DocumentCode :
3619108
Title :
Two-view geometry estimation unaffected by a dominant plane
Author :
O. Chum;T. Werner;J. Matas
Author_Institution :
Dept. of Cybern., Czech Tech. Univ., Prague, Czech Republic
Volume :
1
fYear :
2005
fDate :
6/27/1905 12:00:00 AM
Firstpage :
772
Abstract :
A RANSAC-based algorithm for robust estimation of epipolar geometry from point correspondences in the possible presence of a dominant scene plane is presented. The algorithm handles scenes with (i) all points in a single plane, (ii) majority of points in a single plane and the rest off the plane, (iii) no dominant plane. It is not required to know a priori which of the cases (i)-(iii) occurs. The algorithm exploits a theorem we proved, that if five or more of seven correspondences are related by a homography then there is an epipolar geometry consistent with the seven-tuple as well as with all correspondences related by the homography. This means that a seven point sample consisting of two outliers and five inliers lying in a dominant plane produces an epipolar geometry which is wrong and yet consistent with a high number of correspondences. The theorem explains why RANSAC often fails to estimate epipolar geometry in the presence of a dominant plane. Rather surprisingly, the theorem also implies that RANSAC-based homography estimation is faster when drawing nonminimal samples of seven correspondences than minimal samples of four correspondences.
Keywords :
"Geometry","Layout","Robustness","Lamps","Cybernetics","Computational complexity","Measurement standards","Computer Society","Computer vision","Pattern recognition"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.354
Filename :
1467346
Link To Document :
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