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M. Jehle and Jähne, B., “Optimal lighting for defect detection: illumination systems, machine learning, and practical verification”, in Forum Bildverarbeitung, 2010, p. 241--252.

H. R. Künsch, Agrell, E., and Hamprecht, F. A., “Optimal lattices for sampling”, IEEE Transactions on Information Theory, vol. 51, pp. 634-647, 2005.

F. Jug, Pietzsch, T., Kainmüller, D., Funke, J., Kaiser, M., van Nimwegen, E., Rother, C., and Myers, G., “Optimal joint segmentation and tracking of escherichia coli in the mother machine”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8677, pp. 25–36, 2014.

M. Atif and Jähne, B., “Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations”, in Forum Bildverarbeitung, 2012, p. 23--34.

M. Atif and Jähne, B., “Optimal Depth Estimation from a Single Image by Computational Imaging Using Chromatic Aberrations”, tm --- Technisches Messen, vol. 80, p. 343--348, 2013.

M. Atif, “Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2013.

M. Atif, “Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations”, vol. Dissertation. IWR, Univ. Heidelberg, 2013.

B. H. Menze, Lichy, M. P., Bachert, P., Kelm, B. Michael, Schlemmer, H. P., and Hamprecht, F. A., “Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor”, NMR in Biomedicine, vol. 19, pp. 599-609, 2006.

Technical Report (289.77 KB)

B. Jähne, “Optik, Photonik und Bildverarbeitung --- eine spannende Reise”, Optik & Photonik, vol. 7, p. 2--3, 2012.

J. Klappstein, “Optical-Flow based Detection of Moving Objects in Traffic Scenes”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2008.

B. Jähne, “Optical water waves measuring techniques”, in Talk, 1st International Symposium on Gas Transfer at Water Surfaces, Cornell University, Ithaca, New York, June 13--15, 1983, 1983.

P. Ruhnau and Schnörr, C., “Optical Stokes Flow Estimation: An Imaging-Based Control Approach”, Exp. in Fluids, vol. 42, pp. 61–78, 2007.

P. Ruhnau and Schnörr, C., “Optical Stokes Flow Estimation: An Imaging-Based Control Approach”, Exp.~in Fluids, vol. 42, p. 61--78, 2007.

Technical Report (1.54 MB)

F. Friedl, Krah, N., and Jähne, B., “Optical sensing of oxygen using a modified Stern-Volmer equation for high laser irradiance”, Sensors and Actuators B: Chemical, vol. 206, p. 336--342, 2015.

F. Friedl, Krah, N., and Jähne, B., “Optical sensing of oxygen using a modified Stern-Volmer equation for high laser irradiance”, Sensors and Actuators B: Chemical, vol. 206, pp. 336–342, 2015.

W. Mischler, Rocholz, R., and Jähne, B., “Optical method for measuring size-distribution and lifetime of bubbles”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.

B. Jähne and Jähne, B., “Optical measuring technique for small scale water surface waves”, in Advanced Optical Instrumentation for Remote Sensing of the Earth's Surface from Space, SPIE Proceeding 1129, International Congress on Optical Science and Engineering, Paris, 24-28 April 1989, 1989, p. 147--152.

J. Klinke, “Optical Measurements of Small-Scale Wind Generated Water Surface Waves in the Laboratory and the Field”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

W. Mischler and Jähne, B., “Optical measurements of bubbles and spray in wind/water facilities at high wind speeds”, in 12th International Triennial Conference on Liquid Atomization and Spray Systems 2012, Heidelberg (ICLASS 2012), 2012.

D. Kiefhaber, Rocholz, R., Bauer, P. Salomon, and Jähne, B., “Optical measurement of surface ocean waves”, in 3rd EOS Topical Meeting on Blue Photonics --- Optics in the Sea, 2013.

D. Kiefhaber, “Optical Measurement of Short Wind Waves --- from the Laboratory to the Field”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.

D. Schmund, Schurr, U., and Jähne, B., “Optical leaf growth analysis”, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 640-641, 2000.

C. S. Garbe, Roetmann, K., Beushausen, V., and Jähne, B., “An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion”, Exp. Fluids, vol. 44, p. 439--450, 2008.

C. S. Garbe, Roetmann, K., and Jähne, B., “An optical flow based technique for the non-invasive measurement of microfluidic flows”, in 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006, 2006.

F. Becker, Petra, S., and Schnörr, C., “Optical Flow”, Handbook of Mathematical Methods in Imaging. Springer, 2014.

J. L. Barron, Liptay, A., and Spies, H., “Optical and range flow to measure 3D plant growth and motion”, in Image Vision Computing New Zealand, 2000, p. 68--77.

M. Wenig, Jähne, B., and Platt, U., “Operator representation as a new differential optical absorption spectroscopy formalism”, Appl. Optics, vol. 44, pp. 3246-3253, 2005.

B. Andres, Beier, T., and Kappes, J. H., “OpenGM: A C++ Library for Discrete Graphical Models”, ArXiv e-prints, 2012.

P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc.~DAGM 2006, 2006, vol. 375-388, pp. 375-388.

Technical Report (902.47 KB)

P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.

P. Geißler and Jähne, B., “One-image depth-from-focus for concentration measurements”, in Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens., 1995, vol. XXX-5W1, p. 122--127.

E. - A. Horvát, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., “One plus one makes three (for social networks)”, PLoS ONE, vol. 4,7, 2012.

M. Griessinger, “Oject Detection with Generic Features: An Application to STED Microscopy”, University of Heidelberg, 2008.

M. Takami, Bell, P., and Ommer, B., “Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM”, in Winter Conference on Applications of Computer Vision, 2014, p. 377--384.

N. E. Huang, Toba, Y., Shen, Z., Klinke, J., Jähne, B., and Banner, M. L., “Ocean wave spectra and integral properties”, Wind Stress over the Ocean. Cambridge University Press, p. 82--123, 2001.

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