In this paper we propose a new approach to recovering epipolar geometry from a pair of uncalibrated images. We first detect the feature points. By minimizing a proposed cost function, we match the feature points, discard the outliers and recover the epipolar geometry in one step. Experiments on real images show that this approach is effective and fast.


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    Title :

    Recovering epipolar geometry by reactive tabu search


    Contributors:
    Qifa Ke (author) / Gang Xu (author) / Song De Ma (author)


    Publication date :

    1998-01-01


    Size :

    561310 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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