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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
B. Boufama, Inst. Nat. de Recherche en Inf. et Autom., Grenoble, France
R. Mohr, Inst. Nat. de Recherche en Inf. et Autom., Grenoble, France
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
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