@article {Rathke:2019aa,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {Comp. Statistics \& Data Analysis},
	volume = {140},
	year = {2019},
	pages = {41{\textendash}58},
	author = {Rathke, F. and Schn{\"o}rr, C.}
}
@article {6348,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {Comp. Statistics \& Data Analysis},
	volume = {140},
	year = {2019},
	pages = {41-58},
	doi = {10.1016/j.csda.2019.04.005},
	author = {Rathke, F and Schn{\"o}rr, C}
}
@phdthesis {klein2019,
	title = {The Fetch Dependency of Small-Scale Air-Sea Interaction Processes at Low to Moderate Wind Speeds},
	volume = {Dissertation},
	year = {2019},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	address = {Heidelberg},
	doi = {10.11588/heidok.00026559},
	author = {Angelika Klein}
}
@article {6141,
	title = {Fast median filtering for phase or orientation data},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {40},
	year = {2018},
	month = {03/2018},
	pages = {639{\textendash}652},
	doi = {10.1109/TPAMI.2017.2692779},
	author = {Martin Storath and Andreas Weinmann}
}
@article {Rathke:2018aa,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {preprint: arXiv},
	year = {2018},
	url = {https://arxiv.org/pdf/1805.07272.pdf},
	author = {Rathke, F. and Schn{\"o}rr, C.}
}
@article {6271,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {preprint: ArXiv},
	year = {2018},
	url = {https://arxiv.org/pdf/1805.07272.pdf},
	author = {Rathke, F. and Schn{\"o}rr, Cl.}
}
@article {fortun2018fast,
	title = {Fast Piecewise-Affine Motion Estimation Without Segmentation},
	journal = {IEEE Transactions on Image Processing},
	volume = {27 },
	year = {2018},
	pages = {5612 - 5624},
	author = {Denis Fortun and Martin Storath and Dennis Rickert and Andreas Weinmann and Michael Unser}
}
@article {storath2016fast,
	title = {Fast segmentation from blurred data in {3D} fluorescence microscopy},
	journal = {IEEE Transactions on Image Processing},
	volume = {26},
	year = {2017},
	month = {06/2017},
	chapter = { 4856 - 4870},
	doi = {10.1109/TIP.2017.2716843},
	author = {Martin Storath and Dennis Rickert and Michael Unser and Andreas Weinmann}
}
@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 {beier_15_fusion,
	title = {Fusion Moves for Correlation Clustering},
	booktitle = {CVPR. Proceedings},
	year = {2015},
	note = {1},
	pages = {3507-3516},
	author = {Thorsten Beier and Fred A. Hamprecht and J{\"o}rg H. Kappes}
}
@article {krall2014,
	title = {First laboratory study of air-sea gas exchange at hurricane wind speeds},
	journal = {Ocean Sci.},
	volume = {10},
	year = {2014},
	pages = {257--265},
	doi = {10.5194/os-10-257-2014},
	author = {Kerstin Ellen Krall and Bernd J{\"a}hne}
}
@article {Hosni2013,
	title = {Fast cost-volume filtering for visual correspondence and beyond},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {35},
	number = {2},
	year = {2013},
	pages = {504{\textendash}511},
	abstract = {Many computer vision tasks can be formulated as labeling problems. The desired solution is often a spatially smooth labeling where label transitions are aligned with color edges of the input image. We show that such solutions can be efficiently achieved by smoothing the label costs with a very fast edge-preserving filter. In this paper, we propose a generic and simple framework comprising three steps: 1) constructing a cost volume, 2) fast cost volume filtering, and 3) Winner-Takes-All label selection. Our main contribution is to show that with such a simple framework state-of-the-art results can be achieved for several computer vision applications. In particular, we achieve 1) disparity maps in real time whose quality exceeds those of all other fast (local) approaches on the Middlebury stereo benchmark, and 2) optical flow fields which contain very fine structures as well as large displacements. To demonstrate robustness, the few parameters of our framework are set to nearly identical values for both applications. Also, competitive results for interactive image segmentation are presented. With this work, we hope to inspire other researchers to leverage this framework to other application areas. {\textcopyright} 2012 IEEE.},
	keywords = {Interactive Image Segmentation, optical flow, Stereo Matching},
	issn = {01628828},
	doi = {10.1109/TPAMI.2012.156},
	author = {Hosni, Asmaa and Rhemann, Christoph and Bleyer, Michael and Carsten Rother and Gelautz, Margrit}
}
@article {krall2013a,
	title = {First air-sea gas exchange laboratory study at hurricane wind speeds},
	journal = {Ocean Sci. Discuss.},
	volume = {10},
	year = {2013},
	pages = {1971--1996},
	doi = {10.5194/osd-10-1971-2013},
	url = {www.ocean-sci-discuss.net/10/1971/2013/},
	author = {Kerstin Ellen Krall and Bernd J{\"a}hne}
}
@phdthesis {lin2012,
