The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as it does not require computation of image motion prior to 3D interpretation. This interpretation is obtained by minimizing a functional with two characteristic terms, one of conformity to the spatiotemporal changes in the image sequence, the other of regularization based on anisotropic diffusion. The Euler-Lagrange equations corresponding to the functional minimization are solved iteratively via the half-quadratic algorithm.


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    Title :

    Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion


    Contributors:
    Sekkati, H. (author) / Mitiche, A. (author)


    Publication date :

    2003-01-01


    Size :

    601350 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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