S.  Damrich, ?Discovering Structure without Labels?, Heidelberg University. 2022.

A.  Ruiz, ?Deep k-segments: a generalization of k-means?, Heidelberg University, 2021.

A.  Bailoni, ?Deep Learning for Graph-Based Image Instance Segmentation?. Heidelberg University, 2021.

A.  Vijayan, Tofanelli, R., Strauss, S., Cerrone, L., Wolny, A., Strohmeier, J., Kreshuk, A., Hamprecht, F. A., Smith, R. S., and Schneitz, K., ?A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule?, eLife, 2021.

E.  Fita, Damrich, S., and Hamprecht, F. A., ?Directed Probabilistic Watershed?, NeurIPS. Proceedings, vol. 34. 2021.

S.  Lang and Ommer, B., ?Das Objekt jenseits der Digitalisierung?, Das digitale Objekt, vol. 7. 2020.

T.  Dencker, Klinkisch, P., Maul, S. M., and Ommer, B., ?Deep learning of cuneiform sign detection with weak supervision using transliteration alignment?, PLoS ONE, vol. 15, no. 12, 2020.

S.  Bollweg, Haußmann, M., Kasieczka, G., Luchmann, M., Plehn, T., and Thompson, J., ?Deep-Learning Jets with Uncertainties and More?, SciPost Phys, vol. 8, no. 1, 2020.

E.  Kirschbaum, Bailoni, A., and Hamprecht, F. A., ?DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging?, MICCAI. Proceedings. pp. 151-162, 2020.

P.  Sorrenson, Rother, C., and Köthe, U., ?Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)?, in Intl. Conf. Learning Representations (ICLR), 2020.

P.  Esser, Rombach, R., and Ommer, B., ?A Disentangling Invertible Interpretation Network for Explaining Latent Representations?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.

T.  Milbich, Roth, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. Paul, ?DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning?, IEEE European Conference on Computer Vision (ECCV). 2020.

G. -hung Lu, Tsai, W. -ting, and Jähne, B., ?Decomposing infrared images of wind waves for quantitative separation into characteristic flow processes?, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 8304?8316, 2019.

M.  Haußmann, Hamprecht, F. A., and Kandemir, M., ?Deep Active Learning with Adaptive Acquisition?, IJCAI. Proceedings. pp. 2470-2476, 2019.

W.  Li, Hosseini Jafari, O., and Rother, C., ?Deep Object Co-segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 638?653.

M.  Papst, ?Development of a method for quantitative imaging of air-water gas exchange?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2019.

B.  Savchynskyy, ?Discrete Graphical Models ? An Optimization Perspective?, Foundations and Trends® in Computer Graphics and Vision, vol. 11, pp. 160?429, 2019.

A.  Sanakoyeu, Tschernezki, V., Büchler, U., and Ommer, B., ?Divide and Conquer the Embedding Space for Metric Learning?,  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.

L.  Cerrone, ?Deep End-to-End Learning of a Diffusion Process for Seeded Image Segmentation?, Heidelberg University, 2018.

A.  Sanakoyeu, Bautista, M., and Ommer, B., ?Deep Unsupervised Learning of Visual Similarities?, Pattern Recognition, vol. 78, 2018.

C.  Weilbach, ?Dictionary Learning with Bayesian GANs for Few-Shot Classification?, Heidelberg University, 2018.

N.  Ufer and Ommer, B., ?Deep Semantic Feature Matching?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

M.  Bautista, Sanakoyeu, A., and Ommer, B., ?Deep Unsupervised Similarity Learning using Partially Ordered Sets?, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

H.  Schilling, Diebold, M., Gutsche, M., and Jähne, B., ?On the design of a fractal calibration pattern for improved camera calibration?, tm - Technisches Messen, vol. 84, pp. 440?451, 2017.

S.  Ramos, Gehrig, S., Pinggera, P., Franke, U., and Rother, C., ?Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling?, in IEEE Intelligent Vehicles Symposium, Proceedings, 2017, pp. 1025?1032.

C.  Haubold, Uhlmann, V., Unser, M., and Hamprecht, F. A., ?Diverse M-best Solutions by Dynamic Programming?, GCPR. Proceedings, vol. LNCS 10496. Springer, pp. 255-267, 2017.

V.  Uhlmann, Haubold, C., Hamprecht, F. A., and Unser, M., ?Diverse Shortest Paths for Bioimage Analysis?, Bioinformatics, pp. 1-3, 2017.

