Abstract：A human face detection & recognition system on color image sires is implemented in this paper.The key technologies involved are skin hue analysis,motion analysis,primary component analysis (PCA) and support vector machine.The human faces can be detected through their hue,motion,geometry and grayscale distribution features.PCA analysis can be done through the relation between face patterns,and then the features can be extracted and selected.Using the selected features to train multiple SVMs,which can finally classify human faces.The system structure is according to the following principle:Firstly simple methods are used to reduce the search space,and then more complicated methods are used in the reduced space.So the system can have a quick response speed as well as holding high detection and recognition rate.
凌旭峰;杨 杰;叶晨洲. 彩色序列图像的人脸检测和识别系统[J]. 电子学报, 2003, 31(4): 544-547.
LING Xu-feng;YANG Jie;YE Chen-zhou. Face Detection and Recognition System in Color Image Series. Chinese Journal of Electronics, 2003, 31(4): 544-547.
2003, Vol. 31 