	title = {Fluorescence Lifetime Imaging Camera: Image Analysis, Optimization and Enhancement},
	volume = {Dissertation},
	year = {2012},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/13546},
	author = {Zhuang Lin}
}
@conference {yarlagadda:ECCV:2012,
	title = {From Meaningful Contours to Discriminative Object Shape},
	booktitle = {Proceedings of the European Conference on Computer Vision},
	volume = {7572},
	year = {2012},
	pages = {766--779},
	publisher = {Springer},
	organization = {Springer},
	author = {Yarlagadda, P. and Bj{\"o}rn Ommer}
}
@phdthesis {winter2011,
	title = {Fluorescent Tracers for air-sided Concentration Profile Measurements at the Air-Water Interface},
	volume = {Dissertation},
	year = {2011},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/12105},
	author = {Rene Winter}
}
@mastersthesis {becker_11_framework,
	title = {Framework for 3D Reconstruction and Camera Motion. Estimation from
Multiple Camera Views},
	year = {2011},
	note = {1},
	school = {University of Heidelberg},
	author = {Becker, M.}
}
@conference {wanner_11_framework,
	title = {A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	note = {1},
	pages = {199-206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Eisert, P. and Joachim Hornegger and Konrad Polthier}
}
@conference {wanner2011,
	title = {A framework for interactive visualization and classification of dynamical processes at the water surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	pages = {199--206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Jung, M. and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier}
}
@conference {Lellmann2010a,
	title = {Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision},
	booktitle = {European Conference on Computer Vision (ECCV)},
	series = {LNCS},
	volume = {6312},
	year = {2010},
	pages = {494{\textendash}505},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Lellmann, J. and Breitenreicher, D. and Schn{\"o}rr, C.},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {Lellmann2010a,
	title = {Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6312},
	year = {2010},
	pages = {494--505},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Lellmann, J. and Breitenreicher, D. and Christoph Schn{\"o}rr},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@article {boerner_10_from,
	title = {From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication},
	journal = {Biotechnology Journal},
	volume = {5},
	year = {2010},
	note = {1},
	pages = {39-49},
	doi = {10.1002/biot.200900226},
	author = {B{\"o}rner, K. and Hermle, J. and Christoph Sommer and Brown, N. P. and Knapp, B. and Glass, B. and Torralba, G. and Reymann, J. and Beil, N. and Beneke, J. and Pepperkok, R. and Schneider, R. and Ludwig, T.}
}
@article {Lempitsky2010,
	title = {Fusion moves for markov random field optimization},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {32},
	number = {8},
	year = {2010},
	pages = {1392{\textendash}1405},
	abstract = {The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one possible way of achieving this by using graph cuts to combine pairs of suboptimal labelings or solutions. We call this combination process the fusion move. By employing recently developed graph-cut-based algorithms (so-called QPBO-graph cut), the fusion move can efficiently combine two proposal labelings in a theoretically sound way, which is in practice often globally optimal. We demonstrate that fusion moves generalize many previous graph-cut approaches, which allows them to be used as building blocks within a broader variety of optimization schemes than were considered before. In particular, we propose new optimization schemes for computer vision MRFs with applications to image restoration, stereo, and optical flow, among others. Within these schemes the fusion moves are used 1) for the parallelization of MRF optimization into several threads, 2) for fast MRF optimization by combining cheap-to-compute solutions, and 3) for the optimization of highly nonconvex continuous-labeled MRFs with 2D labels. Our final example is a nonvision MRF concerned with cartographic label placement, where fusion moves can be used to improve the performance of a standard inference method (loopy belief propagation). {\textcopyright} 2006 IEEE.},
	keywords = {Combinatorial algorithms, Computer vision, Graph algorithms, Image restoration., Markov random fields, Motion, Stereo},
	issn = {01628828},
	doi = {10.1109/TPAMI.2009.143},
	author = {Lempitsky, Victor and Carsten Rother and Roth, Stefan and Blake, Andrew}
}
@article {Lempitsky2010a,
	title = {Fusion moves for markov random field optimization},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {32},
	number = {8},
	year = {2010},
	pages = {1392{\textendash}1405},
