@proceedings {7064,
	title = {Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting},
	year = {2020},
	month = {08-2020},
	abstract = {The search for specific objects or motifs is essential to art history as both assist in decoding the meaning of artworks. Digitization has produced large art collections, but manual methods prove to be insufficient to analyze them. In the following, we introduce an algorithm that allows users to search for image regions containing specific motifs or objects and find similar regions in an extensive dataset, helping art historians to analyze large digitized art collections. Computer vision has presented efficient methods for visual instance retrieval across photographs. However, applied to art collections, they reveal severe deficiencies because of diverse motifs and massive domain shifts induced by differences in techniques, materials, and styles. In this paper, we present a multi-style feature fusion approach that successfully reduces the domain gap and improves retrieval results without labelled data or curated image collections. Our region-based voting with GPU-accelerated approximate nearest-neighbour search allows us to find and localize even small motifs within an extensive dataset in a few seconds. We obtain state-of-the-art results on the Brueghel dataset and demonstrate its generalization to inhomogeneous collections with a large number of distractors.},
	doi = {https://doi.org/10.1007/978-3-030-66096-3_12},
	author = {Nikolai Ufer and Sabine Lang and Bj{\"o}rn Ommer}
}
@conference {Adler2019,
	title = {Out of Distribution Detection for Intra-operative Functional Imaging},
	booktitle = {MICCAI UNSURE Workshop 2019},
	volume = {11840 LNCS},
	year = {2019},
	pages = {75{\textendash}82},
	abstract = {Multispectral optical imaging is becoming a key tool in the operating room. Recent research has shown that machine learning algorithms can be used to convert pixel-wise reflectance measurements to tissue parameters, such as oxygenation. However, the accuracy of these algorithms can only be guaranteed if the spectra acquired during surgery match the ones seen during training. It is therefore of great interest to detect so-called out of distribution (OoD) spectra to prevent the algorithm from presenting spurious results. In this paper we present an information theory based approach to OoD detection based on the widely applicable information criterion (WAIC). Our work builds upon recent methodology related to invertible neural networks (INN). Specifically, we make use of an ensemble of INNs as we need their tractable Jacobians in order to compute the WAIC. Comprehensive experiments with in silico, and in vivo multispectral imaging data indicate that our approach is well-suited for OoD detection. Our method could thus be an important step towards reliable functional imaging in the operating room.},
	issn = {16113349},
	doi = {10.1007/978-3-030-32689-0_8},
	author = {Adler, Tim J and Ayala, Leonardo and Lynton Ardizzone and Kenngott, Hannes G and Vemuri, Anant and M{\"u}ller-Stich, Beat P and Carsten Rother and Ullrich K{\"o}the and Maier-Hein, Lena}
}
@article {6210,
	title = {An Objective Comparison of Cell Tracking Algorithms},
	journal = {Nature Methods},
	volume = {14},
	year = {2017},
	pages = {1141-1152},
	doi = {10.1038/NMETH.447},
	author = {Ulman, V. and Ma{\v s}ka, M. and Magnusson, K .E. G. and Ronneberger, O. and Haubold, C. and Harder, N. and Matula, P. and Matula, P. and Svoboda, D. and Radojevic, M. and Smal, I. and Karl Rohr and Jald{\'e}n, J. and Blau, H. M. and Dzyubachyk, O. and Lelieveldt, B. and Xiao, P. and Li, Y. and Cho, S-Y. and Dufour, A. and Olivo-Marin, J. C. and Reyes-Aldasoro, C. C. and Solis-Lemus, J. A. and Bensch, R. and Brox, T. and Stegmaier, J. and Mikut, R. and Wolf, S. and Fred A. Hamprecht and Esteves, T. and Quelhas, P. and Demirel, {\"O}. and Malstr{\"o}m, L. and Jug, F. and Toman{\v c}{\'a}k, P. and Meijering, E. and Mu{\~n}oz-Barrutia, A. and Kozubek, M. and Ortiz-de-Solorzano, C.}
}
@article {6188,
	title = {Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation},
	journal = {Nature Communications},
	year = {2017},
	pages = {(ASW \& UB contributed equally; BO and MES contributed equally)},
	doi = {10.1038/s41467-017-01090-6},
	url = {https://www.nature.com/articles/s41467-017-01090-6},
	author = {Anna-Sophia Wahl and Uta B{\"u}chler and A. Br{\"a}ndli and Biagio Brattoli and S. Musall and H. Kasper and B.V. Ineichen and F. Helmchen and Bj{\"o}rn Ommer and M. E. Schwab}
}
@conference {Zheng2015,
	title = {Object proposals estimation in depth image using compact 3D shape manifolds},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9358},
	year = {2015},
	pages = {196{\textendash}208},
	abstract = {Man-made objects, such as chairs, often have very large shape variations, making it challenging to detect them. In this work we investigate the task of finding particular object shapes from a single depth image. We tackle this task by exploiting the inherently low dimensionality in the object shape variations, which we discover and encode as a compact shape space. Starting from any collection of 3D models, we first train a low dimensional Gaussian Process Latent Variable Shape Space. We then sample this space, effectively producing infinite amounts of shape variations, which are used for training. Additionally, to support fast and accurate inference, we improve the standard 3D object category proposal generation pipeline by applying a shallow convolutional neural network-based filtering stage. This combination leads to considerable improvements for proposal generation, in both speed and accuracy. We compare our full system to previous state-of-the-art approaches, on four different shape classes, and show a clear improvement.},
	isbn = {9783319249469},
