Shape Metamorphism using p-Laplacian Equation

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 ? -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 when ????? 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 2D and 3D objects are demonstrated.

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Bahram Parvin, Ge Cong, George Bebis, Mehmet Esser
• Keywords: Computer Vision, ICPR 2004, Implicit Scalar Function, Infinite Laplacian Equation, Shape Metamorphism