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Proceedings Paper

Optical AI Symbolic Correlators: Architecture And Filter Considerations
Author(s): David Casasent
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Paper Abstract

Optical correlators provide the unique capability to simultaneously search all regions of an input scene with distortion-invariance, high performance in noise and with the ability to handle multiple objects. This paper examines initial concepts and architectures for correlators in the decomposition of an entire scene to achieve the identification and location of its major constituent parts. The role for such processors in symbolic Al will be emphasized.

Paper Details

Date Published: 9 June 1986
PDF: 6 pages
Proc. SPIE 0625, Optical Computing, (9 June 1986); doi: 10.1117/12.963502
Show Author Affiliations
David Casasent, Carnegie-Mellon University (United States)

Published in SPIE Proceedings Vol. 0625:
Optical Computing
John A. Neff, Editor(s)

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