	issn = {16113349},
	doi = {10.1007/978-3-319-24947-6_16},
	author = {Zheng, Shuai and Prisacariu, Victor Adrian and Averkiou, Melinos and Cheng, Ming Ming and Mitra, Niloy J and Shotton, Jamie and Torr, Philip H.S. and Carsten Rother}
}
@article {jaehne2015c,
	title = {The ocean in the lab: measurements with light and shadow},
	journal = {Ruperto Carola Forschungsmagazin Heidelberg University},
	volume = {7},
	year = {2015},
	pages = {52{\textendash}59},
	doi = {10.17885/heiup.ruca.23497},
	author = {Bernd J{\"a}hne}
}
@article {friedl2015,
	title = {Optical sensing of oxygen using a modified Stern-Volmer equation for high laser irradiance},
	journal = {Sensors and Actuators B: Chemical},
	volume = {206},
	year = {2015},
	pages = {336{\textendash}342},
	doi = {10.1016/j.snb.2014.09.073},
	author = {Felix Friedl and Nils Krah and Bernd J{\"a}hne}
}
@article {friedl2015,
	title = {Optical sensing of oxygen using a modified Stern-Volmer equation for high laser irradiance},
	journal = {Sensors and Actuators B: Chemical},
	volume = {206},
	year = {2015},
	note = {Available online 30 September 2014},
	pages = {336--342},
	doi = {10.1016/j.snb.2014.09.073},
	author = {Felix Friedl and Nils Krah and Bernd J{\"a}hne}
}
@conference {takami:WACV:2014,
	title = {Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM},
	booktitle = {Winter Conference on Applications of Computer Vision},
	year = {2014},
	pages = {377--384},
	publisher = {IEEE},
	organization = {IEEE},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6836075},
	author = {Takami, M. and Bell, P. and Bj{\"o}rn Ommer}
}
@incollection {Becker2014,
	title = {Optical Flow},
	year = {2014},
	note = {in press},
	publisher = {Springer},
	edition = {2nd},
	author = {Florian Becker and Petra, Stefania and Christoph Schn{\"o}rr},
	editor = {Scherzer, O.}
}
@phdthesis {kiefhaber2014,
	title = {Optical Measurement of Short Wind Waves --- from the Laboratory to the Field},
	volume = {Dissertation},
	year = {2014},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/16304},
	author = {Daniel Kiefhaber}
}
@article {Jug2014,
	title = {Optimal joint segmentation and tracking of escherichia coli in the mother machine},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8677},
	year = {2014},
	pages = {25{\textendash}36},
	abstract = {We introduce a graphical model for the joint segmentation and tracking of E. coli cells from time lapse videos. In our setup cells are grown in narrow columns (growth channels) in a so-called {\textquotedblleft}Mother Machine{\textquotedblright} [1]. In these growth channels, cells are vertically aligned, grow and divide over time, and eventually leave the channel at the top. The model is built on a large set of cell segmentation hypotheses for each video frame that we extract from data using a novel parametric max-flow variation. Possible tracking assignments between segments across time, including cell identity mapping, cell division, and cell exit events are enumerated. Each such assignment is represented as a binary decision variable with unary costs based on image and object features of the involved segments. We find a cost-minimal and consistent solution by solving an integer linear program. We introduce a new and important type of constraint that ensures that cells exit the Mother Machine in the correct order. Our method finds a globally optimal tracking solution with an accuracy of > 95\% (1.22 times the inter-observer error) and is on average 2 - 11 times faster than the microscope produces the raw data.},
	issn = {16113349},
	doi = {10.1007/978-3-319-12289-2_3},
	author = {Jug, Florian and Pietzsch, Tobias and Kainm{\"u}ller, Dagmar and Funke, Jan and Kaiser, Matthias and van Nimwegen, Erik and Carsten Rother and Myers, Gene}
}
@phdthesis {wanner2014,
	title = {Orientation Analysis in 4D Light Fields},
	volume = {Dissertation},
	year = {2014},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00016439},
	author = {Sven Wanner}
}
@phdthesis {wanner2014,
	title = {Orientation Analysis in 4D Light Fields},
	year = {2014},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/16439},
	author = {Sven Wanner}
}
@conference {SchmitzerSchnoerr-EMMCVPR2013,
	title = {Object Segmentation by Shape Matching with Wasserstein Modes},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013)},
	year = {2013},
	pages = {123-136},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@conference {kiefhaber2013,
	title = {Optical measurement of surface ocean waves},
	booktitle = {3rd EOS Topical Meeting on Blue Photonics --- Optics in the Sea},
	year = {2013},
	note = {best student poster award},
	doi = {10.5281/zenodo.12334},
	author = {Daniel Kiefhaber and Roland Rocholz and Paulus Salomon Bauer and Bernd J{\"a}hne}
}
@phdthesis {atif2013a,
	title = {Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations},
	volume = {Dissertation},
	year = {2013},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00015594},
	author = {Muhammad Atif}
}
@phdthesis {atif2013a,
	title = {Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations},
	year = {2013},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/15594},
	author = {Atif, Muhammad}
}
@article {atif2013,
	title = {Optimal Depth Estimation from a Single Image by Computational Imaging Using Chromatic Aberrations},
	journal = {tm --- Technisches Messen},
	volume = {80},
	year = {2013},
	pages = {343--348},
	abstract = {We present a computational imaging approach to estimate the depth from a single image using axial chromatic aberrations. It includes a co-design of optics and digital processing to select the optimal parameters of a lens such as focal length, f-number, and chromatic focal shift according to the performance of a depth estimation algorithm on the digital side. A simulation framework evaluates the complete systems performance in different imaging conditions including optimal axial chromatic lens aberration. A low-complexity algorithm estimates the depth map of real scenes. Experiments on real and synthetic scenes show the feasibility of the proposed system for depth estimation. In the case of relatively broadband object spectra and a lens with focal length of 4 mm, depth is estimated with an RMS error of 6{\textendash}10\%.},
