@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}
}
@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}
}
@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 {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}
}
@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}
}
@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 {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 {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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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 {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 {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}
}
@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}
}
@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.}
}
@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.}
}
@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 {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}
}
@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}
}
@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 {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}
}
@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 {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 {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 {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 {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}
}
