一种基于肤色和模板梯度的人脸检测方法

Journal of Applied Sciences ›› 2004, Vol. 22 ›› Issue (4): 487-492.

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A Method Using Skin-Color and Template Gradients for Face Detection

HE Liang-hua^1,2, ZOU Cai-rong², ZHAO Li^1,2

1. Research Center of Learning Science, Southeast University, Nanjing 210096, China;
2. Department of Radio Engineering, Southeast University, Nanjing 210096, China

Received:2003-08-21 Revised:2003-12-01 Online:2004-12-31 Published:2004-12-31

Abstract

Abstract: Face detection is a traditional subject. However with the development of computer science, it is attracting increasing attention. In this paper a combined method for face detection is proposed using skin-color detection and template gradient matching. First, skin-color regions which are considered as face candidate areas are detected using a color model. The principal component analysis is then carried out to produce a common face which is used as a matching face model. Finally, the second order gradient is employed as a decision criterion. Experimental results show that the proposed method can substantially increase detection speed and improve the detection rate.

Key words: face detection, principal component analysis, skin-color

CLC Number:

TP391.4

HE Liang-hua, ZOU Cai-rong, ZHAO Li. A Method Using Skin-Color and Template Gradients for Face Detection[J]. Journal of Applied Sciences, 2004, 22(4): 487-492.

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A Method Using Skin-Color and Template Gradients for Face Detection

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