	doi = {10.1515/teme.2013.0042},
	author = {Atif, Muhammad and Bernd J{\"a}hne}
}
@article {lellmann_13_optimality,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning
Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47 (3)},
	year = {2013},
	note = {1},
	pages = {239-257},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr}
}
@article {horvat_12_one,
	title = {One plus one makes three (for social networks)},
	journal = {PLoS ONE},
	volume = {4,7},
	year = {2012},
	doi = {10.1371/journal.pone.0034740},
	author = {Horvát, E.-Á. and Hanselmann, M. and Fred A. Hamprecht and K. A. Zweig}
}
@article {andres2012opengm,
	title = {OpenGM: A C++ Library for Discrete Graphical Models},
	journal = {ArXiv e-prints},
	year = {2012},
	note = {Projectpage: http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {Bj{\"o}rn Andres and Thorsten Beier and Kappes, J{\"o}rg H.}
}
@conference {mischler2012,
	title = {Optical measurements of bubbles and spray in wind/water facilities at high wind speeds},
	booktitle = {12th International Triennial Conference on Liquid Atomization and Spray Systems 2012, Heidelberg (ICLASS 2012)},
	year = {2012},
	abstract = {An optical imaging technique for the measurement of the size and velocity distribution of bubbles and droplets is presented. This method was used in a wind-wave tank at high wind-speeds to investigate bubble populations and spray generated by breaking water-waves. These measurements help to model bubble and spray induced gas exchange between atmosphere and ocean. The setup consists of a 2040  1088 CMOS-camera (Basler acA2000-340km, 5.5 mum pixel size), which is used in a telecentric bright-field setup. Thus bubbles or droplets between the light source and the camera become visible in the images as dark disks because of light scattering. For illumination, a single high-power LED (Cree XP-E) in a telecentric illumination system is used. This LED is operated in a pulsed mode with pulse lengths smaller than 2 mus. This is the effective exposure time. In order to acquire two images with a small temporal distance, the camera is set to maximal exposure time. The first image is recorded by flashing the LED at the end of the first exposure and the second image by flashing at the beginning of the second exposure. The effective time difference of consecutive exposures was between 1 mus and twice the exposure time of the camera. The telecentricity (only rays parallel to the optical axis contribute to the images) of the optics reduces the error of the size estimation of the bubbles/droplets. In addition the position along the optical axis can be estimated by a depth from defocus method. With this information it is also possible to determine the measuring volume to estimate the bubble/spray-number density. The size range of this technique is determined by the pixel and sensor size and by the resolution of the lens. Here, a lens with a working distance of 135 mm and a magnification of 0.37 is used, so that one pixel corresponds to 15 mum in object space. With this setup a radius range of 40 mum - 5000 mum can be imaged. The main source for the error of the radius is the blurring of the edges due to defocus. Therefore the accuracy depends on the quality of telecentricity and complexity of image processing. For bubbles with a radius larger than 10 px the error is below 1 \% when using simple image processing. This error can be reduced significantly by using elaborate image processing, which is also able to detect bubbles as small as 3 px in size. Different image processing algorithms for spherical objects are presented and investigated regarding accuracy. Bubbles or droplets which show deviation from sphere shape introduce problems for the image processing. For bubbles in still water, such deviations are typically found for radii of greater than 500 mum. Capabilities and limits of the technique are addressed on the example of two experiments. Test measurements were conducted at the high wind speed wind-wave tank in Kyoto, Japan at a wind speed of 42 m/s. This experiment showed that distributions of bubbles can be measured at high wind speeds with no problems in regions, which are not near to the water surface (> 2 cm). For regions close to the interface the image processing algorithms need to be adjusted, since portions of the illumination can be occluded by waves. It is shown with an experiment in the small linear wind/wave facility in Heidelberg, that this technique also works for spray measurements. Systematic measurements of spray could not be conducted in Kyoto, since the walls of the tank were covered by a thin film of water caused by the spray, which heavily disturbed the optical path.},
	doi = {10.5281/zenodo.10957},
	author = {Wolfgang Mischler and Bernd J{\"a}hne}
}
@article {jaehne2012b,
	title = {Optik, Photonik und Bildverarbeitung --- eine spannende Reise},
	journal = {Optik \& Photonik},
	volume = {7},
	number = {1},
	year = {2012},
	pages = {2--3},
	doi = {10.1002/opph.201290010},
	author = {Bernd J{\"a}hne}
}
@conference {atif2012,
	title = {Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {23--34},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Atif, Muhammad and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {erz2012,
	title = {Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {35--46},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@article {Lellmann-et-al-12,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47},
