},
	doi = {10.5281/zenodo.14004},
	author = {Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {halsema1989b,
	title = {Comparisons of X-band Radar Backscatter Measurements with Area extended wave slop measurements made in a large Wind/Wave Tank},
	booktitle = {Proc. IGARSS{\textquoteright}89},
	volume = {5},
	year = {1989},
	pages = {2997--3001},
	doi = {10.1109/IGARSS.1989.575986},
	author = {van Halsema, D. and C. J. Calkoen and W. A. Oost and P. Snoeij and Bernd J{\"a}hne}
}
@book {jaehne1989b,
	title = {Digitale Bildverarbeitung},
	year = {1989},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-662-06734-5},
	url = {http://d-nb.info/890489467},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {trukenmueller1989,
	title = {Einfl{\"u}sse von Viskosit{\"a}t u. Oberfl{\"a}chenspannung auf winderzeugte Wasseroberfl{\"a}chenwellen},
	year = {1989},
	note = {IUP D-272},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Trukenm{\"u}ller, Alfred}
}
@conference {jaehne1989,
	title = {Energy balance in small-scale waves: an experimental approach using optical slope measuring technique and image processing},
	booktitle = {Radar Scattering from Modulated Wind Waves},
	year = {1989},
	pages = {105--120},
	publisher = {Kluwer Academic Publishers},
	organization = {Kluwer Academic Publishers},
	doi = {10.1007/978-94-009-2309-6_10},
	author = {Bernd J{\"a}hne},
	editor = {Komen, G. J. and W. A. Oost}
}
@mastersthesis {grosser1989,
	title = {Entwicklung eines Verfahrens zur optischen Messung der Wellenh{\"o}he von Wasseroberfl{\"a}chenwellen},
	year = {1989},
	note = {IUP D-271},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Karl-Heinz Grosser}
}
@inbook {halsema1989a,
	title = {First results of the VIERS-1 experiment},
	booktitle = {Radar Scattering from Modulated Wind Waves},
	year = {1989},
	pages = {49--57},
	publisher = {Kluwer Academic Publishers},
	organization = {Kluwer Academic Publishers},
	doi = {10.1007/978-94-009-2309-6_5},
	author = {Halsema, D. and Bernd J{\"a}hne and C. J. Calkoen and P. Snoeij},
	editor = {W. A. Oost and Komen, G. J. and W. A. Oost}
}
@article {jaehne1989a,
	title = {Investigating the transfer process across the free aqueous boundary layer by the controlled flux method},
	journal = {Tellus},
	volume = {41B},
	number = {2},
	year = {1989},
	pages = {177--195},
	abstract = {Theory and experimental results of a new method are described directly investigating the transfer processes across the aqueous viscous boundary layer. The method is based on a known and controllable flux density being applied at the interface. Then the local transfer velocity can be determined by monitoring the tracer concentration at the water surface within minutes. Moreover, the time constant for the transport across the boundary layer ("surface renewal time") can be measured directly. Comparison of the theoretical and measured frequency response of the boundary layer yields significant deviations. The technique is put into operation for heat transfer measurements. Direct comparisons with gas exchange measurements in several wind/wave facilities verify that the gas transfer velocity can be accurately extrapolated from the heat transfer measurements. A new way is opened both for detailed studies of the transfer processes in wind/wave facilities and the urgently needed direct parameterization of the transfer velocity as a function of windshear, wave parameters, and water turbulence in natural systems as rivers, lakes and the ocean. This paper includes (as a first example) measurements on the fetch dependency of the transfer process.},
	doi = {10.1111/j.1600-0889.1989.tb00135.x},
	author = {Bernd J{\"a}hne and P. Libner and Fischer, R. and Thomas Billen and Erich J. Plate}
}
@conference {jaehne1989c,
	title = {Motion determination in space-time images},
	booktitle = {Image Processing III, SPIE Proceeding 1135, international congress on optical science and engineering, Paris, 24-28 April 1989},
