Optical pattern recognition

David Casasent

doi:10.1117/12.161585

16 November 1992 Optical pattern recognition

David Casasent

Proceedings Volume 10269, Optical Technologies for Aerospace Sensing: A Critical Review; 1026908 (1992) https://doi.org/10.1117/12.161585
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

We discuss how one optical processor (a correlator) can be used for all levels of scene analysis (low, medium, and high-level computer vision). This is achieved by the use of different filter functions for the different levels of a hierarchical inference system. New optical processor filter research that allows such flexibility is advanced and examples of each of these filters are provided. For large class problems, feature extracted from each region of interest in a scene are fed to a neural net processor which performs recognition. New algorithms for optical neural net classifiers are also required. We conclude that present hardware optical correlator advances can significantly benefit from such processing.

Citation Download Citation

David Casasent "Optical pattern recognition", Proc. SPIE 10269, Optical Technologies for Aerospace Sensing: A Critical Review, 1026908 (16 November 1992); https://doi.org/10.1117/12.161585

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