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ICCV
1999
IEEE

Epipolar Geometry Estimation by Tensor Voting in 8D

11 years 4 months ago
Epipolar Geometry Estimation by Tensor Voting in 8D
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy point set in an 8D space. Given a set of noisy point correspondences in twoimagesas obtainedfromtwoviews of astaticscene without correspondences, even in the presence of moving objects, our method pulls out inlier matches while rejecting outliers. Unlike most methods which optimize certain objective function, our approach does not involve initialization or any search in the parameter space, and therefore is free of the problem of local optima or poor convergence. Since no search is involved, it is unnecessary to impose simplifying assumption (such as affine camera or local planar homography) to the scene being analyzed for reducing the search complexity. Subject to the general epipolar constraint only, we detect wrong matches by establishing salient "extremalities" via a novel approach, 8D Tensor V...
Chi-Keung Tang, Gérard G. Medioni, Mi-Suen
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ICCV
Authors Chi-Keung Tang, Gérard G. Medioni, Mi-Suen Lee
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