Robust Facial Feature Location on Gray Intensity Face

Authors:
Qiong Wang;Chunxia Zhao;Jingyu Yang
Affiliations:
School of Computer Science and Technology, Nanjing University of Science and Technology, Email: nustdaisy@gmail.com, Nanjing, China;School of Computer Science and Technology, Nanjing University of Science and Technology, Email: nustdaisy@gmail.com, Nanjing, China;School of Computer Science and Technology, Nanjing University of Science and Technology, Email: nustdaisy@gmail.com, Nanjing, China
Venue:
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Year:
2009

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Abstract

In this paper, we propose an efficient algorithm for facial feature location on gray intensity face. Complex regions in a face image, such as the eye, exhibit unpredictable local intensity and hence high entropy. We use this characteristic to obtain eye candidates, and then these candidates are sent to a classifier to get real eyes. According to the geometry relationship of human face, mouth search region is specified by the coordinates of the left eye and the right eye. And then precise mouth detection is done. Experimental results demonstrate the effectiveness of the proposed method.