	year = {1989},
	pages = {147--152},
	doi = {10.1117/12.961657},
	author = {Bernd J{\"a}hne}
}
@conference {jaehne1989d,
	title = {Optical measuring technique for small scale water surface waves},
	booktitle = {Advanced Optical Instrumentation for Remote Sensing of the Earth{\textquoteright}s Surface from Space, SPIE Proceeding 1129, International Congress on Optical Science and Engineering, Paris, 24-28 April 1989},
	year = {1989},
	pages = {147--152},
	doi = {10.1117/12.961496},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {Stefan Waas and Stefan Waas}
}
@booklet {jaehne1989e,
	title = {Physics and chemistry of gas exchange on the ocean surface},
	year = {1989},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {tremmel1989,
	title = {Untersuchungen zur Wiederbel{\"u}ftung von Neckar und Rhein mit der Konstantflu{\ss}methode},
	year = {1989},
	note = {IUP D-252},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Tremmel, H. G.}
}
@conference {Schnoerr-dagm-89,
	title = {Zur Sch{\"a}tzung von Geschwindigkeitsvektorfeldern in Bildfolgen mit einer richtungsabh{\"a}ngigen Glattheitsforderung},
	booktitle = {Mustererkennung 1989, 11. DAGM-Symposium},
	series = {Informatik-Fachberichte},
	volume = {219},
	year = {1989},
	pages = {294{\textendash}301},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Hamburg},
	author = {Schn{\"o}rr, C.},
	editor = {Burkhardt, H. and H{\"o}hne, K.H. and Neumann, B.}
}
@mastersthesis {billen1988,
	title = {Entwicklung einer LDA-Miniatursonde zur Messung der Str{\"o}mungsgeschwindigkeit und ihrer Fluktuationen in Wasser},
	year = {1988},
	note = {IUP D-240},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.15529},
	author = {Thomas Billen}
}
@mastersthesis {klein1988,
	title = {Entwicklung einer Videoaufnahmetechnik und eines Computerbildauswertungsverfahren zur Aufnahme und Auswertung von Blasenverteilungen},
	year = {1988},
	note = {IUP D-237},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Ralf Klein}
}
@mastersthesis {waas1988,
	title = {Entwicklung eines Verfahrens zur Messung kombinierter H{\"o}hen- und Neigungsverteilungen von Wasseroberfl{\"a}chenwellen mit Stereoaufnahmen},
	year = {1988},
	note = {IUP D-248},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Stefan Waas}
}
@conference {halsema1988,
	title = {VIERS-1: A Programme of Wind Scatterometry},
	booktitle = {Geoscience and Remote Sensing Symposium, Proc.\ IGARSS{\textquoteright}88},
	volume = {1},
	year = {1988},
	pages = {572},
	doi = {10.1109/IGARSS.1988.570207},
	author = {van Halsema, D. and de Loor, P. and Bernd J{\"a}hne}
}
@conference {wierzimok1987,
	title = {Bildfolgenanalyse dreidimensionaler turbulenter Str{\"o}mungen},
	booktitle = {Proc. 9. DAGM-Symposium zur Mustererkennung 1987},
	volume = {149},
	year = {1987},
	pages = {288},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-662-22205-8_71},
	author = {Dietmar Wierzimok and Bernd J{\"a}hne and J. Dengler},
	editor = {E. Paulus}
}
@phdthesis {libner1987,
	title = {Die Konstantflu{\ss}methode: Ein neuartiges, schnelles und lokales Me{\ss}verfahren zur Untersuchung von Austauschvorg{\"a}ngen an der Luft-Wasser Phasengrenze},
	year = {1987},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/881465941},
	author = {P. Libner}
}
@article {libner1987a,
	title = {Ein neue Methode zur lokalen und momentanen Bestimmung der Wiederbel{\"u}ftungsraten von Gew{\"a}ssern},
	journal = {Wasserwirtschaft},
	volume = {77},
	number = {5},
	year = {1987},
	pages = {230--235},
	doi = {10.5281/zenodo.13129},
	author = {P. Libner and Bernd J{\"a}hne and Erich J. Plate}
}
@conference {jaehne1987,
	title = {Image sequence analysis of complex physical objects: nonlinear small scale water surface waves},
	booktitle = {Proc. of 1st International Conference on Computer Vision},
	year = {1987},
	pages = {191--200},
	publisher = {IEEE},
	organization = {IEEE},
	doi = {10.5281/zenodo.13126},