	number = {3},
	year = {2012},
	pages = {239-257},
	publisher = {Springer},
	issn = {0924-9907},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@article {Lellmann-et-al-12,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47},
	number = {3},
	year = {2012},
	pages = {239-257},
	publisher = {Springer},
	issn = {0924-9907},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr}
}
@article {meister2012,
	title = {Outdoor stereo camera system for the generation of real-world benchmark data sets},
	journal = {Opt. Eng.},
	volume = {51},
	year = {2012},
	pages = {021107},
	doi = {10.1117/1.OE.51.2.021107},
	author = {Stephan Meister and Bernd J{\"a}hne and Daniel Kondermann}
}
@article {meister_12_outdoor,
	title = {Outdoor Stereo Camera System for the Generation of Real-World Benchmark
Data Sets},
	journal = {Optical Engineering},
	volume = {51},
	year = {2012},
	pages = {021107-1},
	doi = {10.1117/1.OE.51.2.021107},
	author = {Stephan Meister and Bernd J{\"a}hne and Daniel Kondermann}
}
@article {renard_12_overcoming,
	title = {Overcoming species boundaries in peptide identification with BICEPS},
	journal = {Molecular and Cellular Proteomics},
	volume = {11},
	year = {2012},
	doi = {10.1074/mcp.M111.014167},
	author = {B. Y. Renard and Xu, B. and Kirchner, M. and Zickmann, F. and Winter, D. and Korten, S. and Brattig, N. and Tzur, A. and Fred A. Hamprecht and Steen, H.}
}
@conference {Vicente2011,
	title = {Object cosegmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {2217{\textendash}2224},
	abstract = {Cosegmentation is typically defined as the task of jointly segmenting something similar in a given set of images. Existing methods are too generic and so far have not demonstrated competitive results for any specific task. In this paper we overcome this limitation by adding two new aspects to cosegmentation: (1) the "something" has to be an object, and (2) the "similarity" measure is learned. In this way, we are able to achieve excellent results on the recently introduced iCoseg dataset, which contains small sets of images of either the same object instance or similar objects of the same class. The challenge of this dataset lies in the extreme changes in viewpoint, lighting, and object deformations within each set. We are able to considerably outperform several competitors. To achieve this performance, we borrow recent ideas from object recognition: the use of powerful features extracted from a pool of candidate object-like segmentations. We believe that our work will be beneficial to several application areas, such as image retrieval. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995530},
	author = {Vicente, Sara and Carsten Rother and Kolmogorov, Vladimir}
}
@conference {Bleyer2011,
	title = {Object stereo Joint stereo matching and object segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {3081{\textendash}3088},
	abstract = {This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially coherent objects. Each object is characterized by three different aspects: a color model, a 3D plane that approximates the object{\textquoteright}s disparity distribution, and a novel 3D connectivity property. Inspired by Markov Random Field models of image segmentation, we employ object-level color models as a soft constraint, which can aid depth estimation in powerful ways. In particular, our method is able to recover the depth of regions that are fully occluded in one input view, which to our knowledge is new for stereo matching. Our model is formulated as an energy function that is optimized via fusion moves. We show high-quality disparity and object segmentation results on challenging image pairs as well as standard benchmarks. We believe our work not only demonstrates a novel synergy between the areas of image segmentation and stereo matching, but may also inspire new work in the domain of automatic and interactive object-level scene manipulation. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995581},
	author = {Bleyer, Michael and Carsten Rother and Kohli, Pushmeet and Scharstein, Daniel and Sinha, Sudipta}
}
@article {kaster_11_object-oriented,
	title = {An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements},
	journal = {Computer Science - Research and Development},
	volume = {26},
	year = {2011},
	note = {1},
	pages = {65-85},
	doi = {10.1007/s00450-010-0143-z},
	author = {F. O. Kaster and Merkel, B. and Nix, O. and Fred A. Hamprecht}
}
@conference {menze_11_on,
	title = {On oblique random forests},
	booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings.},
	year = {2011},
	note = {1},
	pages = {453-469},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23783-6_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Splitthoff, N. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {erz2011a,
	title = {Optimale Kameraauswahl f{\"u}r maschinelles Sehen durch standardisierte Charakterisierung},
	journal = {tm --- Technisches Messen},
	volume = {78},
	year = {2011},
	pages = {377--383},
	doi = {10.1524/teme.2011.0151},
	author = {Michael Erz and Bernd J{\"a}hne}
}
@conference {lellmann_11_optimality,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning
Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	year = {2011},
	note = {1},
	pages = {132-146},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1234/12345678},
	author = {Lellmann, J. and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {Lellmann2011,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	volume = {6819},
	year = {2011},
	pages = {132--146},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr},
	editor = {Boykov, Y. and Kahl, F. and Schmidt, F. R. and Lempitsky, V. F.}
}
@techreport {Lellmann2011b,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	year = {2011},
