30 April 1987 "Optical Pattern Recognition And Ai Algorithms And Architectures For Atr And Computer Vision"
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Proceedings Volume 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology; (1987); doi: 10.1117/12.940009
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Casasent, ""Optical Pattern Recognition And Ai Algorithms And Architectures For Atr And Computer Vision"", Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987); doi: 10.1117/12.940009; https://doi.org/10.1117/12.940009
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KEYWORDS
Fourier transforms

Detection and tracking algorithms

Computer generated holography

Artificial intelligence

Image filtering

Optical pattern recognition

Evolutionary algorithms

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