	abstract = {The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one possible way of achieving this by using graph cuts to combine pairs of suboptimal labelings or solutions. We call this combination process the fusion move. By employing recently developed graph-cut-based algorithms (so-called QPBO-graph cut), the fusion move can efficiently combine two proposal labelings in a theoretically sound way, which is in practice often globally optimal. We demonstrate that fusion moves generalize many previous graph-cut approaches, which allows them to be used as building blocks within a broader variety of optimization schemes than were considered before. In particular, we propose new optimization schemes for computer vision MRFs with applications to image restoration, stereo, and optical flow, among others. Within these schemes the fusion moves are used 1) for the parallelization of MRF optimization into several threads, 2) for fast MRF optimization by combining cheap-to-compute solutions, and 3) for the optimization of highly nonconvex continuous-labeled MRFs with 2D labels. Our final example is a nonvision MRF concerned with cartographic label placement, where fusion moves can be used to improve the performance of a standard inference method (loopy belief propagation). {\textcopyright} 2006 IEEE.},
	keywords = {Combinatorial algorithms, Computer vision, Graph algorithms, Image restoration., Markov random fields, Motion, Stereo},
	issn = {01628828},
	doi = {10.1109/TPAMI.2009.143},
	author = {Lempitsky, Victor and Carsten Rother and Roth, Stefan and Blake, Andrew}
}
@mastersthesis {daume2010,
	title = {Fusion von Midwave-infrared- und Longwave-infrared-W{\"a}rmebildger{\"a}ten zur Klassifizierung von Flugobjekten},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Dominik Daume}
}
@conference {baehnisch_09_fast,
	title = {Fast and Accurate 3D Edge Detection for Surface Reconstruction},
	booktitle = {Pattern Recognition},
	volume = {5748},
	year = {2009},
	pages = {111-120},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03798-6},
	author = {B{\"a}hnisch, C. and Stelldinger, P. and Ullrich K{\"o}the}
}
@conference {nagel2009a,
	title = {First results from the 2009 SOPRAN active thermography pilot experiment in the Baltic Sea},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {To improve the parametrization of the transfer velocities a novel active thermography system was developed. At the end of SOPRAN 1 it has been deployed in a pilot experiment at the bow of the research vessel FS Alkor in the Baltic sea. A periodically varying heat flux is applied by a CO2-laser. The transfer velocity is estimated by the amplitude damping and phase shift of the temperature signal in the Fourier domain, gained from the infrared images of the water surface. First results are shown. The system will be used in the second phase of the SOPRAN project on a regular base. Together with eddy covariance measurements deployed from FINO 2, a significant improvement of the parametrization of the heat an gas transfer velocities can be expected.},
	author = {Leila Nagel and Uwe Schimpf and Bernd J{\"a}hne}
}
@article {thieke_09_framework,
	title = {A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy},
	journal = {Strahlentherapie und Onkologie},
	volume = {185},
	number = {Suppl. 1},
	year = {2009},
	pages = {81},
	author = {Thieke, C. and Nix, O. and Koehn, A. and Floca, R. and van Straaten, D. and Hahn, H. and Strauss, L. G. and Siems, U. and Graf, M. and Pruem, H. and Klein, J. and Laue, H. and F. O. Kaster}
}
@conference {Torresani2008a,
	title = {Feature correspondence via graph matching: Models and global optimization},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5303 LNCS},
	number = {PART 2},
	year = {2008},
	pages = {596{\textendash}609},
	abstract = {In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter and occlusion, such as points extracted from a pair of images containing a human figure in distinct poses. We formulate this matching task as an energy minimization problem by defining a complex objective function of the appearance and the spatial arrangement of the features. Optimization of this energy is an instance of graph matching, which is in general a NP-hard problem. We describe a novel graph matching optimization technique, which we refer to as dual decomposition (DD), and demonstrate on a variety of examples that this method outperforms existing graph matching algorithms. In the majority of our examples DD is able to find the global minimum within a minute. The ability to globally optimize the objective allows us to accurately learn the parameters of our matching model from training examples. We show on several matching tasks that our learned model yields results superior to those of state-of-the-art methods. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886850},
