AAM Based Facial Feature Region Segmentation in Traditional Chinese Medicine Complexion Diagnosis

Author:

Wu Jian Jun1,Yan Jian Jun1,Li Fu Feng2,Wang Yi Qin2,Guo Rui2,Liu Guo Ping2

Affiliation:

1. East China University of Science and Technology

2. Shanghai University of TCM

Abstract

Fast and accurate segmentation of the facial feature regions is of great significance to research on objectification of complexion diagnosis. In this paper, we used the active appearance model (AAM) system to accurately locate 68 key points, and segmented the face region simultaneously. According to the Chinese medicine complexion-viscera principle, five face regions representing the five internal organs were segmented by using 68 key points. Experiments have shown that this method was efficient and fast for facial feature region segmentation, and laid a foundation for further research of objectification of complexion diagnosis.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference5 articles.

1. Hongchao Mao, Dunhua Wu, Changle Zhou: Segmentation of face skin oriented diagnosing in traditional Chinese medicine. Application Research of Computers, Vol. 24 (2007), pp.295-297.

2. Dunhua Wu: Research on several key technologies of diagnostic information of TCM face diagnosis. Xiamen University, (2008).

3. Xin Piao: Research on face segmentation in face diagnosis. Harbin Institute of Technology, (2006).

4. Xing Niu, Zhihong XI, Kaneko MASAHIDE: Face feature points extraction based on refined AAM. Applied Science and Technology, Vol. 38 (2011), pp.35-38.

5. T.F. Cootes, G.J. Edwards, and C.J. Taylor: Active appearance models. IEEE Trans Pattern Recognition and Machine Intelligence, Vol. 23(2001), pp.681-685.

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