Face Class Modeling in Eigenfaces Space

We present a method for face class modeling in the eigenfaces space using a large-margin classifier like SVM. Another issue addressed is how to select the number of eigenfaces to achieve a good classification rate. As the experimental evidence show, generally one needs less eigenfaces than usually considered. We will present different strategies and discuss their effectiveness in the case of face-class modeling.


Published in:
Proceedings of the 3rd International Workshop on Pattern Recognition in Information Systems (PRIS), Anger, France, 38-45
Year:
2003
Publisher:
Berlin, SPIE
Keywords:
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 Record created 2006-06-14, last modified 2018-01-27

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