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  • 标题:A Comprehensive Study of Major Techniques of Facial Expression Recognition
  • 本地全文:下载
  • 作者:Tanvi Sheikh ; Shikha Agrawal
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2012
  • 卷号:1
  • 期号:8
  • 页码:352-356
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Facial Expression Recognition is one of thechallenging and active research topic in the recent years. FacialExpression Recognition System comprises the detection of face,facial feature extraction and classification of facial expressionfrom still images. This paper summarizes the major techniquesto recognize the facial expressions from still images. Thetechniques included in this paper are Principal ComponentAnalysis, Singular Value Decomposition, Neural Network,Cloud Model, Fuzzy Model and K-Means ClusteringAlgorithm. The performance of these techniques is good enoughand almost effective also except fuzzy model. Fuzzy model doesnot classify the expressions exactly. The main purpose of thisresearch work is to present the major techniques of automaticfacial expression recognition in a single view.
  • 关键词:Facial expression recognition; K-Means;Algorithm; Principal Component Analysis (PCA); Singular;Value Decomposition (SVD) etc.
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