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Min.Wang

Work place: The School of Information and Control Engineering Xi’an University of Architecture & Technology Xi’an, China

E-mail: wangmin1329@163.com

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Research Interests: Computer Science & Information Technology, Information Systems, Information Retrieval, Multimedia Information System

Biography

Min.Wang was born in Chang Zhou city of Jiang Su province in Oct, 1959. He obtained a B.S.degree of communication engineering in the Department of The School of Information and Control Engineering, Xi’an University of Architecture & Technology, China in June 1982. 
He worked at iron and steel company in Tai Yuan in 1975. He is currently an associate director of communication engineering scientific research center in the Department of The School of Information and Control Engineering, Xi’an University of Architecture & Technology. He has published over 30 papers in peer-reviewed journals and conferences. His current research interest focuses on multimedia communication, digital homestead and digital amusement, intelligent information processing.
Prof.Wang is currently a member of Chinese Association of Automation. He was also a member of Image and Graphic Academy of Shan’Xi.

Author Articles
An Improved Active Shape Model Application onFacial Feature Localization

By Min.Wang Yi ling.Wen Li.Fang Wei ping.Sun

DOI: https://doi.org/10.5815/ijitcs.2010.01.01, Pub. Date: 8 Nov. 2010

An improved active shape model is proposed in this paper. The proposed algorithm includes the following four aspects. Firstly, this paper adopts a semi-automatic facial feature points marking tool. Secondly, this paper proposes to extract 2D gradient feature on the highest level and the higher level of multi-resolution pyramid images, and use Gabor wavelet transformation to extract the lowest level’s 2D texture feature. Thirdly, this paper adopts a new method of decomposition of multi-resolution pyramid. Pyramid images are got by wavelet transformation. Finally, this paper uses an improved searching scheme of multiresolution pyramid. The length of 2D profile searching rectangle is changed according to different pyramid levels. Experimental results demonstrate that the proposed algorithm exhibits better performance than the original ASM.

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