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Proceedings Paper

Invariance and image processing
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Paper Abstract

Pattern recognition methods should be robust against small changes, yet be insensitive to certain modifications such as changes of position, intensity, orientation, scale and color. Those two requirements are somewhat contradictory. For example, linear filtering methods are invariant to changes in position, but by definition changes in the outputs are proportional to changes of intensity of the objects. We shall discuss recent advances in invariant pattern recognition, including nonlinear methods that allow maintaining the shift invariance of linear filtering while being insensitive to changes of intensity of objects of interest. Detection of targets in camouflage and multiobject recognition will also be discussed.

Paper Details

Date Published: 20 January 2006
PDF: 7 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 602706 (20 January 2006); doi: 10.1117/12.667702
Show Author Affiliations
Henri H. Arsenault, Univ. Laval (Canada)
Pascuala Garcia-Martinez, Univ. de València (Spain)

Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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