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Image and Informatics Group, LBNL : Home

Shape Metamorphism using Infinite Laplacian Equation

Int. Conf. on Pattern Reconition, 2004

    G. Cong
    M. Esser
    B. Parvin
    G. Bebis

    ABSTRACT

    We present a new approach for shape metamorphism, which is a process of gradually changing a source shape (known) through intermediate shapes (unknown) into a target shape (known). The problem, when represented with implicit scalar function, is under-constrained, and regularization is needed. Using the \(p\)-Laplacian equation (PLE), we generalize a series of regularization terms based on the gradient of the implicit function, and we show that the present methods lack additional constraints for a more stable solution. The novelty of our approach is in the deployment of a new regularization term, which leads to the infinite Laplacian equation (ILE). We show that ILE minimizes the supremum of the gradient and prove that it is optimal for metamorphism since intermediate solutions are equally distributed along their normal direction. Applications of the proposed algorithm for 3D objects are demonstrated.

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    Publication number: LBNL-51202