E.  Brachmann, Krull, A., Nowozin, S., Shotton, J., Michel, F., Gumhold, S., and Rother, C., ?DSAC - Differentiable RANSAC for camera localization?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2492?2500.

K.  Honauer, Johannsen, O., Kondermann, D., and Goldlücke, B., ?A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields?, in Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III, Cham, 2016.

P.  Schmidt, ?Deep Learning for Bioimage Analysis?, University of Heidelberg, 2016.

L.  Balles, ?Deep Learning for Diabetic Retinopathy Diagnostics?, University of Heidelberg, 2016.

J.  Kleesiek, Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., and Biller, A., ?Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.?, NeuroImage, vol. 129, pp. 460-469, 2016.

P.  Bell and Ommer, B., ?Digital Connoisseur? How Computer Vision Supports Art History?, in Connoisseurship nel XXI secolo. Approcci, Limiti, Prospettive, A. Aggujaro & S. Albl (ed.), Rome: Artemide, 2016.

M.  Zisler, Petra, S., Schnörr, C., and Schnörr, C., ?Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints?, in Proc. GCPR, 2016.

F.  Aström and Schnörr, C., ?Double-Opponent Vectorial Total Variation?, in Proc. ECCV, 2016.

P.  Swoboda, Kuske, J., and Savchynskyy, B., ?A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems?, arXiv, preprint, 2016.

M.  Kandemir and Hamprecht, F. A., ?The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors?, NIPS. Proceedings, vol. 44. pp. 145-159, 2015.

S.  Zheng, Cheng, M. Ming, Warrell, J., Sturgess, P., Vineet, V., Rother, C., and Torr, P. H. S., ?Dense semantic image segmentation with objects and attributes?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3214?3221.

C.  Decker and Hamprecht, F. A., ?Detecting individual body parts improves mouse behavior classification?, in Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings, 2014.

E.  Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., ?Detection of social actions in fruit flies?, Lecture Notes in Computer Science, vol. 8690, pp. 772?787, 2014.

M.  Kandemir, Feuchtinger, A., Walch, A., and Hamprecht, F. A., ?Digital Pathology: Multiple instance learning can detect Barrett'scancer?, ISBI. Proceedings. pp. 1348-1351, 2014.

S.  Wanner, Meister, S., and Goldlücke, B., ?Datasets and Benchmarks for Densely Sampled 4D Light Fields?, in Vision, Modeling & Visualization, 2013, p. 225--226.

F.  Lenzen, Kim, K. I., Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., ?Denoising Strategies for Time-of-Flight Data?, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200, pp. 24-25.

F.  Lenzen, Kim, K. In, Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., ?Denoising Strategies for Time-of-Flight Data?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 25-45, 2013.

H.  Schäfer, Lenzen, F., and Garbe, C. S., ?Depth and Intensity Based Edge Detection in Time-of-Flight Images?, in 3D Imaging, Modeling, Processing, Visualization and Transmission(3DIMPVT), 2013 International Conference on, 2013, pp. 111-118.

H.  Schäfer, Lenzen, F., and Garbe, C. S., ?Depth and Intensity Based Edge Detection in Time-of-Flight Images?, in 3DV-Conference, 2013 International Conference on, 2013, pp. 111-118.

M.  Horná?ek, Rhemann, C., Gelautz, M., and Rother, C., ?Depth super resolution by rigid body self-similarity in 3D?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2013, pp. 1123?1130.

B.  Jähne, ?Der Standard EMVA 1288 zur Charakterisierung von Kameras und Bildsensoren: von 2D- zu 3D-Kameras?, in Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013, 2013, p. 388--399.

P. Salomon Bauer, ?Development of an imaging polarimeter for water wave slope measurements?, Institut für Umwelphysik, Univeristät Heidelberg, Germany, 2013.

J.  Lellmann, Lellmann, B., Widmann, F., and Schnörr, C., ?Discrete and Continuous Models for Partitioning Problems?, Int.~J.~Comp.~Visionz, vol. 104, pp. 241-269, 2013.

U.  Schmidt, Rother, C., Nowozin, S., Jancsary, J., and Roth, S., ?Discriminative Non-blind Deblurring?, 2013.

B.  Jähne, Digitale Bildverarbeitung und Bildgewinnung. Springer Vieweg, 2012.

B. X.  Kausler, Schiegg, M., Andres, B., Lindner, M., Köthe, U., Leitte, H., Wittbrodt, J., Hufnagel, L., and Hamprecht, F. A., ?A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness?, in ECCV 2012. Proceedings, 2012, vol. 7574, pp. 144-157.

