Two-View Geometry Estimation Unaffected by a Dominant Plane
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.
Cite
Text
Chum et al. "Two-View Geometry Estimation Unaffected by a Dominant Plane." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.354Markdown
[Chum et al. "Two-View Geometry Estimation Unaffected by a Dominant Plane." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/chum2005cvpr-two/) doi:10.1109/CVPR.2005.354BibTeX
@inproceedings{chum2005cvpr-two,
title = {{Two-View Geometry Estimation Unaffected by a Dominant Plane}},
author = {Chum, Ondrej and Werner, Tomás and Matas, Jiri},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2005},
pages = {772-779},
doi = {10.1109/CVPR.2005.354},
url = {https://mlanthology.org/cvpr/2005/chum2005cvpr-two/}
}