Optical multiple-correlation system for pattern recognition

Katsunori Matsuoka; Tomoko Minomo; Tsutomu Yotsuya; Ichirou Kasai; Hideki Onoda; Ariho Ueno

doi:10.1117/12.467614

18 October 2002 Optical multiple-correlation system for pattern recognition

Katsunori Matsuoka, Tomoko Minomo, Tsutomu Yotsuya, Ichirou Kasai, Hideki Onoda, Ariho Ueno

Proceedings Volume 4902, Optomechatronic Systems III; (2002) https://doi.org/10.1117/12.467614
Event: Optomechatronic Systems III, 2002, Stuttgart, Germany

Abstract

We have developed an optical multiple correlation system for pattern recognition. It has superior ability of pattern discrimination even though an input image contains an unknown and complicated background or noise, which often disturbs the pattern recognition in the real world application. A design method for the multiple correlation filters has been developed, in which correlation filters are synthesized with component images extracted from training images by the principal component analysis. It is shown the correlation filters designed by this method has better efficiency on the noise tolerance and the detection ability than the filters synthesized directly with all training images. An optical multiple-correlation system has been developed and it is applied to a vision system of the robot named 'Gazing Tiger', in which the optical multiple correlation system detects locations of human faces in crowds and the robot looks a human face producing largest signal of correlation. The developed optical system can operate well even in the crowd and in the complicated background. It denotes the superior ability of the multiple correlation system we have developed.

Citation Download Citation

Katsunori Matsuoka, Tomoko Minomo, Tsutomu Yotsuya, Ichirou Kasai, Hideki Onoda, and Ariho Ueno "Optical multiple-correlation system for pattern recognition", Proc. SPIE 4902, Optomechatronic Systems III, (18 October 2002); https://doi.org/10.1117/12.467614

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KEYWORDS

Image filtering

Pattern recognition

Signal detection

Optical filters

Optical pattern recognition

Computing systems

Imaging systems

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