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

Jian Jun  Wu; Jian Jun  Yan; Fu Feng Li; Yi Qin  Wang; Rui  Guo; Guo Ping Liu

doi:10.4028/www.scientific.net/AMR.790.535

Paper Titles

Public Bicycle System Station Deployment and Scale Prediction
p.510

Research on the Critical Attributes of Travel Mode Choice Utility Function
p.515

Effect of Three Major Polyphenols in Red Wine on Sodium Channel Current in Mouse Dorsal Root Ganglia Cells
p.525

Determination of the Content of Imperatorin in Radix Angelicae Dahuricae and Evaluation of the Measurement Uncertainty in Using High Efficiency Liquid Chromatography
p.530

AAM Based Facial Feature Region Segmentation in Traditional Chinese Medicine Complexion Diagnosis
p.535

Effects of Solvents and Extraction Methods to Extraction of Fructus Leonuri
p.539

Study of SMA as Protective Colloid on the MF-Resin Micro-Encapsulation
p.542

Diatom Distributions in the Eastern Yangtze River and the Main Lakes, Jiangsu Province, China, and their Significance for the Forensic Diagnosis of Drowning
p.546

Biological Effects of p53 Mutation W248 and H175 on MCF-7 Cells
p.550

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 790AAM Based Facial Feature Region Segmentation in...

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

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.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 790)

Pages:

535-538

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.790.535

Citation:

Cite this paper

Online since:

September 2013

Authors:

Jian Jun Wu, Jian Jun Yan, Fu Feng Li, Yi Qin Wang, Rui Guo, Guo Ping Liu

Keywords:

Active Appearance Model, Complexion Diagnosis, Region Segmentation, Traditional Chinese Medicine

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[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.

Google Scholar

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

Google Scholar

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

Google Scholar

[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.

Google Scholar

[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.

DOI: 10.1109/34.927467

Google Scholar