Combining classifiers for robust face detection

Authors:
Lin-Lin Huang;Akinobu Shimizu
Affiliations:
Beijing University of Aeronautics and Astronautics, Beijing, P.R. China;Tokyo University of Agriculture and Technology, Tokyo, Japan
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

Citing 5
Cited 0

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Abstract

In this paper, we propose a face detection method by combining classifiers. We apply two classifiers using features extracted from complementary feature subspaces learned by principal component analysis (PCA). The two classifiers employ the same classification model named a polynomial neural network (PNN). The outputs of the two classifiers are fused to make the final decision. The effectiveness of the proposed method has been demonstrated in experimentals.