	month = {Dec},
	institution = {IPA group, Heidelberg University},
	url = {http://arxiv.org/abs/1112.0974},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@conference {Lellmann2011,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	series = {LNCS},
	volume = {6819},
	year = {2011},
	pages = {132{\textendash}146},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr},
	editor = {Boykov, Y. and Kahl, F. and Lempitsky, V. F. and Schmidt, F. R.}
}
@conference {Rathke11,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI},
	volume = {6893},
	year = {2011},
	pages = {370--377},
	publisher = {Springer},
	organization = {Springer},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr},
	editor = {Fichtinger, Gabor and Martel, Anne L. and Peters, Terry M.}
}
@incollection {rathke2011b,
	title = {Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography},
	volume = {6893},
	year = {2011},
	pages = {370{\textendash}377},
	publisher = {Springer},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@conference {Rathke11,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI},
	series = {Lecture Notes in Computer Science},
	volume = {6893},
	year = {2011},
	pages = {370{\textendash}377},
	publisher = {Springer},
	organization = {Springer},
	author = {Fabian Rathke and Stefan Schmidt and Christoph Schn{\"o}rr},
	editor = {Fichtinger, Gabor and Martel, Anne L. and Peters, Terry M.}
}
@conference {rathke_11_order,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer
Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI 2011, Proceedings},
	volume = {6893},
	year = {2011},
	note = {1},
	pages = {370-377},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23626-6_46},
	author = {Rathke, F. and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {kaster_10_object-oriented,
	title = {An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2010 -- Algorithmen, Systeme, Anwendungen},
	year = {2010},
	note = {1},
	pages = {97-101},
	publisher = {Springer},
	organization = {Springer},
	author = {F. O. Kaster and Kassemeyer, S. and Merkel, B. and Nix, O. and Fred A. Hamprecht},
	editor = {T. M. Deserno and H. Handels and T. Tolxdorff and Hans-Peter Meinzer}
}
@conference {jehle_10_optimal,
	title = {Optimal Lighting for Defect Detection: Illumination Systems, Machine
Learning, and Practical Verification},
	booktitle = {Forum Bildverarbeitung, Regensburg, 02.-03.12.2010},
	year = {2010},
	note = {1},
	pages = {301-312},
	publisher = {KIT SCientific Publishing},
	organization = {KIT SCientific Publishing},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and Heinzmann, M.}
}
@conference {jehle2010a,
	title = {Optimal lighting for defect detection: illumination systems, machine learning, and practical verification},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {241--252},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@article {lellmann_10_optimality,
	title = {Optimality Bounds for Variational Relaxations of Optimal Partition
Problems},
	year = {2010},
	note = {1},
	author = {Lellmann, J. and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {erz2010,
	title = {Optimierte Kameraauswahl f{\"u}r maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {155--166},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@booklet {jaehne2009a,
	title = {Objektive Kriterien unterst{\"u}tzen die anwendungsorientierte Auswahl einer Kamera},
	year = {2009},
	note = {VDMA, Frankfurt},
	url = {http://www.vdma-verlag.com/home/p464.html},
	author = {Bernd J{\"a}hne}
}
@conference {mischler2009,
	title = {Optical method for measuring size-distribution and lifetime of bubbles},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {A high resolution imaging method for measuring the size distribution of bubbles entrained by water jets between 10-1000 um in diameter is presented. The bubble clouds are similar to those produced by breaking water waves. The goal of these measurements is the validation of models for bubble mediated gas transfer. A Depth from Focus technique is used to determine the 3D position and the size of the bubbles at the same time. This yields the size-distribution and its dependence on depth. Additionally the velocity of the bubbles is estimated using repeatedly exposed images. To evaluate the lifetime of bubbles a high-speed camera is used to count the bubbles crossing the surface. The measuring principle, image analysis and first results are presented.},
	author = {Wolfgang Mischler and Roland Rocholz and Bernd J{\"a}hne}
}
@mastersthesis {griessinger_08_object,
	title = {Oject Detection with Generic Features: An Application to STED Microscopy},
	year = {2008},
	school = {University of Heidelberg},
	author = {Griessinger, M.}
}
@article {garbe2008b,
	title = {An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion},
	journal = {Exp. Fluids},
	volume = {44},
	year = {2008},
	pages = {439--450},
	abstract = {A novel technique is presented for accurately measuring flow fields in microfluidic flows from molecular tagging velocimetry (MTV). Limited optical access is frequently encountered in microfluidic systems. Therefore, in this contribution we analyze the special case of tagging a line across the thin dimension of a microchannel and subsequent imaging along this line. This represents a set-up that is applicable to a wide range of microfluidic applications. A volume illumination has to be used, resulting in an integration of the visualized dye across the flow profile. This leads to the well-known effect of Taylor dispersion. Our novel technique consists of measuring motion from digital image sequences in a gradient-based approach. A motion model is developed which explicitly deals with brightness changes due to Taylor dispersion and additional molecular diffusion of dyes. The presented approach is specific to the case of a parabolic velocity profile. In the presence of these effects, an accurate computation of motion is only possible by applying this novel motion model. Our technique is tested on simulated sequences corrupted with varying levels of noise and on actual measurements. Measurements were conducted in a microfluidic mixer of precisely known flow properties. In the same mixer, a comparative study of our MTV technique to uPIV was performed. Also, the results were compared to bulk measurements of the fluid flow velocity. The novel algorithm compared favorably and also, measurements were conducted on inhomogeneous flow configurations.},
