• DocumentCode
    1398359
  • Title

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

  • Author

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

  • Author_Institution
    Fed. Univ. of Parana, Curitiba, Brazil
  • Volume
    13
  • Issue
    3
  • fYear
    2011
  • Firstpage
    9
  • Lastpage
    13
  • 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.
  • Keywords
    face recognition; feature extraction; genetic algorithms; principal component analysis; 2D principal component analysis; face recognition; facial-expression recognition; feature extractor; feature-selection algorithm; irrelevant coefficients; multiobjective genetic algorithm; recognition rates; Accuracy; Covariance matrix; Databases; Face; Face recognition; Feature extraction; Principal component analysis; Face recognition; facial expression recognition; feature selection; graphics and multimedia; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2010.149
  • Filename
    5661748
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1398359