Recent progress in invariant pattern recognition

Henri H. Arsenault; S. Chang; Philippe Gagne; Oscar Gualdron Gonzalez

doi:10.1117/12.262620

27 December 1996 Recent progress in invariant pattern recognition

Henri H. Arsenault, S. Chang, Philippe Gagne, Oscar Gualdron Gonzalez

Proceedings Volume 2969, Second International Conference on Optical Information Processing; (1996) https://doi.org/10.1117/12.262620
Event: Second International Conference on Optical Information Processing, 1996, St. Petersburg, Russian Federation

Abstract

We present some recent results in invariant pattern recognition, including methods that are invariant under two or more distortions of position, orientation and scale. There are now a few methods that yield good results under changes of both rotation and scale. Some new methods are introduced. These include locally adaptive nonlinear matched filters, scale-adapted wavelet transforms and invariant filters for disjoint noise. Methods using neural networks will also be discussed, including an optical method that allows simultaneous classification of multiple targets.

Citation Download Citation

Henri H. Arsenault, S. Chang, Philippe Gagne, and Oscar Gualdron Gonzalez "Recent progress in invariant pattern recognition", Proc. SPIE 2969, Second International Conference on Optical Information Processing, (27 December 1996); https://doi.org/10.1117/12.262620

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