	doi = {10.1007/s00348-007-0435-7},
	author = {Christoph S. Garbe and Karsten Roetmann and Volker Beushausen and Bernd J{\"a}hne}
}
@phdthesis {klappstein2008,
	title = {Optical-Flow based Detection of Moving Objects in Traffic Scenes},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	abstract = {Traffic is increasing continuously. Nevertheless the number of traffic fatalities decreased in the past. One reason for this are the passive safety systems, such as side crash protection or airbag, which have been engineered the last decades and which are standard in today{\textquoteright}s cars. Active safety systems are increasingly developed. They are able to avoid or at least to mitigate accidents. For example, the adaptive cruise control (ACC) original designed as a comfort system is developed towards an emergency brake system. Active safety requires sensors perceiving the vehicle environment. ACC uses radar or laser scanner. However, cameras are also interesting sensors as they are capable of processing visual information such as traffic signs or lane markings. In traffic moving objects (cars, bicyclists, pedestrians) play an important role. To perceive them is essential for active safety systems. This thesis deals with the detection of moving objects utilizing a monocular camera. The detection is based on the motions within the video stream (optical flow). If the ego-motion and the location of the camera with respect to the road plane are known the viewed scene can be 3D reconstructed exploiting the measured optical flow. In this thesis an overview of existing algorithms estimating the ego-motion is given. Based on it a suitable algorithm is selected and extended by a motion model. The latter one considerably increases the accuracy as well as the robustness of the estimate. The location of the camera with respect to the road plane is estimated using the optical flow on the road. The road might be temporary low-textured making it hard to measure the optical flow. Consequently, the road homography estimate will be poor. A novel Kalman filtering approach combining the estimate of the ego-motion and the estimate of the road homography leads to far better results. The 3D reconstruction of the viewed scene is performed pointwise for each measured optical flow vector. A point is reconstructed through intersection of the viewing rays which are determined by the optical flow vector. This only yields a correct result for static, i.e. non-moving, points. Further, static points fulfill four constraints: epipolar constraint, trifocal constraint, positive depth constraint, and positive height constraint. If at least one constraint is violated the point is moving. For the first time an error metric is developed exploiting all four constraints. It measures the deviation from the constraints quantitatively in a unified manner. Based on this error metric the detection limits are investigated. It is shown that overtaking objects are detected very well whereas objects being overtaken are detected hardly. Oncoming objects on a straight road are not detected by means of the available constraints. Only if one assumes that these objects are opaque and touch the ground the detection becomes feasible. An appropriate heuristic is introduced. In conclusion, the developed algorithms are a system to detect moving points robustly. The problem of clustering the detected moving points to objects is outlined. It serves as a starting point for further research activities.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8591/},
	author = {Klappstein, Jens}
}
@mastersthesis {schmidt2008b,
	title = {Optische Methoden zur Form- und Positionserkennung von K{\"o}rpern in Werkzeugmaschinen},
	year = {2008},
	school = {Fried-rich-Schil-ler-Uni-ver-si-t{\"a}t Je-na},
	author = {Schmidt, Mirko}
}
@article {Ruhnau-Schnoerr-EiF07,
	title = {Optical Stokes Flow Estimation: An Imaging-Based Control Approach},
	journal = {Exp. in Fluids},
	volume = {42},
	year = {2007},
	pages = {61{\textendash}78},
	author = {Ruhnau, P. and Schn{\"o}rr, C.}
}
@article {Ruhnau-Schnoerr-EiF07,
	title = {Optical Stokes Flow Estimation: An Imaging-Based Control Approach},
	journal = {Exp.~in Fluids},
	volume = {42},
	year = {2007},
	pages = {61--78},
	author = {Paul Ruhnau and Christoph Schn{\"o}rr}
}
@conference {Rother2007a,
	title = {Optimizing binary MRFs via extended roof duality},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2007},
	abstract = {Many computer vision applications rely on the efficient optimization of challenging, so-called non-submodular, binary pairwise MRFs. A promising graph cut based approach for optimizing such MRFs known as "roof duality" was recently introduced into computer vision. We study two methods which extend this approach. First, we discuss an efficient implementation of the "probing" technique introduced recently by Boros et al. [5]. It simplifies the MRF while preserving the global optimum. Our code is 400-700 faster on some graphs than the implementation of [5]. Second, we present a new technique which takes an arbitrary input labeling and tries to improve its energy. We give theoretical characterizations of local minima of this procedure. We applied both techniques to many applications, including image segmentation, new view synthesis, superresolution, diagram recognition, parameter learning, texture restoration, and image deconvolution. For several applications we see that we are able to find the global minimum very efficiently, and considerably outperform the original roof duality approach. In comparison to existing techniques, such as graph cut, TRW, BP, ICM, and simulated annealing, we nearly always find a lower energy. {\textcopyright} 2007 IEEE.},
