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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
Gröning, (2003). Radiometrische Kalibrierung und Charakterisierung von CCD- uund CMOS-Bildsensoren und Monokulares 3D-Tracking in Echtzeit. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg.
Haußecker, H and Jähne, B (2000). Radiometry of imaging. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 85--109
Haußecker, H, Jähne, B, Geißler, P and Haußecker, H (1999). Radiometry of imaging. Handbook of Computer Vision and Applications. Academic Press. 1: Sensors and Imaging 103--135
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)
Spies, H, Jähne, B and Barron, J L (2002). Range flow estimation.. Computer Vision and Image Understanding. 85 209--231
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
Schmidt, M, Jehle, M and Jähne, B (2008). Range flow estimation based on photonic mixing device data. Int. J. Intelligent Systems Technologies and Applications. 5 380--392
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)
Lang, S and Ommer, B (2018). Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods. Arts, Computational Aesthetics. 7, 64PDF icon arts-07-00064.pdf (4.6 MB)
Wanner, S and Goldlücke, B (2013). Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images. Pattern Recognition. Springer. 1--10
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. icon Technical Report (2.43 MB)
Grützmann, (2009). Reconstruction of Moving Surfaces of Revolution from Sparse 3-D Measurements using a Stereo Camera and Structured Light. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg.
Lang, S and Ommer, B (2018). Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. European Conference on Computer Vision (ECCV). Springer
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.
Spies, H, Jähne, B and Barron, J L (2000). Regularised range flow. European Conference on Computer Vision (ECCV). Springer. 2 785--799
Lellmann, J and Schnörr, C (2011). Regularizers for Vector-Valued Data and Labeling Problems in Image Processing. Control Systems and Computers. 2 43--54
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
Garbe, C S and Jähne, B (2001). Reliable estimates of the sea surface heat flux from image sequences. Proceedings of the 23th DAGM Symposium on Pattern Recognition, München. Springer. 194--201
Köthe, (2008). Reliable Low-Level Image Analysis. Habilitation thesis. Department Informatik, University of Hamburg, HamburgPDF icon Technical Report (12.44 MB)
Withopf, D (2007). Reliable Real-Time Vehicle Detection and Tracking. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg.
Zhang, H, Hamprecht, F A and Amann, A (2005). Report about VOCs Dataset's Analysis based on Random Forests. Proceedings of the HPC-Asia05. IEEE Computer Society Press. 603-607PDF icon Technical Report (232.13 KB)
Liss, P S, Watson, A J, Bock, E J, Jähne, B, Asher, W E, Frew, N M, Hasse, L, Korenowski, G M, Merlivat, L, Phillips, L F, Schlüssel, P and Woolf, D K (1997). Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases. The Sea Surface and Global Change. Cambridge University Press. 1--33
Schnörr, (1996). Repräsentation von Bilddaten mit einem konvexen Variationsansatz. Mustererkennung 1996. Springer-Verlag. 21--28
Schnörr, (1996). Representation Of Images By A Convex Variational Diffusion Approach. FB Informatik
Jähne, B, Jähne, B and Haußecker, H (2000). Representation of multidimensional signals. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 211--272
Jähne, B, Haußecker, H, Platt, U, Schurr, U and Stitt, M (1997). The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes. Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997. infix. 107--114
Saussen, B (2007). Retention Time Domain Registration Of Liquid Chromatography/mass Spectrometry Data. University of Heidelberg
Wenig, M, Kuhl, S, Beirle, S, Bucsela, E, Jähne, B, Platt, U, Gleason, J and Wagner, T (2004). Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment. J. Geophys. Res. 109 D04315, 1--11