• DocumentCode
    2799266
  • Title

    Facial expression analysis by using KPCA

  • Author

    Jin, Zhong ; Davoine, Franck ; Lou, Zhen

  • Author_Institution
    Dept. of Comput. Sci., Nanjing Univ. of Sci. & Technol., China
  • Volume
    2
  • fYear
    2003
  • fDate
    8-13 Oct. 2003
  • Firstpage
    736
  • Abstract
    This paper discussed a problem of robustness of existing kernel principal component analysis (KPCA) and proposed a new approach to do facial expression analysis by using KPCA. Experimental results on CMU facial expression image database and Yale database are encouraging.
  • Keywords
    covariance matrices; emotion recognition; face recognition; principal component analysis; Yale database; covariance matrices; facial expression analysis; facial expression image database; kernel PCA; robustness; Computer science; Covariance matrix; Data mining; Humans; Image databases; Independent component analysis; Kernel; Principal component analysis; Robustness; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7925-X
  • Type

    conf

  • DOI
    10.1109/RISSP.2003.1285676
  • Filename
    1285676
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2799266