The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Two-View Geometry Estimation Unaffected by a Dominant Plane
Open accessAbstract
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.
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Cites
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences
Torr, P. H. S., Fitzgibbon, A. W., & Zisserman, A. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008140928553 · Cited by 156
Cited by
Image matching across wide baselines: From paper to practice
Jin, Y., Mishkin, D., Mishchuk, A., Matas, J., Fua, P., Yi, K. M., & Trulls, E. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-020-01385-0 · Cited by 388
Self-citationGrauman, K., & Leibe, B. (2011) · Synthesis Lectures on Artificial Intelligence and Machine Learning · doi:10.2200/s00332ed1v01y201103aim011 · Cited by 126
Metadata
- Authors
- Chum, O., Werner, T., & Matas, J.
- Venue
- 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
- Publisher
- IEEE
- Published
- 2005-07-27
- Volume
- 1
- Pages
- 772-779
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2099927035
- Cited by
- 217
- References
- 3
- FWCI
- 6.51
- Type
- conference paper
- Language
- en
- Open access
- green
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- Chum, O., Werner, T., & Matas, J. (2005). Two-View Geometry Estimation Unaffected by a Dominant Plane. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). https://doi.org/10.1109/cvpr.2005.354
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