• Władysław Skarbek
  • Krzysztof Kucharski
  • Mirosław Bober
Part of the Computational Imaging and Vision book series (CIVI, volume 32)


A cascade of linear and nonlinear operators is designed for facial image indexing and recognition. We show that such an approach results in efficient and lowdimensional feature space for face representation with enhanced discriminatory power. Experimental evaluation of the proposed FR algorithm was conducted on MPEG test set with over 8000 images of about 1000 individuals.


Face Recognition Linear Discriminant Analysis Facial Image Query Image Equal Error Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer 2006

Authors and Affiliations

  • Władysław Skarbek
    • 1
  • Krzysztof Kucharski
    • 1
  • Mirosław Bober
    • 2
  1. 1.Institute of Radioelectronics Warsaw University of TechnologyPoland
  2. 2.Visual Information Laboratory Mitsubishi Electric GuildfordUnited Kingdom

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