	author = {Bernd J{\"a}hne}
}
@article {jaehne1987a,
	title = {Measurement of the diffusion coefficients of sparingly soluble gases in water},
	journal = {J. Geophys. Res.},
	volume = {92},
	number = {C10},
	year = {1987},
	pages = {10,767--10,776},
	abstract = {The diffusion coefficients D of important gas tracers dissolved in water and seawater were measured with a modified Barrer method. The measurements include the gases He, Ne, Kr, Xe, H2, CH4, and CO2 dissolved in distilled water in the temperature range from 5 to 35{\textdegree}C, and He and H2 dissolved in seawater in the same temperature range. The maximum systematic error is estimated to be well below 5\%. The isotopic fractionation in the diffusion coefficient was determined to be (0.87 {\textpm} 0.05) for 13CO2/12CO2 and (15 {\textpm} 3)\% for 3He/4He.},
	doi = {10.1029/JC092iC10p10767},
	author = {Bernd J{\"a}hne and Gerhard Heinz and Wolfgang Dietrich}
}
@conference {jaehne1987c,
	title = {Neue Ans{\"a}tze zur Bildfolgenanalyse},
	booktitle = {Proc. 9. DAGM-Symposium zur Mustererkennung 1987},
	volume = {149},
	year = {1987},
	pages = {287},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-662-22205-8_70},
	author = {Bernd J{\"a}hne},
	editor = {E. Paulus}
}
@article {jaehne1987b,
	title = {On the parameters influencing air-water gas exchange},
	journal = {J. Geophys. Res.},
	volume = {92},
	year = {1987},
	pages = {1937--1950},
	abstract = {Detailed gas exchange measurements from two circular and one linear wind/wave tunnels are presented. Heat, He, CH4, CO2, Kr, and Xe have been used as tracers. The experiments show the central importance of waves for the water-side transfer process. With the onset of waves the Schmidt number dependence of the transfer velocity k changes from k proportional to Sc^-2/3 to k proportional to Sc^-1/2 indicating a change in the boundary conditions at the surface. Moreover, energy put into the wave field by wind is transferred to near-surface turbulence enhancing gas transfer. The data show that the mean square slope of the waves is the best parameter to characterize the free wavy surface with respect to water-side transfer processes.},
	doi = {10.1029/JC092iC02p01937},
	author = {Bernd J{\"a}hne and K. O. M{\"u}nnich and R. B{\"o}singer and A. Dutzi and Werner A. Huber and P. Libner}
}
@article {lifermann1987,
	title = {Une {\`e}tude en soufflerie de la r{\`e}flexion des hyperfr{\`e}quences par des champs de houles et de vagues},
	journal = {Oceanologia Acta},
	volume = {SP},
	year = {1987},
	pages = {15--22},
	doi = {10.5281/zenodo.13128},
	author = {A. Lifermann and Bernd J{\"a}hne and A. Ramamonjiarisoa}
}
@phdthesis {huber1987,
	title = {Zweidimensionale Wellenzahlspektren von Wasseroberfl{\"a}chenwellen: Aufbau eines neuartigen Verfahrens},
	year = {1987},
	note = {IUP D-229},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/881465860},
	author = {Werner A. Huber}
}
@conference {jaehne1986,
	title = {Bildfolgenanalyse in der Umweltphysik: Wasseroberfl{\"a}chenwellen und Gasaustausch zwischen Atmosph{\"a}re und Gew{\"a}ssern},
	booktitle = {Proc. 8. DAGM-Symposium Mustererkennung 1986},
	year = {1986},
	note = {DAGM award},
	pages = {201--205},
	doi = {10.1007/978-3-642-71387-3_36},
	url = {http://www.ub.uni-heidelberg.de/archiv/18103},
	author = {Bernd J{\"a}hne}
}
@article {broecker1986,
	title = {Isotopic versus micrometeorologic ocean CO$_2$ fluxes: A serious conflict},
	journal = {J. Geophys. Res.},
	volume = {91},
	number = {C9},
	year = {1986},
	pages = {10517--10528},
