2D Principal Component Analysis for Face and Facial-Expression Recognition

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2D Principal Component Analysis for Face and Facial-Expression Recognition

Oliveira, Luiz S. and Koerich, Alessandro L. and Mansano, Marcelo and Britto, Alceu S.

Computing in Science and Engineering 2011

Abstract : Although it shows enormous potential as a feature extractor, 2D principal component analysis produces numerous coefficients. Using a feature-selection algorithm based on a multiobjective genetic algorithm to analyze and discard irrelevant coefficients offers a solution that considerably reduces the number of coefficients, while also improving recognition rates. © 2011, The Institute of Electrical and Electronics Engineers, Inc.

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