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.<>


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    Title :

    Epipole and fundamental matrix estimation using virtual parallax


    Contributors:
    Boufama, B. (author) / Mohr, R. (author)


    Publication date :

    1995-01-01


    Size :

    735221 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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