Document Type

Article

Date

1998

Embargo Period

12-18-2012

Keywords

machine intelligence, shape-matching, robotics, evolutionary algorithms

Language

English

Disciplines

Computer Sciences

Description/Abstract

Shape matching techniques are important in machine intelligence, especially in applications such as robotics. Currently, there are three major approaches to shape recognition: statistical, syntactic and neural approaches. This paper presents a fourth approach: evolutionary algorithms. A steady state memetic algorithm is shown to be successful in matching shapes even when they are partially obscured, and even in the presence of noise in the input image.

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