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面部表情特征抽取的研究进展
引用本文:章品正,王征,赵宏玉. 面部表情特征抽取的研究进展[J]. 计算机工程与应用, 2006, 42(9): 38-41,66
作者姓名:章品正  王征  赵宏玉
作者单位:东南大学计算机科学与工程系影像科学与技术实验室,南京,210096;东南大学计算机科学与工程系影像科学与技术实验室,南京,210096;东南大学计算机科学与工程系影像科学与技术实验室,南京,210096
摘    要:面部表情特征抽取的针对性和鲁棒性在计算机辅助面部表情自动分析系统中具有举足轻重的作用。论文从五个方面综述了近年来面部表情特征抽取的研究进展并力争从理论上对各种方法进行分析和比较。最后讨论了进一步提高面部表情特征抽取可靠性的几个重要方面,进而展望了面部表情特征抽取技术的发展方向。

关 键 词:面部表情特征  启发性方法  变换域
文章编号:1002-8331-(2006)09-0038-04
收稿时间:2005-07-01
修稿时间:2005-07-01

Research Advances of Facial Expression Feature Extraction
Zhang Pinzheng,Wang Zheng,Zhao Hongyu. Research Advances of Facial Expression Feature Extraction[J]. Computer Engineering and Applications, 2006, 42(9): 38-41,66
Authors:Zhang Pinzheng  Wang Zheng  Zhao Hongyu
Affiliation:Lab of Image Science and Technology,Department of Computer Science and Engineering, Southeast University,Nanjing 210096
Abstract:Robust facial expression feature extraction method is the key part of the computer aided racial expression analysis system.Five primary kinds of facial expression feature detection methods have been surveyed in this paper. Except reviewing the research and development of the facial expression feature extraction methods,we also have described them in theory.Finally,we have discussed some key factors in robustly extract facial expression feature and considered several future development directions in this area.
Keywords:facial expression feature   heuristic method  transform field
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