Publication details

Face class modeling using mixture of SVMs

Authors

MEYNET J POPOVICI Vlad THIRAN JP

Year of publication 2004
Type Article in Periodical
Magazine / Source IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS
Citation
Description We(1) 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 realtime 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 SVMs. 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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