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Adaptive logic networks for facial feature detection

  • D. O. Gorodnichy
  • W. W. Armstrong
  • X. Li
Session 10: Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

The task of automatic facial feature detection in frontal-view, ID-type pictures is considered. Attention is focused on the problem of eye detection. A neural network approach is tested using adaptive logic networks, which are suitable for this problem on account of their high evaluation speed on serial hardware compared to that of more common multilayer perceptrons. We present theoretical reasoning and experimental results. The experiments are carried out with images of different clarity, scale, lighting, orientation and backgrounds.

Keywords

Face Recognition Facial Image Neural Network Approach Sample Pattern Output Scheme 
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 1997

Authors and Affiliations

  • D. O. Gorodnichy
    • 1
  • W. W. Armstrong
    • 1
  • X. Li
    • 1
  1. 1.Dept. of Computing ScienceUniversity of AlbertaEdmontonCanada

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