Affiliation:
1. Computer Science Department Courant Institute of Mathematical Sciences New York University 251 Mercer Street New York, New York 10012
Abstract
In this paper we analyze the problem of matching partially obscured, noise-corrupted images of composite scenes in two and three dimensions. We describe efficient methods for smoothing the noisy data and for matching portions of the observed object boundaries (or of characteristic curves lying on bounding surfaces of 3-D objects) to prestored models. We also report initial experiments showing the efficacy of this procedure.
Subject
Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modelling and Simulation,Software
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