Mixture of SVMs for Face Class Modeling

author: Julien Meynet, Criteo
published: Feb. 25, 2007,   recorded: June 2004,   views: 4588


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We present a method for face detection which uses a new {SVM} structure trained in an expert manner in the eigenface space. This robust method has been introduced as a post processing step in a real-time face detection system. The principle is to train several parallel {SVMs} on subsets of some initial training set and then train a second layer {SVM} on the margins of the first layer of {SVMa}. This approach presents a number of advantages over the classical {SVM}: firstly the training time is considerably reduced and secondly the classification performance is improved, we will present some comparisions with the single {SVM} approach for the case of human face class modeling.

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Comment1 Mehmet, April 26, 2008 at 4:38 p.m.:

Good presentation. I appreciate it.

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