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Proceedings Paper

Computer simulations for comparison of pattern recognition based on different variants of distortion invariant correlation filters
Author(s): Nikolay N Evtikhiev; Peter A. Ivanov; Andrew S Lyapin; Alexey V Shevchuk; Serge I Sirotkin; Rostislav S Starikov; Alexey V Zaharcev
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Paper Abstract

One of the widespread methods for distorted patterns is to use a distortion invariant correlation filters. Invariant filters have different properties that are quite good for different pattern recognition problems. This paper presents the results of computer simulations of pattern recognition using different modern approaches on distortion invariant correlation filters. The different types of correlation filters (MACE, GMACE, LPCCF, WBKF and others) are compared for input test sets of different examples of patterns. There are presented results of pattern recognition for different types of distortions. The output correlation peaks are compared by its characteristics. The obtained results of comparison provide that in some cases there are correspondences between the choused correlation filter, the variant of pattern and type of the distortion for optimal output peak characteristics.

Paper Details

Date Published: 30 September 2003
PDF: 8 pages
Proc. SPIE 5267, Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, (30 September 2003); doi: 10.1117/12.516436
Show Author Affiliations
Nikolay N Evtikhiev, Moscow Engineering Physics Institute (Russia)
Peter A. Ivanov, Moscow Engineering Physics Institute (Russia)
Andrew S Lyapin, Moscow Engineering Physics Institute (Russia)
Alexey V Shevchuk, Moscow Engineering Physics Institute (Russia)
Serge I Sirotkin, Moscow Engineering Physics Institute (Russia)
Rostislav S Starikov, Moscow Engineering Physics Institute (Russia)
Alexey V Zaharcev, Moscow Engineering Physics Institute (Russia)


Published in SPIE Proceedings Vol. 5267:
Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Roning, Editor(s)

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