Viola-Jones Based Detectors: How Much Affects the Training Set?

  • Modesto Castrillón-Santana
  • Daniel Hernández-Sosa
  • Javier Lorenzo-Navarro
Conference paper

DOI: 10.1007/978-3-642-21257-4_37

Volume 6669 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Castrillón-Santana M., Hernández-Sosa D., Lorenzo-Navarro J. (2011) Viola-Jones Based Detectors: How Much Affects the Training Set?. In: Vitrià J., Sanches J.M., Hernández M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg

Abstract

This paper presents a study on the facial feature detection performance achieved using the Viola-Jones framework. A set of classifiers using two different focuses to gather the training samples is created and tested on four different datasets covering a wide range of possibilities. The results achieved should serve researchers to choose the classifier that better fits their demands.

Keywords

Viola-Jones detectors facial feature detection training sets 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Modesto Castrillón-Santana
    • 1
  • Daniel Hernández-Sosa
    • 1
  • Javier Lorenzo-Navarro
    • 1
  1. 1.SIANI Edif. Central del Parque Científico TecnológicoUniversidad de Las Palmas de Gran CanariaSpain