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The Chern-Mather class of the multiview variety
Authors:Corey Harris  Daniel Lowengrub
Institution:1. Max-Planck-Institut fur Mathematik in den Naturwissenschaften, Leipzig, Germany;2. Department of Mathematics, University of California, Berkeley, California, USA
Abstract:The multiview varietyassociated to a collection of N cameras records which sequences of image points in ?2N can be obtained by taking pictures of a given world point x?3 with the cameras. In order to reconstruct a scene from its picture under the different cameras, it is important to be able to find the critical points of the function which measures the distance between a general point u?2N and the multiview variety. In this paper we calculate a specific degree 3 polynomial that computes the number of critical points as a function of N. In order to do this, we construct a resolution of the multiview variety and use it to compute its Chern-Mather class.
Keywords:Chern-Mather class  Chern-Schwartz-MacPherson class  Computer vision  Euclidean distance degree  Higher discriminants
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