Determining the Similarity of Geometric Models

Abstract

The development of systems which recover geometric models of objects and environments from sensed data require effective measures of modeling accuracy. Even relatively simple geometric measures of shape similarity are computationally complex and difficult to define with precision. We argue that more meaningful measures of modeling accuracy must be developed within the context of the functions served by the entities being modeled.