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P. Sauer, “Pattern Recognition on Statistically Textured Surfaces”, University of Heidelberg, 2008.
J. Weickert and Schnörr, C., “PDE–Based Preprocessing of Medical Images”, Künstliche Intelligenz, vol. 3, pp. 5–10, 2000.
S. Boppel, “Peak Identification for Liquid Chromatography and Mass Spectrometry”, University of Heidelberg, 2008.
S. Munder, Schnörr, C., and Gavrila, D. M., “Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models”, IEEE Trans. Intell. Transp. Systems, vol. 9, pp. 333-343, 2008.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., “A perceptually motivated online benchmark for image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., “A perceptually motivated online benchmark for image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., “A perceptually motivated online benchmark for image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
D. Kondermann, Abraham, S., Förstner, W., Gehrig, S., Imiya, A., Jähne, B., Klose, F., Magor, M., Mayer, H., Mester, R., Pajdla, T., Reulke, R., and Zimmer, H., “On Performance Analysis of Optical Flow Algorithms”, in Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop 2011, 2012, vol. LNCS, pp. 329-355.
B. Jähne and Haußecker, H., “Performance characteristics of low-level motion estimation in spatiotemporal images”, Performance Characterization in Computer Vision. Kluwer, Dordrecht, pp. pp. 139-152, 2000.
B. Jähne and Förstner, W., “Performance characteristics of low-level motion estimators in spatiotemporal images”, in DAGM-Workshop Performance Characteristics and Quality of Computer Vision Algorithms, Braunschweig, September 18, 1997, 1997.
C. Schellewald, Roth, S., and Schnörr, C., “Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 02/2002, 2002.
J. Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., “Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons”, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85–94.
J. Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., “Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons”, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85–94.
B. Antic and Ommer, B., “Per-Sample Kernel Adaptation for Visual Recognition and Grouping”, in Proceedings of the IEEE International Conference on Computer Vision, 2015.PDF icon Technical Report (1.58 MB)
P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Persistency by Pruning for General Graphical Models”, in submitted to NIPS 2013., 2013.
T. Preusser, Droske, M., Garbe, C. S., Rumpf, M., and Telea, A., “A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.”, SIAM Journal of Applied Mathematics, vol. 68, pp. 599-618, 2007.
A. Denitiu, Petra, S., Schnörr, C., and Schnörr, C., “Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections”, Fundamenta Informaticae, vol. 135, p. 73--102, 2014.PDF icon Technical Report (2.24 MB)
A. Denitiu, Petra, S., Schnörr, C., and Schnörr, C., “Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections”, Fundamenta Informaticae, vol. 135, pp. 73–102, 2014.
U. Baus, “Phasenmessende Streifenreflektometrie mit Stereo-Monitor-Anordnung zur Vermessung von nicht stetigen spiegelnden Präzisionsflächen”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2007.
J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., “Photo clip art”, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.
M. Schmidt and Jähne, B., “A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light”, in 3rd Workshop on Dynamic 3-D Imaging, 2009, vol. 5742, p. 1--15.
A. Vlasenko and Schnörr, C., “Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates”, IEEE Trans.~Image Proc., vol. 19, pp. 586-595, 2010.PDF icon Technical Report (2.65 MB)
A. Vlasenko and Schnörr, C., “Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates”, IEEE Trans. Image Proc., vol. 19, pp. 586-595, 2010.
A. Vlasenko and Schnörr, C., “Physically Consistent Variational Denoising of Image Fluid Flow Estimates”, in Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 406–415.
A. Vlasenko and Schnörr, C., “Physically Consistent Variational Denoising of Image Fluid Flow Estimates”, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 406--415.PDF icon Technical Report (1.6 MB)
B. Jähne, “Physics and chemistry of gas exchange on the ocean surface”. 1989.
H. Haußecker, Schimpf, U., Garbe, C. S., and Jähne, B., “Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 103--108.
R. Snajder, “Pipeline für die automatisierte Objektsegmentierung von 3D Lightshet Mikroskopiebildern”, Heidelberg University, 2019.
H. Meine, Köthe, U., and Stelldinger, P., “Pixel Approximation Errors in Common Watershed Algorithms”, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.PDF icon Technical Report (6.5 MB)
H. Meine, Köthe, U., and Stelldinger, P., “Pixel Approximation Errors in Common Watershed Algorithms”, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.
E. Bodnariuc, Schiffner, M. F., Petra, S., and Schnörr, C., “Plane Wave Acoustic Superposition for Fast Ultrasound Imaging”, International Ultrasonics Symposium. 2016.
D. Schmund, Schurr, U., Jähne, B., Haußecker, H., and Geißler, P., “Plant-leaf growth studied by image sequence analysis”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 719-735, 1999.
B. Jähne, “Plenoptic image acquisition and processing”, in Proc.\ Int. Symp. Microoptical Imaging and Projection (MIPS2012), 2012, p. 87--89.
C. S. Garbe, Voss, B., and Stapf, J., “Plenoptic Particle Streak Velocimetry (pPSV): 3D3C fluid flow measurement from light fields with a single plenoptic camera”, 16th International Symposium on Applications of Laser Techniques to Fluid Mechanics. Instituto Superior Técnico, pp. 1-12, 2012.
F. Besse, Rother, C., Fitzgibbon, A., and Kautz, J., “PMBP: PatchMatch Belief Propagation for correspondence field estimation”, International Journal of Computer Vision, vol. 110, pp. 2–13, 2014.

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