Optimizing random patterns for invariants-based identification

被引：0

作者：

Pilu, M ^{[1
]}

机构：

[1] Hewlett Packard Labs, Res, Bristol BS12 6QZ, Avon, England

来源：

15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS: COMPUTER VISION AND IMAGE ANALYSIS | 2000年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：716 / 719

页数：4

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