We cast the problem of inferring the 3D shape of a scene from a collection of defocused images in the framework of anisotropic diffusion. We propose an algorithm that can estimate the shape of a scene by inferring the diffusion coefficient of a heat equation. The method is optimal, as we pose it as the minimization of a certain cost functional based on the input images, and fast. Furthermore, we also extend our algorithm to the case of multiple images, and derive a 3D scene segmentation algorithm that can work in the presence of pictorial camouflage.


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    Title :

    3D shape from anisotropic diffusion


    Contributors:
    Favaro, P. (author) / Osher, S. (author) / Soatto, S. (author) / Vese, L. (author)


    Publication date :

    2003-01-01


    Size :

    3694231 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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