Publications

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Author Title [ Type(Desc)] Year
Conference Paper
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 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
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
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 (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)
Haußecker, H, Schimpf, U, Garbe, C S and Jähne, B (2002). Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer. Gas Transfer at Water Surfaces. American Geophysical Union. 127 103--108
Meine, H, Köthe, U and Stelldinger, P (2009). Pixel Approximation Errors in Common Watershed Algorithms. Discrete Geometry for Computer Imagery. Springer. 5810 193-202
Meine, H, Köthe, U and Stelldinger, P (2009). Pixel Approximation Errors in Common Watershed Algorithms. Discrete Geometry for Computer Imagery. Springer. 5810 193-202PDF icon Technical Report (6.5 MB)
Jähne, (2012). Plenoptic image acquisition and processing. Proc.\ Int. Symp. Microoptical Imaging and Projection (MIPS2012). 87--89
Kondermann, C, Kondermann, D and Garbe, C S (2008). Postprocessing of optical flows via surface measures and motion inpainting. Pattern Recognition. 5096 355--364
Detert, M, Jirka, G H, Jehle, M, Klar, M, Jähne, B, Köhler, H - J and Wenka, T (2004). Pressure fluctuations within subsurface gravel bed caused by turbulent open-channel flow. Proc. of River Flow 2004. A. A. Balkema Publishers. 695-701
Kappes, J H, Swoboda, P, Savchynskyy, B, Hazan, T and Schnörr, C (2015). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc.~SSVM. SpringerPDF icon Technical Report (1.1 MB)
Andres, B, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. ICCV, Proceedings. 2611 - 2618PDF icon Technical Report (8.18 MB)
Andres, B, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCVPDF icon Technical Report (2.95 MB)
Schellewald, C and Schnörr, C (2005). Probabilistic Subgraph Matching Based on Convex Relaxation. Proc.~Int.~Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05). Springer. 3757 171-186
Schiegg, M, Heuer, B, Haubold, C, Wolf, S, Köthe, U and Hamprecht, F A (2015). Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models. ISBI. Proceedings. 394-398PDF icon Technical Report (648.55 KB)
Blom, A H M, Brassel, J - O, von Brocke, M and Mittler, M (1999). Quality classification and process control of micro-spot laser welding. Proceedings of the Ninth International FAIM Conference - Flexible Automation and Intelligent Manufacturing, Tilburg. Begell House. 929--941
Andres, B, Köthe, U, Bonea, A, Nadler, B and Hamprecht, F A (2009). Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times. Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Springer. 5748 502-511PDF icon Technical Report (3.08 MB)
Wierzimok, D and Hering, F (1993). Quantitative imaging of transport in fluids with digital particle tracking velocimetry. Imaging in Transport Processes. Begell House Publishers. 297--308. http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html
Barron, J L and Spies, H (2000). Quantitative regularized range flow. Vision Interface. 203--210
Erz, M and Jähne, B (2009). Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 28--41
Eigenstetter, A, Takami, M and Ommer, B (2014). Randomized Max-Margin Compositions for Visual Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 3590--3597PDF icon Technical Report (8.01 MB)
Schmidt, M, Jehle, M and Jähne, B (2007). Range flow estimation based on photonic mixing device data. Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007. ZESS, Univ.\ Siegen
Weickert, J and Schnörr, C (1999). Räumlich--zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabhängigen Glattheitstermen. Mustererkennung 1999. Springer. 317--324
Wiehler, K, Grigat, R -- R, Heers, J, Schnörr, C and Stiehl, H S (1998). Real--Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology. Mustererkennung 1998. Springer
Strzodka, R and Garbe, C S (2004). Real-time motion estimation and visualization on graphics cards. Proceedings IEEE Visualization 2004. 545--552
Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schnörr, C (2003). Real-Time Optic Flow Computation with Variational Methods. Proc.~Computer Analysis of Images and Patterns (CAIP'03). Springer. 2756 222-229
Yarlagadda, P, Monroy, A, B., C and Ommer, B (2010). Recognition and Analysis of Objects in Medieval Images. Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage. Springer. 296--305PDF icon Technical Report (2.76 MB)
Monroy, A, Carque, B and Ommer, B (2011). Reconstructing the Drawing Process of Reproductions from Medieval Images. Proceedings of the International Conference on Image Processing. IEEE. 2974--2977. https://hciweb.iwr.uni-heidelberg.de/compvis/research/manesse/PDF icon Technical Report (2.43 MB)
Esparza, J, Vepa, L, Helmle, M and Jähne, B (2014). Registration of a multi-camera system with a 3D laser range finder. 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting. 37--46. http://www.uni-das.de/de/Veranstaltungen/fas2014.php
Spies, H, Jähne, B and Barron, J L (2000). Regularised range flow. European Conference on Computer Vision (ECCV). Springer. 2 785--799
Rubio, J C and Ommer, B (2015). Regularizing Max-Margin Exemplars by Reconstruction and Generative Models. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 4213--4221PDF icon Technical Report (2.8 MB)
Reinecke, H, Fantana, N L, Haußecker, H and Jähne, B (1997). Rekonstruktion von Schreiberkurven. Mustererkennung 1997. Springer. 527--536
von Schmude, N, Lothe, P and Jähne, B (2016). Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

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