Multi-stage Combination of Geometric and Colorimetric Detectors for Eyes Localization

  • Maurice Milgram
  • Rachid Belaroussi
  • Lionel Prevost
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

We present in this paper a method for the localization of the eyes in a facial image. This method works on color images, applying the so called Chinese Transformation (CT) on edge pixels to detect local symmetry. The CT is combined with a skin color model based on a modified Gaussian Mixture Model (GMM). The CT and the modified GMM give us a small rectangular area containing one eye with a very high probability. This rectangle is then processed to find the precise position of the eye, using four sources of information: a darkness measure, a circle finder, a “not skin” finder and a position information. Experimental results on a large database are presented on nearly 1000 faces from the ECU database.

Keywords

Ground Truth Face Image Gaussian Mixture Model Face Detection Edge Pixel 
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-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Maurice Milgram
    • 1
  • Rachid Belaroussi
    • 1
  • Lionel Prevost
    • 1
  1. 1.LISIF Université Pierre et Marie Curie BC 252Paris Cedex 05France

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