Face Detection Using Compound Features

Linlin Huang; Akinobu Shimizu; Hidefumi Kobatake

doi:10.11499/sicep.2004.0.3.1

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0.3.1

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Face Detection Using Compound Features

*Linlin Huang, Akinobu Shimizu, Hidefumi Kobatake

Author information

Keywords: face detection, compound feature, polynomial neural network

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Pages 3

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Abstract

We propose a face detection method using compound features. Four kinds of features are combined to construct a compound feature vector. The projection of the feature vector on a reduced feature subspace learned by PCA is used as the input of the classifier, which is a polynomial neural network (PNN). The experimental results demonstrate the effectiveness of the proposed method.

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