Work place: School of Information Science and Engineering, University of Jinan, Jinan, China
E-mail: ise_lijp@ujn.edu.cn
Website:
Research Interests: Computer systems and computational processes, Pattern Recognition, Image Processing
Biography
Jinping Li, born in Jiaozuo, Henan Province, China, in August 1968. In 1997, he received Doctor degree in science in China University of Technology. In the same year, started working as a teacher at School of Information Science and Engineering, University of Jinan.His major is image processing, pattern recognition and optimization. He worked as a visiting scholar at University of Birmingham CERCIA in 2005. He charges Natural Science Foundation of Shandong Province and Doctor Fund of Shandong Province, and he is a member of several 863 Projects and National Natural Science Foundation of China. He has published over 80 papers, and 20 were indexed by SCI/EI.
By Yingjie Xia Yanbin Han Jinping Li Rui Chen
DOI: https://doi.org/10.5815/ijieeb.2010.01.03, Pub. Date: 8 Nov. 2010
Feature matching based on multi-pose faces has become more important in recent years. And it can be used in many fields, such as video monitoring, identity recognition, and so on. In this paper, SIFT algorithm is combined with AdaBoost algorithm, and a method of feature matching based on a multi-pose face is established. Firstly, the face region is extracted from multi-pose face images by AdaBoost. Secondly, SIFT characteristic vectors of the main regions are extracted and matched. The images of the ORL face DB are used in this paper, and some pictures taken in the experiment are used too. The matching results are acceptable and reasonable. Based on multi-pose face, it can be used to research face feature matching, face recognition, video monitoring and 3-D face reconstruction.
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