Publications

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Hering, F, Wierzimok, D, Leue, C and Jähne, B (1998). Particle tracking velocimetry beneath water waves. part II : water waves. Exp. Fluids. 24 10-16
Engelmann, D, Stöhr, M, Garbe, C S, Hering, F, Jähne, B, Haußecker, H and Geißler, P (1999). Particle-tracking velocimetry. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 663-697
Engelmann, D, Stöhr, M, Garbe, C S, Hering, F and Jähne, B (2000). Particle-tracking velocimetry. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 646-647
Humbert, S (2005). Partikel-Verfolgung Beim Laserschwei\Dfen Mit Dem Kalman-Filter. University of Heidelberg
Kräuter, C, Richter, K E, Mesarchaki, E, Rocholz, R, Williams, J and Jähne, B (2012). Partitioning of the Trasfer Resistance between Air and Water. SOLAS Open Science Conference, Washington State, USA
Bleyer, M, Rhemann, C and Rother, C (2011). PatchMatch Stereo - Stereo Matching with Slanted Support Windows. 14.1–14.11
(2007). Pattern Recognition – 29th DAGM Symposium. LCNS. Springer. 4713
Schnörr, C and Jähne, B (2007). Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14. Springer. 4713
(2007). Pattern Recognition, 29Th Dagm Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings. Springer
Menze, B H (2007). Pattern Recognition in the Quantitative Analysis of Vector-Valued Image Data: Diagnostic Systems and Applications. University of Heidelberg
Sauer, P (2008). Pattern Recognition On Statistically Textured Surfaces. University of Heidelberg
Weickert, J and Schnörr, C (2000). PDE–Based Preprocessing of Medical Images. Künstliche Intelligenz. 3 5–10
Boppel, S (2008). Peak Identification For Liquid Chromatography And Mass Spectrometry. University of Heidelberg
Munder, S, Schnörr, C and Gavrila, D M (2008). Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Trans. Intell. Transp. Systems. 9 333-343
Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009). A perceptually motivated online benchmark for image matting. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. 2009 IEEE 1826–1833. www.alphamatting.com.
Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009). A perceptually motivated online benchmark for image matting. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. 2009 IEEE 1826–1833. www.alphamatting.com.
Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009). A perceptually motivated online benchmark for image matting. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. 2009 IEEE 1826–1833
Kondermann, D, 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 (2012). On Performance Analysis of Optical Flow Algorithms. Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop 2011. Springer. LNCS 329-355
Jähne, B and Haußecker, H (2000). Performance characteristics of low-level motion estimation in spatiotemporal images. Performance Characterization in Computer Vision. Kluwer, Dordrecht. pp. 139-152
Jähne, B and Förstner, W (1997). Performance characteristics of low-level motion estimators in spatiotemporal images. DAGM-Workshop Performance Characteristics and Quality of Computer Vision Algorithms, Braunschweig, September 18, 1997. Institute of Photogrammetry, Univ.\ Bonn
Schellewald, C, Roth, S and Schnörr, C (2002). Performance Evaluation Of A Convex Relaxation Approach To The Quadratic Assignment Of Relational Object Views. Dept. Math. and Comp. Science, University of Mannheim, Germany
Mund, J, Zouhar, A, Meyer, L, Fricke, H and Rother, C (2015). Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons. Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems. 85–94
Mund, J, Zouhar, A, Meyer, L, Fricke, H and Rother, C (2015). Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons. Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems. 85–94
Antic, B and Ommer, B (2015). Per-Sample Kernel Adaptation for Visual Recognition and Grouping. Proceedings of the IEEE International Conference on Computer Vision. IEEEPDF icon Technical Report (1.58 MB)
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2013). Persistency by Pruning for General Graphical Models. submitted to NIPS 2013
Preusser, T, Droske, M, Garbe, C S, Rumpf, M and Telea, A (2007). A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.. SIAM Journal of Applied Mathematics. 68 599-618
Denitiu, A, Petra, S, Schnörr, C and Schnörr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73--102PDF icon Technical Report (2.24 MB)
Denitiu, A, Petra, S, Schnörr, C and Schnörr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73–102
Baus, U (2007). Phasenmessende Streifenreflektometrie Mit Stereo-Monitor-Anordnung Zur Vermessung Von Nicht Stetigen Spiegelnden Präzisionsflächen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Lalonde, J François, Hoiem, D, Efros, A A, Rother, C, Winn, J and Criminisi, A (2007). Photo clip art. Proceedings of the ACM SIGGRAPH Conference on Computer Graphics. http://graphics.cs.cmu.edu/projects/photoclipart/
Schmidt, M and Jähne, B (2009). A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 1--15
Vlasenko, A and Schnörr, C (2010). Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans.~Image Proc. 19 586-595PDF icon Technical Report (2.65 MB)
Vlasenko, A and Schnörr, C (2010). Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans. Image Proc. 19 586-595
Vlasenko, A and Schnörr, C (2008). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. Pattern Recognition – 30th DAGM Symposium. Springer Verlag. 5096 406–415
Vlasenko, A and Schnörr, C (2008). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 406--415PDF icon Technical Report (1.6 MB)

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