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Publications

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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.
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.
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.
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.
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.
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.
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.PDF icon Technical Report (1.61 MB)
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.PDF icon Technical Report (1.48 MB)
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.
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.PDF icon Technical Report (643.89 KB)
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.
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.
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.
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.
C. Schnörr, Determining Optical Flow for Irregular Domains by Minimizing Quadratic Functionals of a Certain Class, ijcv, vol. 6, pp. 25–38, 1991.
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.
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.PDF icon Technical Report (518.01 KB)
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.
T. S. Schwarz, Development of a depth resolving boundary layer visualiziation für gas exchange at free water surfaces, University of Heidelberg, 2005.
M. Papst, Development of a method for quantitative imaging of air-water gas exchange, Institut für Umweltphysik, Universität Heidelberg, Germany, 2019.
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.
P. Salomon Bauer, Development of an imaging polarimeter for water wave slope measurements, Institut für Umwelphysik, Univeristät Heidelberg, Germany, 2013.
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.
C. Weilbach, Dictionary Learning with Bayesian GANs for Few-Shot Classification, Heidelberg University, 2018.
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.
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.PDF icon Technical Report (173.02 KB)
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.
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.
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.
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.
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.
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.
B. Jähne, Digital Image Processing, 6th ed. Springer, 2005.
B. Jähne, Digital Image Processing, 5thth ed. Springer, 2002.
B. Jähne, Digital Image Processing - Concepts, Algorithms, and Scientific Applications, 4th ed. Springer, 1997.

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