	abstract = {Eddy correlation measurements over the ocean give CO2 fluxes an order of magnitude or more larger than expected from mass balance measurements using radiocarbon and radon 222. In particular, Smith and Jones (1985) reported large upward and downward fluxes in a surf zone at supersaturations of 15\% and attributed them to the equilibration of bubbles at elevated pressures. They argue that even on the open ocean such bubble injection may create steady state CO2 supersaturations and that inferences of fluxes based on air-sea pCO2 differences and radon exchange velocities must be made with caution. We defend the global average CO2 exchange rate determined by three independent radioisotopic means: prebomb radiocarbon inventories; global surveys of mixed layer radon deficits; and oceanic uptake of bomb-produced radiocarbon. We argue that laboratory and lake data do not lead one to expect fluxes as large as reported from the eddy correlation technique; that the radon method of determining exchange velocities is indeed useful for estimating CO2 fluxes; that supersaturations of CO2 due to bubble injection on the open ocean are negligible; that the hypothesis that Smith and Jones advance cannot account for the fluxes that they report; and that the pC02 values reported by Smith and Jones are likely to be systematically much too high. The CO2 fluxes for the ocean measured to date by the micrometeorological method can be reconciled with neither the observed concentrations of radioisotopes of radon and carbon in the oceans nor the tracer experiments carried out in lakes and in wind/wave tunnels.},
	doi = {10.1029/JC091iC09p10517},
	author = {Broecker, W. S. and Ledwell, J. R. and Takahashi, T. and R. Weiss and L. Merlivat and L. Memery and Bernd J{\"a}hne and K. O. M{\"u}nnich}
}
@mastersthesis {heinz1986,
	title = {Messung der Diffusionskonstanten von in Wasser gel{\"o}sten Gasen mit einem modifizierten Barrerverfahren},
	year = {1986},
	note = {IUP D-217},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Gerhard Heinz}
}
@mastersthesis {boesinger1986,
	title = {Messungen zur Schmidtzahlabh{\"a}ngigkeit des Gasaustausches},
	year = {1986},
	note = {IUP D-221},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.15133},
	author = {R. B{\"o}singer}
}
@mastersthesis {maiss1986,
	title = {Modelluntersuchung zum Einfluss von Blasen auf den Gasaustausch zwischen Atmosph{\"a}re und Meer},
	year = {1986},
	note = {IUP D-215},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.15415},
	author = {Manfred Mai{\ss}}
}
@mastersthesis {barabas1985,
	title = {Aufbau und Weiterentwicklung von optischen Verfahren zur Messung von Gasblasen in Wasser; Messungen von Blasendichtespektren in Wind/Wasser-Kan{\"a}len in Marseille und Heidelberg},
	year = {1985},
	note = {IUP D-191},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.15577},
	author = {Michael Barabas}
}
@article {jaehne1985,
	title = {He and Rn gas exchange experiments in the large wind-wave facility of IMST},
	journal = {J. Geophys. Res.},
	volume = {90},
	year = {1985},
	pages = {11,989--11,998},
	abstract = {In a collaboration between the Laboratoire de G{\'e}ochimie Isotopique (Centre d{\textquoteright}Etudes Nucl{\'e}aires, Saclay), the Institut de M{\'e}canique Statistique de la Turbulence (IMST, Marseille), and the Institut f{\"u}r Umweltphysik (Heidelberg), for the first time gas exchange experiments have been carried out in the large IMST wind-wave facility. The experiments included simultaneous measurements of Rn and He gas exchange rates, wave slope measurements at four fetches, and bubble measurements. Compared with transfer velocities measured previously in smaller tunnels, our results are considerably lower. This effect can be explained qualitatively by differences in the wave field, which must be taken into account as an important parameter for gas exchange. Wave breaking, starting at 12 m/s wind, was not intense. Consequently, only low bubble densities are obtained, not significantly enhancing gas exchange.},
	doi = {10.1029/JC090iC06p11989},
	author = {Bernd J{\"a}hne and Thomas Wais and L. Memery and G. Caulliez and L. Merlivat and K. O. M{\"u}nnich and M. Coantic}
}
@phdthesis {jaehne1985a,
	title = {Transfer processes across the free water interface},
	volume = {Habilitation},
	year = {1985},
