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Issue No. 03 - May/June (2011 vol. 13)
ISSN: 1521-9615
pp: 9-13
Marcelo Mansano , UEPG, Ponta Grossa
Alceu de Souza Britto, Jr. , PUCPR Pontifical Catholic University of Parana, Curitiba Curitiba
Luiz Oliveira , UFPR, Curitiba
Alessandro Koerich , PUCPR, Curitiba
<p>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.</p>
Face recognition, facial expression recognition, feature selection, scientific computing, graphics and multimedia
Marcelo Mansano, Alceu de Souza Britto, Jr., Luiz Oliveira, Alessandro Koerich, "2D Principal Component Analysis for Face and Facial-Expression Recognition", Computing in Science & Engineering, vol. 13, no. , pp. 9-13, May/June 2011, doi:10.1109/MCSE.2010.149
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