Bayesian approach with nonlinear kernels to feature extraction

  • Kenji Nagao
  • Published 2004 in
    Proceedings of the 17th International Conference…

Abstract

Presented here is a new algorithm for finding the positions of features in images of samples from particular object classes, such as human faces. Existing algorithms that address this problem mostly deal only with image variations resulting from simple translation in the image plane, as well as differences of objects in the classes, by searching for… (More)
DOI: 10.1109/ICPR.2004.1334084

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