	isbn = {1424411807},
	issn = {10636919},
	doi = {10.1109/CVPR.2007.383203},
	author = {Carsten Rother and Kolmogorov, Vladimir and Lempitsky, Victor and Szummer, Martin}
}
@article {Rother2007,
	title = {Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46},
	journal = {Computing},
	year = {2007},
	abstract = {Many computer vision applications rely on the efficient optimization of challenging, so-called non-submodular, binary pairwise MRFs. A promising graph cut based approach for optimizing such MRFs known as "roof duality" was recently introduced into computer vision. We study two methods which extend this approach. First, we discuss an efficient implementation of the "probing" technique introduced recently by Boros et al. [8]. It simplifies the MRF while preserving the global optimum. Our code is 400-700 faster on some graphs than the implementation of [8]. Second , we present a new technique which takes an arbitrary input labeling and tries to improve its energy. We give theoretical characterizations of local minima of this procedure. We applied both techniques to many applications, including image segmentation, new view synthesis, super-resolution, diagram recognition, parameter learning, texture restoration, and image deconvolution. For several applications we see that we are able to find the global minimum very efficiently, and considerably outperform the original roof duality approach. In comparison to existing techniques , such as graph cut, TRW, BP, ICM, and simulated annealing, we nearly always find a lower energy.},
	url = {http://research.microsoft.com/vision/cambridge/},
	author = {Carsten Rother and Kolmogorov, Vladimir and Lempitsky, Victor and Szummer, Martin}
}
@conference {Ruhnau-et-al-06a,
	title = {On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	booktitle = {Proc. DAGM 2006},
	series = {LNCS},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Ruhnau, P. and Stahl, A. and Schn{\"o}rr, C.}
}
@conference {Ruhnau-et-al-06a,
	title = {On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	booktitle = {Proc.~DAGM 2006},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Paul Ruhnau and Stahl, A. and Christoph Schn{\"o}rr}
}
@conference {garbe2006b,
	title = {An optical flow based technique for the non-invasive measurement of microfluidic flows},
	booktitle = {12th Intern. Symp. on Flow Visualization, G{\"o}ttingen, 10--14. September 2006},
	year = {2006},
	doi = {10.5281/zenodo.14846},
	author = {Christoph S. Garbe and Karsten Roetmann and Bernd J{\"a}hne}
}
@article {menze_06_optimal,
	title = {Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor},
	journal = {NMR in Biomedicine},
	volume = {19},
	number = {5},
	year = {2006},
	note = {1},
	pages = {599-609},
	doi = {10.1002/nbm.1041},
	author = {Bjoern H. Menze and M. P. Lichy and Bachert, P. and B. Michael Kelm and Schlemmer, H. P. and Fred A. Hamprecht}
}
@conference {ommer:EMMCVPR:2005,
	title = {Object Categorization by Compositional Graphical Models},
	booktitle = {Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition},
	volume = {3757},
	year = {2005},
	pages = {235--250},
	publisher = {Springer},
	organization = {Springer},
	author = {Bj{\"o}rn Ommer and J. M. Buhmann}
}
@article {wenig2005,
	title = {Operator representation as a new differential optical absorption spectroscopy formalism},
	journal = {Appl. Optics},
	volume = {44},
	year = {2005},
	pages = {3246-3253},
	abstract = {UV-visible absorption spectroscopy with extraterrestrial light sources is a widely used technique for the measurement of stratospheric and tropospheric trace gases. We focus on differential optical absorption spectroscopy (DOAS) and present an operator notation as a new formalism to describe the different processes in the atmosphere and the simplifying assumptions that compose the advantage of DOAS. This formalism provides tools to classify and reduce possible error sources of DOAS applications.},
	doi = {10.1364/AO.44.003246},
	author = {Mark Wenig and Bernd J{\"a}hne and Ulrich Platt}
}
@article {kuensch_05_optimal,
	title = {Optimal lattices for sampling},
	journal = {IEEE Transactions on Information Theory},
	volume = {51},
	number = {0055},
	year = {2005},
	pages = {634-647},
	doi = {10.1109/TIT.2004.840864},
	author = {K{\"u}nsch, H. R. and Agrell, E. and Fred A. Hamprecht}
}
@conference {schimpf2003a,
	title = {Observational studies of parameters influencing air--sea gas exchange},
	booktitle = {Geophysical Research Abstracts},
	volume = {5},
	year = {2003},
	pages = {09328},
	author = {Uwe Schimpf and Nelson M. Frew and Kalkenings, R. and Christoph S. Garbe and Bernd J{\"a}hne}
}
@phdthesis {restle_03_optimierung,
	title = {Optimierung der Wei\DFlichtinterferometrie f{\"u}r Applikationen der industriellen Qualit{\"a}tskontrolle},
	year = {2003},
	publisher = {University of Heidelberg},
	author = {J. Restle}
}
@conference {bock2002,
	title = {Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {39--44},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0039},
	author = {E. J. Bock and J. B. Edson and Nelson M. Frew and T. Hara and Horst Hau{\ss}ecker and Bernd J{\"a}hne and W. R. McGilles and S. P. McKenna and R. K. Nelson and Uwe Schimpf and B. M. Uz},
	editor = {M. A. Donelan and W. M. Drennan and R. Wanninkhof and E. S. Saltzman}