	note = {IUP D-200},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {Habilitation thesis},
	abstract = {It is the aim of this thesis to discuss the transfer processes across a free gas-liquid interface. After some basic considerations, the state of the art presented in the literature is discussed. The only quantities studied so far are mean parameters like the transfer velocity for mass transfer and the friction velocity as a measure for momentum exchange. The discussion of the data obtained shows that this experimental approach is completely insufficient to explain the effects observed, mainly the large enhancement of mass transfer across the aqueous boundary layer for a free surface if compared to a solid one. Therefore methods providing a deeper insight into the complex transfer mechanisms have been developed. Special emphasize is put on their capabilities and their significance in proving and disproving theoretical concepts: - the study of the Schmidt number dependence of the mass transfer process, in order to obtain the shape of the turbulence increase at the surface - a comparison of the Schmidt number dependence and the velocity profile in the boundary layer, leading to a distinction of multi- and single-stage transport models - the measurement of the local and instantaneous transfer velocity across the boundary layer - a detailed study of water surface waves including the measurement of the phase speed and the coherency - the visualization of the surface waves and - the visualization of the mass transfer across the aqueous boundary layer both providing a direct insight into the two-dimensional structure of the processes. From the results obtained so far a clearer picture of the exchange processes and the turbulent structure at the free, wavy surface can be drawn already: With the onset of the waves at the free surface a new flow regime is established which has no analogue in flow at a solid surface. Eddies with length scales comparable to the dominant waves and closely linked to the wave field are an important feature of this structure. Kitaigorodskii{\textquoteright}s concept (1984) that turbulent patches generated by wave instability cause the enhanced gas exchange rates is in agreement with these findings. The development of the new methods promises further progress in understanding near-surface transport processes in the liquid.},
	doi = {10.11588/heidok.00016798},
	author = {Bernd J{\"a}hne}
}
@conference {liefermann1985,
	title = {Wind tunnel investigation of the characterization of radar backscattering by different wave fields},
	booktitle = {Third International Colloquium Spectral Signatures of Objects in Remote Sensing},
	volume = {1},
	year = {1985},
	pages = {137--140},
	abstract = {The motion phases of waves and sea swell that contribute to C and K-band reflection of radar waves were investigated in a wind tunnel designed to simulate air-sea interactions. Results at vertical incidence for various swells, water waves, winds, and combinations of wind and swell are presented. A very important contribution of wave breaking to radar backscattering strength is noted.},
	url = {http://adsabs.harvard.edu/abs/1985ssor.proc..137L},
	author = {A. Liefermann and A. Ramamonjiarisoa and Bernd J{\"a}hne}
}
@mastersthesis {huber1984,
	title = {Aufbau eines gaschromatographischen Messsystems f{\"u}r Gasaustauschmessungen; Windkanalmessungen zur Schmidtzahl- und Wellenbildabh{\"a}ngigkeit des Gasaustausches},
	year = {1984},
	note = {IUP D-178},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14544},
	author = {Werner A. Huber}
}
@mastersthesis {libner1984,
	title = {Entwicklung eines optische Systems zur Erfassung von Wellenparametern bei Feldmessungen im Hinblick auf den Gasaustausch},
	year = {1984},
	note = {IUP D-189},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {P. Libner}
}
@mastersthesis {schoder1984,
	title = {Messung der Transfergeschwindigkeit des Gasaustausches durch Blasenoberfl{\"a}chen},
