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人脸表情识别概述 被引量:3

Summarization for the facial expression recogniton
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摘要 人脸表情识别是智能化人机交互技术中的一个重要组成部分,现在是越来越受到重视。本文阐述了人脸表情识别的课题背景及其起源、发展与研究现状,并结合国内外相关领域的发展,从特征提取方面对目前表情识别的主流方法做了详细介绍,并提出了人脸表情识别中需要解决的问题。 As an important part of the technology for human computer interaction,facial expression recognition has attracted more and more attention of researchers,the research background of facial expression recognition was introduced,including original research and it's development.And combined with the actuality of this research,we dscribe a survey of facial expression recognition's methods,some questions which need to be resolved about facial expression recognition are put forward.
作者 韦妍
出处 《网络安全技术与应用》 2011年第8期77-79,共3页 Network Security Technology & Application
关键词 人脸表情识别 特征提取 facial expression recognition feature extraction
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  • 1高文.利用线画图象二维串的图象理解方法[J].计算机学报,1996,19(2):110-119. 被引量:1
  • 2[1]Lawrfence R R. A tutorial on hidden markov models and selected application in speech recognition[J]. Proceeding of the IEEE, 1989, 77(2): 257-286
  • 3[2]Ira C. Automatic facial expression recognition from video sequences using temporal Information: [Master Thesis][D].USA: University of Illinois at Urbana-Champaign, Dept.of Electrical Engineering, 2000
  • 4[3]Alexander V L, Mark B. GeneMark.hmm: new solutions for gene finding[J]. Nucleic Acids Research, 1998, 26(4):1 107-1 115
  • 5[4]Otsuka T, Ohya J. Recognizing multiple persons' facial expression using HMM based on automatic extraction of significant frames from image sequences[C]. In: Proc.Int. Conf. on Image Processing(ICIP-97). USA, 1997. 546-549
  • 6[5]XiaoY, Chandrasiri N P, Tadokoro Y M Oda. Recognition of facial expressions using 2D DCT and neural network[J].Electronics and Communications in Japan, 1999, 82(7): 1-11
  • 7WANG J-S, CHIANG J-C. A cluster validity measure with outlier detection for support vector clustering[ J]. IEEE Transactions on Systems, Man, and Cybernetics--Part B, 2008, 38(1): 78 -89.
  • 8HUR A B, HORN D, SIEGELMANN H T, et al. Support vector clustering[ J]. Machine Learning Research, 2001, 2:125 - 137.
  • 9LEE S, DANIELS K. Gaussian kernel width generator for support vector clustering[ C]// Proceedings of the International Conference on Bioinformatics and its Applications. [ S.l. ] : IEEE, 2005:151 - 162.
  • 10KWAK N. Feature extraction for classification problems and its application to face recognition[ J]. Pattern Recognition, 2008, 41 (5) : 1701 - 1717.

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