Gender discriminating models from facial surface normals

  title={Gender discriminating models from facial surface normals},
  author={Jing Wu and William A. P. Smith and Edwin R. Hancock},
  journal={Pattern Recognition},
In this paper, we show how to use facial shape information to construct discriminating models for gender classification. We represent facial shapes using 2.5D fields of facial surface normals, and investigate three different methods to improve the gender discriminating capacity of the model constructed using the standard eigenspace method. The three methods are novel variants of principal geodesic analysis (PGA) namely (a) weighted PGA, (b) supervised weighted PGA, and (c) supervised PGA. Our… CONTINUE READING
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