DocumentCode
384174
Title
Accuracy of the regularised dynamic programming stereo
Author
Gimel´farb, Georgy ; Lipowezky, Uri
Author_Institution
Dept. of Comput. Sci., Auckland Univ., New Zealand
Volume
3
fYear
2002
fDate
2002
Firstpage
619
Abstract
Binocular stereo is an ill-posed problem that has to be regularised with respect to partial occlusions and homogeneous textures for obtaining a unique solution. We analyse typical errors of the dynamic programming stereo based on a probabilistic regularisation of partial occlusions. Experiments show that the reconstruction is accurate until occlusions do not prevail over the binocularly visible terrain.
Keywords
Markov processes; dynamic programming; image texture; probability; stereo image processing; binocular stereo; homogeneous textures; ill-posed problem; partial occlusions; probabilistic regularisation; regularised dynamic programming stereo; unique solution; Computer science; Distortion; Dynamic programming; Error analysis; History; Image reconstruction; Pixel; Stereo image processing; Surface texture; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1048015
Filename
1048015
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