	year = {1984},
	note = {IUP D-188},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Schoder, Martin}
}
@conference {jaehne1984,
	title = {A new optical bubble measuring device; a simple model for bubble contribution to gas exchange},
	booktitle = {Gas transfer at water surfaces},
	year = {1984},
	pages = {237--246},
	publisher = {Reidel},
	organization = {Reidel},
	doi = {10.1007/978-94-017-1660-4_22},
	author = {Bernd J{\"a}hne and Thomas Wais and Michael Barabas},
	editor = {W. Brutsaert and G. H. Jirka}
}
@conference {jaehne1984a,
	title = {Parameterization of air/lake gas exchange},
	booktitle = {Gas transfer at water surfaces},
	year = {1984},
	pages = {469--476},
	publisher = {Reidel},
	organization = {Reidel},
	doi = {10.1007/978-94-017-1660-4_42},
	author = {Bernd J{\"a}hne and K. H. Fischer and Johann Ilmberger and P. Libner and W. Weiss and D. Imboden and U. Lemnin and J. M. Jaquet},
	editor = {W. Brutsaert and G. H. Jirka}
}
@mastersthesis {dutzi1984,
	title = {Untersuchungen zum Einfluss der Temperatur auf den Gasaustausch},
	year = {1984},
	note = {IUP D-190},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14919},
	author = {A. Dutzi}
}
@conference {jaehne1984b,
	title = {Wind/wave-tunnel experiments on the Schmidt number and wave field dependence of air-water gas exchange},
	booktitle = {Gas transfer at water surfaces},
	year = {1984},
	pages = {303--309},
	publisher = {Reidel},
	organization = {Reidel},
	doi = {10.1007/978-94-017-1660-4_28},
	author = {Bernd J{\"a}hne and Werner A. Huber and A. Dutzi and Thomas Wais and Johann Ilmberger},
	editor = {W. Brutsaert and G. H. Jirka}
}
@mastersthesis {wais1983,
	title = {Aufbau eines optischen Verfahrens zur Messung von Gasblasen in Wasser; Einfluss von Gasblasen auf den Gasaustausch},
	year = {1983},
	note = {IUP D-177},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.13373},
	author = {Thomas Wais}
}
@mastersthesis {dietrich1983,
	title = {Aufbau und Erprobung eines neuartigen Diaphragmaverfahrens zur Messung der Diffusionskonstanten von in Wasser gel{\"o}sten Gasen},
	year = {1983},
	note = {IUP D-176},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Wolfgang Dietrich}
}
@techreport {jaehne1983,
	title = {Messung des Gasaustausches und der Turbulenz an der Oberfl{\"a}che durch Sichtbarmachung der Grenzschicht},
	year = {1983},
	institution = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg},
	doi = {10.5281/zenodo.12201},
	author = {Bernd J{\"a}hne}
}
@conference {jaehne1983a,
	title = {Optical water waves measuring techniques},
	booktitle = {Talk, 1st International Symposium on Gas Transfer at Water Surfaces, Cornell University, Ithaca, New York, June 13--15, 1983},
	year = {1983},
	doi = {10.5281/zenodo.14008},
	author = {Bernd J{\"a}hne}
}
@article {lange1982,
	title = {Comparison between an amplitude-measuring wire and a slope-measuring laser water wave gauge},
	journal = {Rev. Sci. Instrum.},
	volume = {53},
	number = {5},
	year = {1982},
	pages = {651--655},
	abstract = {Capillary waves produced in a laboratory wind wave tunnel have been measured using a wire resistance-type gauge (measuring wave amplitude) and a laser gauge (measuring wave slope). Comparison of power spectra of the gauges shows good agreement to 80 Hz, which is the upper frequency limit of the wire gauge. The upper frequency limit of the laser gauge depends upon laser beam diameter and is about 300 Hz.},
	doi = {10.1063/1.1137036},
	author = {Lange, P. A. and Bernd J{\"a}hne and Tschiersch, J. and Johann Ilmberger}
}
@incollection {jaehne1982,
	title = {Trockene Deposition von Gasen {\"u}ber Wasser (Gasaustausch)},
	year = {1982},
	publisher = {Battelle Institut},
	doi = {10.5281/zenodo.10278},
	author = {Bernd J{\"a}hne},
	editor = {Flothmann, D.}
}
@mastersthesis {wolf1981,
	title = {Aufbau einer Pilotanlage zur gaschromatographischen Tritiumanreicherung},
