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Optimizing Random Patterns for Invariants-Based Identification

Pilu, Maurizio

HPL-1999-45

Keyword(s): random point patterns; invariants; optimization

Abstract: This paper addresses the optimization of pseudo-random planar point patterns for invariant-based identification or indexing. This is a novel problem and is formulated here as the maximization of the spacing of all the invariants when considered as points in a space. The task is of formidable complexity and a stochastic approximation strategy is proposed that yields interesting results.

14 Pages

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