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2009
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.
S. Vicente, Kolmogorov, V., and Rother, C., “Joint optimization of segmentation and appearance models”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 755–762.
J. Fehr and Burkhardt, H., “Local Rotation Invariant Patch Descriptors for 3D Vector Fields”, in to be submitted, 2009.
B. Jähne, “Methoden zur schnellen und genauen Messung der Gasaustauschrate im Aelotron mit Gasen niedriger und hoher Löslichkeit”, Forschungsgruppe Bildverarbeitung, Interdisziplinäres Zentrum für Wissenschaftliches Rechnen und Institut für Umweltphysik, Universität Heidelberg, 2009.
D. Kondermann, “Modular Optical Flow Estimation with Applications to Fluid Dynamics”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.
D. Kondermann, “Modular Optical Flow Estimation with Applications to Fluid Dynamics”. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2009.
B. Ommer and Malik, J., “Multi-scale Object Detection by Clustering Lines”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, p. 484--491.PDF icon Technical Report (3.18 MB)
M. Hanselmann, Köthe, U., Renard, B. Y., Kirchner, M., Heeren, R. M. A., and Hamprecht, F. A., “Multivariate Watershed Segmentation of Compositional Data”, in Proceedings of the 15th International Conference on Discrete Geometry for Computer Imagery (DGCI), in press, 2009, vol. 5810, pp. 180-192.PDF icon Technical Report (1.25 MB)
S. Trittler and Hamprecht, F. A., “Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation”, Digital Signal Processing, vol. 19, pp. 628-639, 2009.PDF icon Technical Report (511.23 KB)
D. Singaraju, Rother, C., and Rhemann, C., “New appearance models for natural image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 659–666.
K. E. Richter and Jähne, B., “New schemes for fast measurements of air-sea gas exchange in the Aeolotron lab”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.
K. Mbock, “A Novel Algorithm for Motion Estimation with Explicit Consideration of Perturbations”, University of Heidelberg, 2009.
B. Jähne, “Objektive Kriterien unterstützen die anwendungsorientierte Auswahl einer Kamera”. 2009.
W. Mischler, Rocholz, R., and Jähne, B., “Optical method for measuring size-distribution and lifetime of bubbles”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.
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.
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.
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.
C. Kondermann, “Postprocessing and Restoration of Optical Flows”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.
C. Kondermann, “Postprocessing and Restoration of Optical Flows”. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2009.
L. Görlitz, Menze, B. H., Kelm, B. Michael, and Hamprecht, F. A., “Processing Spectral Data”, Surface and Interface Analysis, vol. 41, pp. 636-644, 2009.PDF icon Technical Report (4.17 MB)
S. Kassemeyer, “Quantification of Tumour Angiogenesis Using Pattern Recognition”, University of Heidelberg, 2009.
B. Andres, Köthe, U., Bonea, A., Nadler, B., and Hamprecht, F. A., “Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times”, in Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings, 2009, vol. 5748, pp. 502-511.PDF icon Technical Report (3.08 MB)
M. Erz and Jähne, B., “Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras”, in 3rd Workshop on Dynamic 3-D Imaging, 2009, vol. 5742, p. 28--41.
A. Grützmann, “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, 2009.
B. Ommer, Mader, T., and Buhmann, J. M., “Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera”, International Journal of Computer Vision, vol. 83, p. 57--71, 2009.PDF icon Technical Report (9.61 MB)
M. Staudacher, Hamprecht, F. A., and Görlitz, L., “Self Adjustment of Scanning Electron Microscopes / Selbstadaptivität von Rasterelektronenmikroskopen”, Patent, Patent Number WO2009062781A1, 2009.PDF icon Technical Report (46.64 KB)
J. Greis, “Semi-automatic analysis of high-information-content neurobiological image data”, University of Heidelberg, 2009.
T. Kumpf, “Sichtfelddesign mittels Freiformspiegel für katadioptrische Systeme”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2009.
C. S. Garbe, Kondermann, D., Jehle, M., and Jähne, B., “Spatiotemporal image analysis for flow measurements”, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 289--305, 2009.
F. Lauer and Schnörr, C., “Spectral Clustering of Linear Subspaces for Motion Segmentation”, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, in press, 2009, pp. 678-685.
F. Lauer and Schnörr, C., “Spectral Clustering of Linear Subspaces for Motion Segmentation”, in Proc.~IEEE Int.~Conf.~Computer Vision (ICCV'09), 2009.PDF icon Technical Report (1.12 MB)
F. Lauer and Schnörr, C., “Spectral Clustering of Linear Subspaces for Motion Segmentation”, in Proc. IEEE Int. Conf. Computer Vision (ICCV'09), Kyoto, Japan, 2009.

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