	year = {1981},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Wolf, G{\"u}nther}
}
@mastersthesis {boenisch1981,
	title = {Gasaustausch und W{\"a}rmetransfer bei freier Konvektion und unter Einfluss von Wellen: Aufbau einer Apparatur und erste Ergebnisse},
	year = {1981},
	note = {IUP D-204},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.13362},
	author = {Klaus B{\"o}nisch}
}
@mastersthesis {ilmberger1981,
	title = {Impuls{\"u}bertrag und Str{\"o}mungsverh{\"a}ltnisse in einem runden Wind-Wasser Kanal},
	year = {1981},
	note = {IUP D-167},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.13346},
	author = {Johann Ilmberger}
}
@incollection {tschiersch1980a,
	title = {Gas exchange trough a rough water surface in a circular windtunnel; wave characteristics under limited and unlimited fetch},
	number = {17},
	year = {1980},
	pages = {63--70},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10260},
	author = {Tschiersch, J. and Bernd J{\"a}hne},
	editor = {H. C. Broecker and L. Hasse}
}
@incollection {jaehne1980a,
	title = {The influence of surface tension on gas exchange: measurements of gas exchange with alcohol/water mixtures in a circular wind-water tunnel},
	number = {17},
	year = {1980},
	pages = {103--108},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10262},
	author = {Bernd J{\"a}hne and U. Siegenthaler},
	editor = {H. C. Broecker and L. Hasse}
}
@incollection {jaehne1980,
	title = {Momentum induced gas exchange through a smooth water surface, models and experimental results from linear and circular wind-water tunnels},
	number = {17},
	year = {1980},
	pages = {55--62},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10257},
	author = {Bernd J{\"a}hne and K. O. M{\"u}nnich},
	editor = {H. C. Broecker and L. Hasse}
}
@mastersthesis {tschiersch1980,
	title = {Optische Messung von Kapillarwellen im Hinblick auf den Gasaustausch},
	year = {1980},
	note = {IUP D-151},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.13359},
	author = {Tschiersch, Jochen}
}
@mastersthesis {weisser1980,
	title = {Verdunstungsmessungen in einem ringf{\"o}rmigen Wind-Wasser-Kanal mit Hilfe von Psychochrometern und einem WLD-System},
	year = {1980},
	note = {IUP D-159},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.13330},
	author = {Fritz Wei{\ss}er}
}
@phdthesis {jaehne1980b,
	title = {Zur Parametrisierung des Gasaustauschs mit Hilfe von Laborexperimenten},
	volume = {Dissertation},
	year = {1980},
	note = {IUP D-145, Link Nationalbibliothek http://d-nb.info/810123614},
	publisher = {Institut f{\"u}r Umweltphysik},
	abstract = {In der folgenden Arbeit werden in Laborexperimenten die Mechanismen des Gasaustausches zwischen Atmosph{\"a}re und Meer untersucht. Dazu wurde erstmals ein ringf{\"o}rmiger Wind-Wasser-Kanal eingesetzt, der gegen{\"u}ber linearen eine Reihe von Vorteilen aufweist. Der Einflu{\ss} der Zentrifugalkr{\"a}fte auf die Austauschprozesse erwies sich als gering. Gemessen wurden neben der Gasaustauschrate f{\"u}r CO2 der Transfer von W{\"a}rme in Wasser, die Verdunstungsrate, die Schubspannungsgeschwindigkeit und mit Hilfe einer optischen Methode Neigungsspektren und mittlere Neigungen der Wasserwellen. Im glatten Fall entspricht die viskose Grenzschicht beiderseits der Wasseroberfl{\"a}che v{\"o}llig der an einer festen Wand. Das best{\"a}tigen die Experimente sowohl durch die absoluten Raten als auch durch die Schmidtzahlabh{\"a}ngigkeit des Gasaustausches von Sc^(-2/3), die unmittelbar aus Kontinuit{\"a}ts{\"u}berlegungen resultiert. Mit dem Auftreten von Kapillarwellen steigen die Transfergeschwindigkeiten der wasserseitig kontrollierten Austauschprozesse stark an. Die Erh{\"o}hung des Gasaustausches ist besonders gro{\ss}, da sich gleichzeitig die Schrnidtzahlabh{\"a}ngigkeit auf Sc^(-1/2) {\"a}ndert. Zur Erkl{\"a}rung des hohen Anstiegs reichen die bisherigen theoretischen Vorstellungen eine Grenzschichtdickenvariation durch Kapillarwellen nicht aus. Die {\"A}nderung der Schmidtzahlabh{\"a}ngigkeit des Gasaustausches deutet vielmehr an, da{\ss} durch das Wellenfeld sich ein neuer Mechanismus des turbulenten Transports einstellt. Zur Parametrisierung des Einflusses der Wellen erscheint die mittlere quadratische Neigung der Wellen als geeignete Gr{\"o}{\ss}e. In {\"U}bereinstimmung mit Laborexperimenten an linearen Wind-Wasser-Kan{\"a}len entfaltet sich der Einflu{\ss} der Kapillarwellen in einem Schubspannungsgeschwindigkeitsbereich von u = 10-30 cm/sec (U10 = 3-8 m/sec). In diesem Bereich steigt der Gasaustausch mit u_*^2 bis u_*^3 an. Bei h{\"o}heren Geschwindigkeiten ist der Gasaustausch proportional zu u_*. Das Zusammenwirken von turbulentem Transport und chemischer Reaktion l{\"a}{\ss}t sich mit gen{\"u}gender Genauigkeit mit dem tau - Modell berechnen.},
	doi = {10.11588/heidok.00016796},
	author = {Bernd J{\"a}hne}
}
@article {jaehne1979,
	title = {Measurements of gas exchange and momentum transfer in a circular wind-water tunnel},
	journal = {Tellus},
	volume = {31},
	year = {1979},
	pages = {321--329},
	doi = {10.1111/j.2153-3490.1979.tb00911.x},
	author = {Bernd J{\"a}hne and K. O. M{\"u}nnich and U. Siegenthaler}
}
@mastersthesis {jaehne1977,
	title = {Gaschromatische Tritiumanreicherung, Trennung der Wasserstoffisotope bei Adsorption},
	year = {1977},
	note = {IUP D-100},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Die vorliegende Arbeit untersucht die M{\"o}glichkeiten gaschromatographischer Anreicherung von Tritium zur Messung von Low-Level-Proben. Es konnte ein tr{\"a}gergasfreies Verfahren entwickelt werden, das aus einer Kombination von Frontalanalyse und Verdr{\"a}ngungsentwicklung besteht. Es ist einfach zu handhaben, aber genauso effektiv wie kompliziertere bisherige Verfahren mit Tr{\"a}gergas (Kapitel 2). Verbesserungen im Kolonnenbau machen gr{\"o}{\ss}ere Anreicherungsfaktoren m{\"o}glich. Durch eine optimalere Wahl der Adsorber und den {\"U}bergang zu tieferen Temperaturen (63,2{\textdegree}K, Sieden von fl{\"u}ssigem Stickstoff unter vermindertem Druck) l{\"a}{\ss}t sich die vierfache Menge an Wasserstoff im gleichen Volumen anreichern wie mit den bisherigen gaschromatographischenVerfahren. Das gaschromatographische Verfahren ist gegen{\"u}ber dem Trennrohr schneller und platzsparender: eine 20 Nl Wasserstoffprobe l{\"a}{\ss}t sich in weniger als 2 Stunden in einer 0,3 1 Kolonne bei 63,2{\textdegree}K auf 1,3 Nl mit mehr als 99,0\% Tritiumausbeute einengen. Auch gr{\"o}{\ss}ere Mengen H2 lassen sich verarbeiten, soda{\ss} der bisherige Anreicherungsweg f{\"u}r Low-Level-Tritiumproben weiter vereinfacht werden kann (Kapitel 7). Breiten Raum nehmen grundlegende Untersuchungen ein, die erst eine optimale Parameterwahl erm{\"o}glicht haben. Im Kapitel 4 werden Grundlagen der Adsorption beschrieben und die Adsorber auf ihre Adsorptionskapazit{\"a}ten verglichen, die Theorie der Adsorption selbst findet sich in Anhang A2, die Me{\ss}verfahren in Anhang A1. Die Untersuchung der Trennfaktoren der Adsorption ist Gegenstand von Kapitel 5. Da f{\"u}r HT geeignete Trennfaktoren in der Literatur fehlen, wurden sowohl eigene Messungen unternommen, als auch versucht mit 3 Adsorptionsmodellen die Beziehung der Trennfaktoren untereinander (logarithmische Verh{\"a}ltnisse, Bigeleisenfaktoren) theoretisch zu berechnen (Kapitel 5, Anhang A3). Dabei ergab sich, da{\ss} Isotopentrennfaktoren einschlie{\ss}lich der Ortho-Para-Trennung (Kapitel 3) ein geeignetes Mittel sind, zwischen verschiedenen Vorstellungen {\"u}ber die Adsorption zu unterscheiden, was mit Isothermenmessungen nur schwer m{\"o}glich ist (Anhang A2). Das Modell einer mobilen Adsorption der H -Molek{\"u}le mit einer weitgehenden St{\"o}rung der Rotation in einer Ebene senkrecht zur Oberfl{\"a}che entspricht den Messergebnissen am besten.},
	doi = {10.5281/zenodo.9208},
	url = {http://www.ub.uni-heidelberg.de/archiv/16797},
	author = {Bernd J{\"a}hne}
}
