Face Detection Based on Two Dimensional Principal Component Analysis and Support Vector Machine

Abstract

An efficient method of face detection based on two-dimensional principal component analysis (PCA) incorporating with support vector machine (SVM) is proposed in this paper. Firstly, a 2DPCA coarse filter with relatively lower computational complexity is applied to the whole input image to filter out most of the non-face, then follows the SVM classifier to… (More)

Topics

3 Figures and Tables

Cite this paper

@article{Zhang2006FaceDB, title={Face Detection Based on Two Dimensional Principal Component Analysis and Support Vector Machine}, author={Xiaoyu Zhang and Jiexin Pu and Xinhan Huang}, journal={2006 International Conference on Mechatronics and Automation}, year={2006}, pages={1488-1492} }