Nonlinear matrix diffusion for optic flow estimation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2449 LNCS, Issue , 2002, Pages 446-453

  Brox, Thomas ^a   Weickert, Joachim ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MATRIX ALGEBRA; OPTICAL FLOWS; TENSORS; IMAGE PROCESSING;

LINEAR STRUCTURE TENSORS; MATRIX-VALUED; NONLINEAR DIFFUSION; NONLINEAR MATRIX DIFFUSION; NONLINEAR STRUCTURE TENSOR; OPTIC FLOW; SPATIO TEMPORAL;

PATTERN RECOGNITION;

EID: 84878591254     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45783-6_54     Document Type: Conference Paper

References (13)

1. J. L. Barron, D. J. Fleet, and S. S. Beauchemin. Performance of optical flow techniques. International Journal of Computer Vision, 12(1):43-77, Feb. 1994.
2. J. Bigün, G. H. Granlund, and J. Wiklund. Multidimensional orientation estimation with applications to texture analysis and optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(8):775-790, Aug. 1991.
3. W. Förstner and E. Gülch. A fast operator for detection and precise location of distinct points, corners and centres of circular features. In Proc. ISPRS Intercommission Conference on Fast Processing of Photogrammetric Data, pages 281-305, Interlaken, Switzerland, June 1987.
4. B. Galvin, B. McCane, K. Novins, D. Mason, and S. Mills. Recovering motion fields: an analysis of eight optical flow algorithms. In Proc. 1998 British Machine Vision Conference, Southampton, England, Sept. 1998.
5. B. Jähne. Spatio-Temporal Image Processing, volume 751 of Lecture Notes in Computer Science. Springer, Berlin, 1993.
6. B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proc. Seventh International Joint Conference on Artificial Intelligence, pages 674-679, Vancouver, Canada, Aug. 1981.
7. M. Middendorf and H.-H. Nagel. Estimation and interpretation of discontinuities in optical flow fields. In Proc. Eighth International Conference on Computer Vision, volume 1, pages 178-183, Vancouver, Canada, July 1995. IEEE Computer Society Press.
8. H.-H. Nagel and A. Gehrke. Spatiotemporally adaptive estimation and segmentation of OF-fields. In H. Burkhardt and B. Neumann, editors, Computer Vision - ECCV '98, volume 1407 of Lecture Notes in Computer Science, pages 86-102. Springer, Berlin, 1998.
9. A. R. Rao and B. G. Schunck. Computing oriented texture fields. CVGIP: Graphical Models and Image Processing, 53:157-185, 1991.
10. D. Tschumperlé and R. Deriche. Diffusion tensor regularization with contraints preservation. In Proc. 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 1, pages 948-953, Kauai, HI, Dec. 2001. IEEE Computer Society Press.
11. J. Weickert. Anisotropic Diffusion in Image Processing. Teubner, Stuttgart, 1998.
12. J. Weickert and T. Brox. Diffusion and regularization of vector- and matrix-valued images. Technical Report 58, Department of Mathematics, Saarland University, Saarbrücken, Germany, Mar. 2002.
13. J. Weickert and C. Schnörr. Variational optic flow computation with a spatiotemporal smoothness constraint. Journal of Mathematical Imaging and Vision, 14(3):245-255, May 2001.