	issn = {03029743},
	doi = {10.1007/978-3-540-88688-4-44},
	author = {Torresani, Lorenzo and Kolmogorov, Vladimir and Carsten Rother}
}
@conference {Torresani2008,
	title = {Feature correspondence via graph matching: Models and global optimization},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5303 LNCS},
	number = {PART 2},
	year = {2008},
	pages = {596{\textendash}609},
	abstract = {In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter and occlusion, such as points extracted from a pair of images containing a human figure in distinct poses. We formulate this matching task as an energy minimization problem by defining a complex objective function of the appearance and the spatial arrangement of the features. Optimization of this energy is an instance of graph matching, which is in general a NP-hard problem. We describe a novel graph matching optimization technique, which we refer to as dual decomposition (DD), and demonstrate on a variety of examples that this method outperforms existing graph matching algorithms. In the majority of our examples DD is able to find the global minimum within a minute. The ability to globally optimize the objective allows us to accurately learn the parameters of our matching model from training examples. We show on several matching tasks that our learned model yields results superior to those of state-of-the-art methods. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886850},
	issn = {03029743},
	doi = {10.1007/978-3-540-88688-4-44},
	author = {Torresani, Lorenzo and Kolmogorov, Vladimir and Carsten Rother}
}
@conference {Lempitsky2008,
	title = {FusionFlow: Discrete-continuous optimization for optical flow estimation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely on continuous optimization algorithms. The modeling accuracy of the energy in this case is often traded for its tractability. This is in contrast to the related problem of narrow-baseline stereo matching, where the top-performing methods employ powerful discrete optimization algorithms such as graph cuts and message-passing to optimize highly non-convex energies. In this paper, we demonstrate how similar non-convex energies can be formulated and optimized discretely in the context of optical flow estimation. Starting with a set of candidate solutions that are produced by fast continuous flow estimation algorithms, the proposed method iteratively fuses these candidate solutions by the computation of minimum cuts on graphs. The obtained continuous-valued fusion result is then further improved using local gradient descent. Experimentally, we demonstrate that the proposed energy is an accurate model and that the proposed discrete-continuous optimization scheme not only finds lower energy solutions than traditional discrete or continuous optimization techniques, but also leads to flow estimates that outperform the current state-of-the-art. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587751},
	author = {Lempitsky, Victor and Roth, Stefan and Carsten Rother}
}
@conference {garbe2007,
	title = {Fluid flow estimation through integration of physical flow configurations},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {92--101},
	publisher = {Springer},
	organization = {Springer},
	abstract = {The measurement of fluid flows is an emerging field for optical flow computation. In a number of such applications, a tracer is visualized with modern digital cameras. Due to the projective nature of the imaging process, the tracer is integrated across a velocity profile. In this contribution, a novel technique is presented that explicitly models brightness changes due to this integration. Only through this modeling is an accurate estimation of the flow velocities feasible. Apart from an accurate measurement of the fluid flow, also the underlying velocity profile can be reconstructed. Applications from shear flow, microfluidics and a biological applications are presented.},
	doi = {10.1007/978-3-540-74936-3_10},
	author = {Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@conference {menze_07_from,
	title = {From eigenspots to fisherspots -- latent spaces in the nonlinear detection of spot patterns in a highly variable background},
	booktitle = {Advances in data analysis},
	volume = {33},
	year = {2007},
	note = {1},
	pages = {255-262},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-70981-7_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht},
	editor = {Lenz, H.-J. and Decker, R.}
}
@article {Blake2007,
	title = {Fusion of stereo, colour and contrast},
	journal = {Springer Tracts in Advanced Robotics},
	volume = {28},
	year = {2007},
