@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}
}
@proceedings {7079,
	title = {Assignment Flows and Nonlocal PDEs on Graphs},
	year = {2021},
	author = {Gonzalez-Alvarado, D and Zeilmann, A and Schn{\"o}rr, C}
}
@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}
}
@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 {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}
}
@unpublished {7088,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}
}
@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.}
}
@proceedings {7059,
	title = {Bayesian Evidential Deep Learning with PAC Regularization },
	year = {2020},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Kandemir, M}
}
@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}
}
@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}
}
@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 {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.}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@proceedings {6309,
	title = {Geometric Image Synthesis},
	year = {2018},
	author = {Hassan Abu Alhaija and Mustikovela, S K and Geiger, A and Carsten Rother}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@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 {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.}
}
@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 {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}
}
@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 {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.}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@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}
}
@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 {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}
}
@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 {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}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@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 {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 {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 {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 {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 {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 {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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@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 {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}
}
@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.}
}
@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}
}
@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.}
}
@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 {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 {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 {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}
}
@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 {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}
}
@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}
}
@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 {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 {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 {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.}
}
@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 {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}
}
@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 {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}
}
@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}
}
@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}
}
@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}
}
@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.}
}
@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 {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}
}
@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}
}
@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}
}
@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 {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.}
}
@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 {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}
}
@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.}
}
@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.}
}
@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}
}
@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.}
}
@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.}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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.}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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.}
}
@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}
}
@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}
}
@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}
}
@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 {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 {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}
}
@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}
}
@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.}
}
@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.}
}
@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}
}
@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 {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}
}
@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}
}
@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.}
}
@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 {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}
}
@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}
}
@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.}
}
@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}
}
@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.}
}
@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.}
}
@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 {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}
}
@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}
}
@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 {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}
}
@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}
}
@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 {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}
}
@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 {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 {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}
}
@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.}
}
@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 {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 {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 {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 {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 {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.}
}
@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.}
}
@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.}
}
@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}
}
@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}
}
@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}
}
@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 {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}
}
@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}
}
@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.}
}
@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}
}
@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 {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.}
}
@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.}
}
@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}
}
@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 {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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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}
}
@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.}
}
@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}
}
@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 {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}
}
@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.}
}
@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}
}
@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 {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}
}
@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}
}
@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 {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.}
}
@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 {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 {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}
}
@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 {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.}
}
@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}
}
@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}
}
@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 {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 {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}
}
@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 {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 {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 {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 {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}
}
@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}
}
@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 {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}
}
@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 {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}
}
@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.}
}
@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}
}