}
@mastersthesis {kuesters2001,
	title = {Objektverfolgung und Bildfusion zur Untersuchung wachsender Pflanzenwurzeln},
	year = {2001},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {K{\"u}sters, R.}
}
@incollection {huang2001,
	title = {Ocean wave spectra and integral properties},
	year = {2001},
	pages = {82--123},
	publisher = {Cambridge University Press},
	doi = {10.1017/CBO9780511552076.005},
	author = {N. E. Huang and Y. Toba and Z. Shen and J. Klinke and Bernd J{\"a}hne and M. L. Banner},
	editor = {I. S. F. Jones and Y Toba}
}
@conference {barron2000,
	title = {Optical and range flow to measure 3D plant growth and motion},
	booktitle = {Image Vision Computing New Zealand},
	year = {2000},
	pages = {68--77},
	author = {John L. Barron and Liptay, A. and Hagen Spies}
}
@incollection {schmundt2000,
	title = {Optical leaf growth analysis},
	year = {2000},
	pages = {640-641},
	publisher = {Academic Press},
	chapter = {A16},
	author = {Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@techreport {scharr2000b,
	title = {Optimal separable interpolation of color images with bayer array format},
	year = {2000},
	institution = {DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/12680/},
	author = {Hanno Scharr}
}
@phdthesis {scharr2000,
	title = {Optimale Operatoren in der Digitalen Bildverarbeitung},
	year = {2000},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {A novel method for optimal choice of filter operators is presented. Single filters as well as filter families with linear or nonlinear optimal criteria can be addressed by different weighted norms in wave number domain. Coefficients of filters with arbitrary support can be optimized in floating point or fixed point accuracy. Numerous examples are presented to illustrate optimization of filters e.g by isotropy, rotation invariance or accuracy of absolute value, and each is followed by discussions of results. Errors are decreased by up to 3 orders of magnitude compared to standard parameter choices. In an investigation of displacements calculated by the well known structure tensor approach with optimal filters the results are improved in two respects. Firstly, estimation errors are decreased by approximately two orders of magnitude and secondly, they are more robust with respect to noise. The greatly improved performance is demonstrated by a tracking application. A novel explicit discretization for anisotropic diffusion filtering using optimal filters is introduced. Numerical errors of this scheme obtained by comparison with a novel analytical solution are about 1.5 to 2.5 orders of magnitude smaller than the errors introduced by the best comparable standard method. The new method clearly outperforms the latter in a reconstruction test. Due to the higher stability with respect to larger time steps, the new method is 3 to 4 times faster than other explicit schemes.},
	url = {http://www.ub.uni-heidelberg.de/archiv/962},
	author = {Hanno Scharr}
}
@conference {klinke1999,
	title = {Observations of free and bound gravity-capillary Waves},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	pages = {87--88},
	doi = {10.5281/zenodo.14908},
	author = {J. Klinke and Bernd J{\"a}hne and S. R. Long}
}
@mastersthesis {mann1998,
	title = {Objektbasierte Bildfolgenanalyse zur Bewegungsbestimmung im in vitro Motility Assay unter Verwendung eines Strukturtensorverfahrens},
	year = {1998},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Sven Mann}
}
@phdthesis {klinke1996,
	title = {Optical Measurements of Small-Scale Wind Generated Water Surface Waves in the Laboratory and the Field},
	year = {1996},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {J. Klinke}
}
@mastersthesis {lell1996,
	title = {Ortsaufgel{\"o}ste Bestimmung von Blattwachstum durch Strukturanalyse von Bildsequenzen aus dem nahen Infrarot},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Martin Lell}
}
@conference {scheuermann1995,
	title = {Oberfl{\"a}chenkonturvermessung mikroskopischer Objekte durch Projektion statistischer Rauschmuster},
	booktitle = {Proc. 17. DAGM-Symposium Mustererkennung, Bielefeld, 13.-15. September 1995},
	year = {1995},
	pages = {319--326},
	author = {Scheuermann, T. and Pfundt, G. and Eyerer, P. and Bernd J{\"a}hne}
}
@conference {geissler1995a,
	title = {One-image depth-from-focus for concentration measurements},
	booktitle = {Proc. ISPRS Intercommission Workshop {\textquoteleft}From Pixels to Sequences{\textquoteright}, Zurich, March 22 - 24, 1995, In Int{\textquoteright}l Arch. of Photog. and Rem. Sens.},
	volume = {XXX-5W1},
	year = {1995},
	pages = {122--127},
	publisher = {RISC Books},
	organization = {RISC Books},
	doi = {10.5281/zenodo.14891},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne},
	editor = {Baltsavias, E. P.}
}
@conference {jaehne1989d,
	title = {Optical measuring technique for small scale water surface waves},
	booktitle = {Advanced Optical Instrumentation for Remote Sensing of the Earth{\textquoteright}s Surface from Space, SPIE Proceeding 1129, International Congress on Optical Science and Engineering, Paris, 24-28 April 1989},
	year = {1989},
	pages = {147--152},
	doi = {10.1117/12.961496},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {Stefan Waas and Stefan Waas}
}
@conference {jaehne1983a,
	title = {Optical water waves measuring techniques},
	booktitle = {Talk, 1st International Symposium on Gas Transfer at Water Surfaces, Cornell University, Ithaca, New York, June 13--15, 1983},
	year = {1983},
	doi = {10.5281/zenodo.14008},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {tschiersch1980,
	title = {Optische Messung von Kapillarwellen im Hinblick auf den Gasaustausch},
	year = {1980},
	note = {IUP D-151},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.13359},
	author = {Tschiersch, Jochen}
}