S.  Nowozin, Rother, C., Bagon, S., Sharp, T., Yao, B., and Kohli, P., ?Decision tree fields?, in Proceedings of the IEEE International Conference on Computer Vision, 2011, pp. 1668?1675.

X.  Lou, Kaster, F. O., Lindner, M., Kausler, B. X., Köthe, U., Höckendorf, B., Wittbrodt, J., Jänicke, H., and Hamprecht, F. A., ?DELTR: Digital Embryo Lineage Tree Reconstructor?, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings, 2011, pp. 1557-1560.

F.  Lenzen, Schäfer, H., and Garbe, C. S., ?Denoising Time-Of-Flight Data with Adaptive Total Variation?, in Proceedings ISVC, 2011, pp. 337-346.

B.  Jähne, ?Der Ozean im Labor, Bildverarbeitung in den Umweltwissenschaften?. 2011.

B.  Jähne, ?Der Standard 1288 der European Machine Vision Association (EMVA 1288): Was macht die Qualität aus??. 2011.

B.  Jähne, ?Der Standard EMVA 1288: Objektive Charakterisierung von Bildsensoren und digitalen Kameras?. 2011.

J.  Schlecht, Carque, B., and Ommer, B., ?Detecting Gestures in Medieval Images?, in Proceedings of the International Conference on Image Processing, 2011, p. 1309--1312.

X.  Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., ?Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments?, Bioinformatics, vol. 26(12), pp. 1535-1541, 2010.

D.  Kiefhaber, ?Development of a Reflective Stereo Slope Gauge for the Measurement of Ocean Surface Wave Slope Statistics?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2010.

M.  Frank, Plaue, M., and Hamprecht, F. A., ?Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures?, Optical Engineering, vol. 48, 077003, 2009.

F.  Becker and Schnörr, C., ?Decomposition of Quadratric Variational Problems?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.

F.  Becker and Schnörr, C., ?Decomposition of Quadratric Variational Problems?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.

J. A. J.  Steen, Steen, H., Georgi, A., Parker, K. C., Springer, M., Kirchner, M., Hamprecht, F. A., and Kirschner, M. W., ?Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis?, Proceedings of the National Academy of Sciences, vol. 105, pp. 6069-6074, 2008.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, Exp. Fluids, vol. 45, p. 583--593, 2008.

B.  Jähne, ?Data acquisition by imaging detectors?, Handbook of Experimental Fluid Mechanics. Springer, p. 1419--1436, 2007.

B.  Jähne, Klar, M., and Jehle, M., ?Data analysis?, Handbook of Experimental Fluid Mechanics. Springer, p. 1437--1491, 2007.

J.  Yuan, Schnörr, C., and Mémin, E., ?Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation?, J.~Math.~Imag.~Vision, vol. 28, pp. 67-80, 2007.

A.  Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., ?Do life-logging technologies support memory for the past? An experimental study using sensecam?, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81?90.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, in 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept., 2007.

S.  Hader, ?Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung?. University of Heidelberg, 2006.

B. H.  Menze, Ur, J. A., and Sherratt, A. G., ?Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model?, Photgrammetric Engineering & Remote Sensing, vol. 3, pp. 321-327, 2006.

M.  Jehle, Jähne, B., and Kertzscher, U., ?Direct estimation of the wall shear rate using parametric motion models in 3D?, in Proceedings of the 28th DAGM Symposium on Pattern Recognition, 2006, vol. 4174, p. 434--443.

K.  Lerch, ?Discontinuity Preserving Filtering of Spectral Images?, University of Heidelberg, 2006.

A.  Stahl, Ruhnau, P., and Schnörr, C., ?A Distributed Parameter Approach to Dynamic Image Motion?, in ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision, 2006.

S.  Kraus, ?DOASIS a framework design for DOAS?. Technische Informatik, Univ.\ Mannheim, 2006.

S.  Kraus, ?DOASIS a framework design for DOAS?. Technische Informatik, Univ. Mannheim, 2006.

M.  Klar, ?Design of an endoscopic 3D Particle-Tracking Velocimetry system and its application in flow measurements within a gravel layer?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2005.

L.  Görlitz, Hamprecht, F. A., and Staudacher, M., ?Detektion von Partikeln in Intensitätsbildern mit Hilfe eines morphologischen Skalenraumes?. Robert-Bosch GmbH, University of Heidelberg, 2005.

T. S.  Schwarz, ?Development of a depth resolving boundary layer visualiziation für gas exchange at free water surfaces?, University of Heidelberg, 2005.