	issn = {16107438},
	doi = {10.1007/978-3-540-48113-3_27},
	url = {www.research.microsoft.com/vision/cambridge},
	author = {Blake, A and Criminisi, A and Cross, G and Kolmogorov, V and Carsten Rother}
}
@conference {Neumann-et-al-03a,
	title = {Feasible Adaption Criteria for Hybrid Wavelet {\textendash} Large Margin Classifiers},
	booktitle = {Proc. Computer Analysis of Images and Patterns (CAIP{\textquoteright}03)},
	series = {LNCS},
	volume = {2756},
	year = {2003},
	pages = {588{\textendash}595},
	publisher = {Springer},
	organization = {Springer},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.},
	editor = {Petkov, N. and Westenberg, M.A.}
}
@phdthesis {cavallo2002,
	title = {Four dimensional particle tracking in biological dynamic processes},
	year = {2002},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Here is presented a general approach to data analysis in multidimensional space using the run length encoding process and volume field method. A study on volume field was carried in order to test the limits on the method and testing against simple Gaussian objects (spots) was made: quantitative measurement was then carried using an angle distribution parameter between the computed results and the expected values. An application of volume field method was tested against results from simulations of chromosome territories using the spherical loop domain (SCD) and the quantitative comparison was made in order to clarify real applications in biologic related field. Two experiment were made, using the run length encoding method. From biological samples subjected to in vivo labeling an then to FISH hybridization, we analyzed the sub-chromosomal movements to see if there were modifications to the underlying structures: we quantify these displacements and compared to other measurements made with other methods. A time recorded HeLA cell sample in vivo labeled was analyzed and his internal marked chromosomes were tracked to analyze displacements related to the activities: here, using the run length encoding, spots were tracked and extracted. A successive Monte Carlo minimization algorithm was used in order to reduce systematic errors.},
	url = {http://www.ub.uni-heidelberg.de/archiv/2471/},
	author = {Cavallo, Antonio}
}
@article {jaehne_02_anspruchsvolle,
	title = {F{\"u}r Anspruchsvolle - Multidimensionale Bildverarbeitung in der Produktion},
	journal = {Qualit{\"a}t und Zuverl{\"a}ssigkeit},
	volume = {47},
	year = {2002},
	pages = {1154-1159},
	author = {Bernd J{\"a}hne and Martin Brocke and H. Eisele and S. Hader and Fred A. Hamprecht and W. Happold and Florian Raisch and J. Restle}
}
@article {Weickert-et-al-01a,
	title = {Fast parallel algorithms for a broad class of nonlinear variational diffusion approaches},
	journal = {Real{\textendash}Time Imaging},
	volume = {7},
	number = {1},
	year = {2001},
	pages = {31{\textendash}45},
	author = {Weickert, J. and Heers, J. and Schn{\"o}rr, C. and Zuiderveld, K.{\textendash}J. and Scherzer, O. and Stiehl, H.{\textendash}S.}
}
@article {hamprecht_01_fibrillation,
	title = {Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation},
	journal = {Resuscitation},
	volume = {50},
	year = {2001},
	pages = {287-296},
	author = {Fred A. Hamprecht and Achleitner, U. and Krismer, A. C. and Lindner, K. H. and Wenzel, V. and Strohmenger, H.-U. and Thiel, W. and van Gunsteren, W. F.}
}
@incollection {barron2001,
	title = {The fusion of image and range flow},
	year = {2001},
	pages = {174--192},
	publisher = {Springer},
	doi = {10.1007/3-540-45134-X_13},
	author = {John L. Barron and Hagen Spies},
	editor = {R. Klette and Huang, T. and Gimel{\textquoteright}farb, G.}
}
@conference {scharr2000c,
	title = {Flame front analysis in turbulent combustion},
	booktitle = {Mustererkennung 2000},
	year = {2000},
	pages = {325--332},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-59802-9_41},
	author = {Hanno Scharr and Bernd J{\"a}hne and S. B{\"o}ckle and J. Kazenwadel and T. Kunzelmann and C. Schulz and N. Kr{\"u}ger},
	editor = {G. Sommer and Ch. Perwasser}
}
@incollection {eichkorn2000,
	title = {Fluorescence imaging of air-water gas exchange},
	year = {2000},
	pages = {644-645},
	publisher = {Academic Press},
	chapter = {A18},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {hausecker2000d,
	title = {Fuzzy image processing},
	year = {2000},
	pages = {541--576},
	publisher = {Academic Press},
	chapter = {16},
	author = {Horst Hau{\ss}ecker and Hamid R. Tizhoosh and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@incollection {noffz1999,
	title = {Field Programmable Gate Array image processing},
	volume = {3: Systems and Applications},
	year = {1999},
	publisher = {Academic Press},
	chapter = {2},
