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Recognition of elementary geometric figures using rotationally invariant correlation filters

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Abstract

Sophisticated machine vision systems will require a high-speed front end that can compress the massive information present in visual data. These machine vision systems require as input the locations of basic geometric features, such as lines, arcs, and corners. Objects such as lines maintain their shape when viewed from any perspective, but they still must be recognized from an arbitrary rotation angle.

© 1986 Optical Society of America

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