Fifth International Conference on Computer Vision (ICCV'95)
Epipole and fundamental matrix estimation using virtual parallax
Massachusetts Institute of Technology, Cambridge, Massachusetts
June 20-June 23
ISBN: 0-8186-7042-8
The paper addresses the problem of computing the fundamental matrix which describes a geometric relationship between a pair of stereo images: the epipolar geometry. We propose a novel method based on virtual parallax. Instead of computing directly the 3/spl times/3 fundamental matrix, we compute a homography with one epipole position, and show that this is equivalent to computing the fundamental matrix. Simple equations are derived by reducing the number of parameters to estimate. As a consequence, we obtain an accurate fundamental matrix of rank two with a stable linear computation. Experiments with simulated and real images validate our method and clearly show the improvement over existing methods.
Index Terms:
stereo image processing; computational geometry; matrix algebra; fundamental matrix estimation; virtual parallax; geometric relationship; stereo images; epipolar geometry; homography; epipole position; simple equations; stable linear computation; real images
Citation:
B. Boufama, R. Mohr, "Epipole and fundamental matrix estimation using virtual parallax," iccv, pp.1030, Fifth International Conference on Computer Vision (ICCV'95), 1995