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

Authors:
Luiz Oliveira;Marcelo Mansano;Alessandro Koerich;Alceu de Souza Britto, Jr.
Affiliations:
UFPR, Curitiba;UEPG, Ponta Grossa;PUCPR, Curitiba;PUCPR Pontifical Catholic University of Parana, Curitiba Curitiba
Venue:
Computing in Science and Engineering
Year:
2011

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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.