Subtly different facial expression recognition and expression intensity estimation

James Jenn-Jier Lien, Jeffrey F. Cohn, Takeo Kanade, Ching Chung Li

研究成果: Conference contribution

77 引文 斯高帕斯(Scopus)

摘要

We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. Expression classification is based on Facial Action Coding System (FACS) action units (AUs), and discrimination is performed using Hidden Markov Models (HMMs). Three methods are developed to extract facial expression information for automatic recognition. The first method is facial feature point tracking using a coarse-to-fine pyramid method. This method is sensitive to subtle feature motion and is capable of handling large displacements with sub-pixel accuracy. The second method is dense flow tracking together with principal component analysis (PCA), where the entire facial motion information per frame is compressed to a low-dimensional weight vector. The third method is high gradient component (i.e., furrow) analysis in the spatio-temporal domain, which exploits the transient variation associated with the facial expression. Upon extraction of the facial information, non-rigid facial expression is separated from the rigid head motion component, and the face images are automatically aligned and normalized using an affine transformation. This system also provides expression intensity estimation, which has significant effect on the actual meaning of the expression.

原文English
主出版物標題Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
頁面853-859
頁數7
DOIs
出版狀態Published - 1998 十二月 1
事件Proceedings of the 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Santa Barbara, CA, USA
持續時間: 1998 六月 231998 六月 25

出版系列

名字Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN(列印)1063-6919

Other

OtherProceedings of the 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
城市Santa Barbara, CA, USA
期間98-06-2398-06-25

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程
  • 電腦視覺和模式識別
  • 軟體
  • 控制與系統工程

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