	author = {Noffz, K.-H. and Lay, R. and M{\"a}nner, R. and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {koehler1999,
	title = {Fluidisation and deformation of submerged soil due to fluctuating water level},
	booktitle = {XII Europ. Conference on Soil Mechanics and Geotechnical Engineering},
	year = {1999},
	pages = {1109--1115},
	author = {H.-J. K{\"o}hler and Hagen Spies and Oliver Beringer and Horst Hau{\ss}ecker}
}
@incollection {eichkorn1999,
	title = {Fluorescenceimaging of air-water gas exchange},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {647-662},
	publisher = {Academic Press},
	chapter = {30},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {haussecker1999g,
	title = {Fuzzy image processing},
	volume = {2: Signal Processing and Pattern Recognition},
	year = {1999},
	pages = {683--727},
	publisher = {Academic Press},
	chapter = {22},
	author = {Horst Hau{\ss}ecker and Hamid R. Tizhoosh and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {muensterer1996a,
	title = {A fluorescence technique to measure concentration profiles in the aqueous mass boundary layer},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {517--522},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13995},
	author = {Thomas M{\"u}nsterer and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@mastersthesis {schimpf1996,
	title = {Fourieranalyse mikroskaliger Temperaturfluktuationen der Wasseroberfl{\"a}che},
	year = {1996},
	school = {University of Heidelberg},
	author = {Uwe Schimpf}
}
@conference {hering1995c,
	title = {Flow- and wave-fields associated with micro-scale wave breaking as measured simultaneously by particle tracking and wave slope visualization},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {385},
	abstract = {Longuet-Higgins predicted the development of a capillary roller at the crest of a short gravity wave, being the consequence of the existence of parasitic capillaries, (Capillary rollers and bores, J. Fluid Mech, Jan. 1992). According to the theory any free surface, at which the tangential stress vanishes, a surface vorticity is produced. The mean vorticity at the edge of the Stokes layer is of the order of 2(ak) f, ak being the slope and f the radian frequency of the wave. Hence capillary waves, with a high value of a are accompanied by particular large vorticity feeding the vortex roler at the crest of a short gravity wave. This phenomenon has been investigated at the circular facility of the Institute for Environmental Physics. At the same location, simultaneous time series of wave slope images and the Lagrangian flow field were obtained using an integrated optical set-up, including particle-tracking and wave-slope instruments. The particle tracking measurement yields drift- and bulk-velocities, Reynold stresses and the vorticity distribution beneath the wave, while the imaging wave slope gauges gives the 2D-slope and the height of the waves. First results from the measurement campaign of early 1995 will be presented.},
	author = {Frank Hering and G{\"u}nther Balschbach and M. Menzel and Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {dieter1994a,
	title = {Flow measurements close to the free air/sea interface},
	booktitle = {Proceedings of the 7th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994},
	volume = {II},
	year = {1994},
	pages = {22.2.1--6},
	author = {Jochen Dieter and Roland Bremeyer and Frank Hering}
}
@article {Schnoerr-pami-93,
	title = {On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow},
	journal = {pami},
	volume = {15},
	number = {10},
	year = {1993},
	pages = {1074{\textendash}1079},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1991,
	title = {From mean fluxes to a detailed experimental investigation of the gas transfer process},
	booktitle = {2nd International Symposium on Gas Transfer at Water Surfaces - Air--Water Mass Transfer, Minneapolis 1990},
	year = {1991},
	pages = {244--256},
	publisher = {ASCE},
	organization = {ASCE},
	doi = {10.5281/zenodo.12204},
	author = {Bernd J{\"a}hne},
	editor = {Wilhelms, S. C. and John S. Gulliver}
}
@phdthesis {Schnoerr-diss,
	title = {Funktionalanalytische Methoden zur Bestimmung von Bewegungsinformation aus TV-Bildfolgen},
	year = {1991},
	publisher = {Fakult{\"a}t f{\"u}r Informatik, Universit{\"a}t Karlsruhe (TH)},
	type = {phd},
	author = {Schn{\"o}rr, C.}
}
@inbook {halsema1989a,
	title = {First results of the VIERS-1 experiment},
	booktitle = {Radar Scattering from Modulated Wind Waves},
	year = {1989},
	pages = {49--57},
	publisher = {Kluwer Academic Publishers},
	organization = {Kluwer Academic Publishers},
	doi = {10.1007/978-94-009-2309-6_5},
	author = {Halsema, D. and Bernd J{\"a}hne and C. J. Calkoen and P. Snoeij},
	editor = {W. A. Oost and Komen, G. J. and W. A. Oost}
}
