Multi-view Face Detection and Pose Estimation
نویسندگان
چکیده
We represent an appearance-based technique for detecting multi-view faces. Multi-view face detection has been a challenging problem. It is due to the fact that the distribution of multi-view faces in the feature space is more dispersed and more complicated than that of frontal-view faces. Our system can detect faces under any degrees of pan rotation. This system is composed of two subsystems. One is the facial pose estimation subsystem. The testing window is projected onto the pose eigenspace, and then the pan rotation angle of the face is estimated. According to the rotation angle, a corresponding face /nonface classifier, which decides whether or not the window contains a face, will be selected.
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تاریخ انتشار 2005