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A

Adler, T J, Ayala, L, Ardizzone, L, Kenngott, H G, Vemuri, A, Müller-Stich, B P, Rother, C, Köthe, U and Maier-Hein, L (2019). Out of Distribution Detection for Intra-operative Functional Imaging. MICCAI UNSURE Workshop 2019. 11840 LNCS 75–82

PDF (3.1 MB)

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

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

Atif, M (2013). 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. http://www.ub.uni-heidelberg.de/archiv/15594

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

Atif, M and Jähne, B (2012). Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations. Forum Bildverarbeitung. KIT Scientific Publishing. 23--34. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440

B

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

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

Bleyer, M, Rother, C, Kohli, P, Scharstein, D and Sinha, S (2011). Object stereo Joint stereo matching and object segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3081–3088

Bock, E J, Edson, J B, Frew, N M, Hara, T, Haußecker, H, Jähne, B, McGilles, W R, McKenna, S P, Nelson, R K, Schimpf, U and Uz, B M (2002). Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer. Gas Transfer at Water Surfaces. American Geophysical Union. 127 39--44

E

Erz, M and Jähne, B (2010). Optimierte Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme. Forum Bildverarbeitung. KIT Scientific Publishing. 155--166. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266

Erz, M and Jähne, B (2011). Optimale Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung. tm --- Technisches Messen. 78 377--383

Erz, M and Jähne, B (2012). Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288. Forum Bildverarbeitung. KIT Scientific Publishing. 35--46. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440

F

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

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

G

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

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

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

Griessinger, M (2008). Oject Detection With Generic Features: An Application To Sted Microscopy. University of Heidelberg

H

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

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

J

Jähne, (2015). The ocean in the lab: measurements with light and shadow. Ruperto Carola Forschungsmagazin Heidelberg University. 7 52–59

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

Jähne, (2009). Objektive Kriterien unterstützen die anwendungsorientierte Auswahl einer Kamera. http://www.vdma-verlag.com/home/p464.html

Jähne, (2012). Optik, Photonik und Bildverarbeitung --- eine spannende Reise. Optik & Photonik. 7 2--3

Jähne, B and Jähne, B (1989). Optical measuring technique for small scale water surface waves. 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. 147--152

Jehle, M and Jähne, B (2010). Optimal lighting for defect detection: illumination systems, machine learning, and practical verification. Forum Bildverarbeitung. KIT Scientific Publishing. 241--252. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266

Jehle, M and Jähne, B (2010). Optimal Lighting for Defect Detection: Illumination Systems, Machine Learning, and Practical Verification. Forum Bildverarbeitung, Regensburg, 02.-03.12.2010. KIT SCientific Publishing. 301-312

Jug, F, Pietzsch, T, Kainmüller, D, Funke, J, Kaiser, M, van Nimwegen, E, Rother, C and Myers, G (2014). 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). 8677 25–36

K

Kaster, F O, Kassemeyer, S, Merkel, B, Nix, O and Hamprecht, F A (2010). An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements. Bildverarbeitung für die Medizin 2010 -- Algorithmen, Systeme, Anwendungen. Springer. 97-101

Technical Report (1.12 MB)

Kaster, F O, Merkel, B, Nix, O and Hamprecht, F A (2011). An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements. Computer Science - Research and Development. 26 65-85

Technical Report (808.16 KB)

Kiefhaber, D (2014). Optical Measurement of Short Wind Waves --- from the Laboratory to the Field. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. Dissertation. http://www.ub.uni-heidelberg.de/archiv/16304

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

Klappstein, J (2008). Optical-Flow based Detection of Moving Objects in Traffic Scenes. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8591/

Klinke, J, Jähne, B and Long, S R (1999). Observations of free and bound gravity-capillary Waves. The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes. 87--88

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