B.  Jähne, Digital Image Processing, 6th ed. Springer, 2005.

C.  Rother, Kumar, S., Kolmogorov, V., and Blake, A., ?Digital tapestry [automatic image synthesis]?, in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, vol. 1, pp. 589?596.

B.  Jähne, Digitale Bildverarbeitung, 6th ed. Springer, 2005.

A.  Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., ?Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time?, in Scale-Space 2005, 2005, vol. 3459, pp. 279?290.

J.  Yuan, Ruhnau, P., Mémin, E., and Schnörr, C., ?Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation?, in Scale-Space 2005, 2005, vol. 3459, pp. 267?278.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Discr. Appl. Math., vol. 151, pp. 229-243, 2005.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain decomposition for variational optical flow computation?, IEEE Trans. Image Proc., vol. 14, pp. 1125-1137, 2005.

V.  Hilsenstein, ?Design and Implementation of a Passive Stereo-Infrared Imaging System for the Surface Reconstruction of Water Waves?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.

C. M.  Senet, ?Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences?. Universität Hamburg, FB Informatik, 2004.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 15, 2003.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Parallel Variational Optical Flow Computation?, in Pattern Recognition, Proc. 25th DAGM Symposium, 2003, vol. 2781, pp. 196?203.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Variational Optical Flow Computation?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 07/2003, 2003.

H.  Spies and Garbe, C. S., ?Dense parameter fields from total least squares?, in Proceedings of the 24th DAGM Symposium on Pattern Recognition, 2002, vol. LNCS 2449, p. 379--386.

A.  Bruhn, Jakob, T., Fischer, M., Kohlberger, T., Weickert, J., Brüning, U., and Schnörr, C., ?Designing 3?D Nonlinear Diffusion Filters for High Performance Cluster Computing?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 290?297.

D.  Cremers, Tischhäuser, F., Weickert, J., and Schnörr, C., ?Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford?Shah functional?, Int. J. Computer Vision, vol. 50, pp. 295?313, 2002.

B.  Jähne, Digital Image Processing, 5thth ed. Springer, 2002.

B.  Jähne, Digitale Bildverarbeitung, Fünfte. Springer Verlag, 2002.

D.  Cremers, Schnörr, C., and Weickert, J., ?Diffusion?Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework?, in IEEE First Workshop on Variational and Level Set Methods in Computer Vision, Vancouver, Canada, 2001, pp. 237?244.

H.  Spies, Jähne, B., and Barron, J. L., ?Dense range flow from depth and intensity data?, in ICPR, 2000, p. 131--134.

H.  Spies, Kirchgeßner, N., Scharr, H., and Jähne, B., ?Dense structure estimation via regularised optical flow?, in VMV 2000, 2000, p. 57--64.

D.  Cremers, Schnörr, C., Weickert, J., and Schellewald, C., ?Diffusion Snakes Using Statistical Shape Knowledge?, in Proc. Algebraic Frames for the Perception-Action Cycle, Kiel, 2000, vol. 1888, pp. 164?174.

P.  Geißler, Scholz, T., Jähne, B., Haußecker, H., and Geißler, P., ?Depth-from-focus for the measurement of size distributions of small particles?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 623-646, 1999.

D.  Schmund, ?Development of an Optical Flow Based System for the Precise Measurement of Plant Growth?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1999.

H.  Spies, Haußecker, H., Jähne, B., and Barron, J. L., ?Differential range flow estimation?, in Proceedings of the 21th DAGM Symposium on Pattern Recognition, 1999, p. 309--316.

F.  Rennekamp, ?Datenbank gestützte Verwaltung kalibrierter Bildsequenzen zur Qualitätsbewertung von Algorithmen?, Fakultät für Physik und Astronomie Universität Heidelberg, 1998.

P.  Geißler, ?Depth-from-Focus zur Messung der Größenverteilung durch Wellenbrechen erzeugter Blasenpopulationen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

F. A.  Hamprecht, Cohen, A. J., Tozer, D. J., and Handy, N. C., ?Development and assessment of new exchange-correlation functionals?, Journal of Chemical Physics, vol. 109, pp. 6264-6271, 1998.

K.  Wiehler, Grigat, R. ?R., Heers, J., Schnörr, C., and Stiehl, H. S., ?Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi?Dimensional Signals?, in Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications, London, 1998.

P.  Fornland and Schnörr, C., ?Determining the Dominant Plane from Uncalibrated Stereo Vision by a Robust and Convergent Iterative Approach without Correspondence?, in Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR'97), San Juan, Puerto Rico, 1997.

