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Improving Face Detection

  • Penousal Machado
  • João Correia
  • Juan Romero
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7244)

Abstract

A novel Genetic Programming approach for the improvement of the performance of classifier systems through the synthesis of new training instances is presented. The approach relies on the ability of the Genetic Programming engine to identify and exploit shortcomings of classifier systems, and generate instances that are misclassified by them. The addition of these instances to the training set has the potential to improve classifier’s performance. The experimental results attained with face detection classifiers are presented and discussed. Overall they indicate the success of the approach.

Keywords

Face detection Haar cascade 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Penousal Machado
    • 1
  • João Correia
    • 1
  • Juan Romero
    • 2
  1. 1.CISUC, Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal
  2. 2.Faculty of Computer ScienceUniversity of A CoruñaCoruñaSpain

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