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Proceedings Paper

"Optical Pattern Recognition And Ai Algorithms And Architectures For Atr And Computer Vision"
Author(s): David Casasent
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Paper Abstract

Optical Pattern Recognition has provided many attractive algorithms and architecture for advanced use in Automatic Target Recognition (ATR) and computer vision. This work is reviewed and highlighted in this paper. Attractive aspects of all of this research are: its attention to distortion-invariant, multi-target object recognition and the extensive testing which has been performed of these various architectures on large databases, as well as the design and fabrication of several quite compact optical processing architectures. Recent Artificial Intelligence (AI) techniques promise to further advance optical processing. These issues are summarized herein.

Paper Details

Date Published: 30 April 1987
PDF: 12 pages
Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987); doi: 10.1117/12.940009
Show Author Affiliations
David Casasent, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 0755:
Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology
Francis J. Corbett, Editor(s)

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