B.  Jähne, Digital Image Processing - Concepts, Algorithms, and Scientific Applications, 4th ed. Springer, 1997.

B.  Jähne, Digitale Bildverarbeitung, 4th ed. Springer, 1997.

H. - J.  Köhler, Haußecker, H., and Jähne, B., ?Detection of particle movements at soil interfaces due to changing hydraulic load conditions, localised by a digital image processing technique?, in Proc. Geofilters 1996, Montreal, 1996.

H.  Scharr, ?Digitale Bildverarbeitung und Papier Texturanalyse mittels Pyramiden und Grauwertstatistiken am Beispiel der Papierformation?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

P.  van Vliet, Hering, F., Jähne, B., and Jähne, B., ?Delft Hydraulics Large Wind-Wave Flume?, in Air-Water Gas Transfer---Selected Papers from the Third International Symposium of Air--Water Gas Transfer in Heidelberg, 1995, p. 499--502.

P.  Geißler, Scholz, T., Jähne, B., Schmidt, C., Suhr, H., and Wehnert, G., ?Depth-from-Focus Verfahren zur absoluten Größen- und Konzentrationsbestimmung kleiner Teilchen?, in Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden, 1995, p. 365--380.

E. J.  Bock, Edson, J. B., Frew, N. M., Karachintsev, A., McGilles, W. R., Nelson, R. K., Hansen, K., Jähne, B., Hara, T., Uz, B. M., Jähne, B., Dieter, J., Klinke, J., and Haußecker, H., ?Description of the science plan for the April 1995 CoOP experiment, `gas transfer in coastal waters', performed from the research vessel New Horizon?, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 801--810.

B.  Jähne, Digital Image Processing --- Concepts, Algorithms, and Scientific Applications, 3rd ed. Springer, 1995.

T.  Netzsch, ?Dreidimensionale Particle Tracking Velocimetry?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1995.

T.  Münsterer, Mayer, H. Jürgen, Jähne, B., and Jähne, B., ?Dual-tracer measurements of concentration profiles in the aqueous mass boundary layer?, in Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air--Water Gas Transfer, 1995, p. 637--648.

B.  Jähne and Geißler, P., ?Depth from focus with one image?, in Proc. Conference on Computer Vision and Pattern Recognition (CVPR '94), Seattle, 20.-23. June 1994, 1994, p. 713--717.

R.  Sprengel, Schnörr, C., and Neumann, B., ?Detection of Visual Data Transitions in Nonlinear Parameter Space?, in Mustererkennung 1994, 1994, vol. 5, pp. 315?323.

P.  Geißler, ?Depth-from-focus Bildanalyseverfahren zur Messung der Konzentration und Größe von Blasen und Mikroorganismen?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

P.  Geißler, Jähne, B., and Pöppl, S. J., ?Depth-from-focus zur Bestimmung der Konzentration und Größe von Gasblasen?, in Proc. 15. DAGM-Symposium Mustererkennung, 1993, p. 560--567.

B.  Jähne, Digital Image Processing --- Concepts, Algorithms, and Scientific Applications, 2nd ed. Springer, 1993.

B.  Jähne, Digitale Bildverarbeitung, 3rd ed. Springer, 1993.

T.  Netzsch and Jähne, B., ?Dreidimensionale Messung turbulenter Strömung mit Bildverarbeitung?, in Proc. 14. DAGM-Symposium zur Mustererkennung, 1992, p. 150--153.

C.  Schnörr, ?Determining Optical Flow for Irregular Domains by Minimizing Quadratic Functionals of a Certain Class?, ijcv, vol. 6, pp. 25?38, 1991.

B.  Jähne, Digital Image Processing - Concepts, Algorithms, and Scientific Applications. Springer, 1991.

B.  Jähne, Digitale Bildverarbeitung, 2nd ed. Springer, 1991.

D.  van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., Vogelzang, J., and Jähne, B., ?Dual-polarized scatterometer measurements of wind and mechanically generated waves in a very large wind/wave flume, the VIERS-1 project?, in Proc.\ 5th Int. Coll. Physical Measurements and Signatures in Remote Sensing, Courchevel, France, 1991, vol. ESA SP-319, p. 247--252.

P.  Snoeij, Calkoen, C. J., Oost, W. A., van Halsema, D., Vogelzang, J., and Jähne, B., ?Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank?, in Proc. IGARSS'90, 1990, p. 2157--2160.

B.  Jähne, Digitale Bildverarbeitung. Springer, 1989.

P.  Libner, ?Die Konstantflußmethode: Ein neuartiges, schnelles und lokales Meßverfahren zur Untersuchung von Austauschvorgängen an der Luft-Wasser Phasengrenze?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1987.