• DocumentCode
    2473990
  • Title

    A study of non-frontal-view facial expressions recognition

  • Author

    Hu, Yuxiao ; Zeng, Zhihong ; Yin, Lijun ; Wei, Xiaozhou ; Tu, Jilin ; Huang, Thomas S.

  • Author_Institution
    Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The existing methods of facial expression recognition are typically based on the near-frontal face data. The analysis of non-frontal-view facial expression is a largely unexplored research. The accessibility to a recent 3D facial expression database (BU-3DFE database) motivates us to explore an interesting question: whether non-frontal-view facial expression analysis can achieve the same as or better performance than the existing frontal-view facial expression method. Our extensive recognition experiments on data of 100 subjects with 5 yaw rotation view angles suggests that the non-frontal-view facial expression classification can outperform frontal-view facial expression recognition, given the manually labeled facial key points.
  • Keywords
    emotion recognition; face recognition; image classification; 3D facial expression database; nonfrontal-view facial expression classification; nonfrontal-view facial expression recognition; Data analysis; Displays; Emotion recognition; Face recognition; Humans; Machine intelligence; Performance analysis; Prototypes; Psychology; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761052
  • Filename
    4761052