• DocumentCode
    2730457
  • Title

    Facial Expression Recognition: A Fully Integrated Approach

  • Author

    Valenti, Roberto ; Sebe, Nicu ; Gevers, Theo

  • Author_Institution
    Univ. of Amsterdam, Amsterdam
  • fYear
    2007
  • fDate
    10-13 Sept. 2007
  • Firstpage
    125
  • Lastpage
    130
  • Abstract
    The most expressive way humans display emotions is through facial expressions. Humans detect and interpret faces and facial expressions in a scene with little or no effort. Still, development of an automated system that accomplishes this task is rather difficult. There are several related problems: detection of an image segment as a face, facial features extraction and tracking, extraction of the facial expression information, and classification of the expression (e.g., in emotion categories). In this paper, we present our fully integrated system which performs these operations accurately and in real time and represents a major step forward in our aim of achieving a humanlike interaction between the man and machine.
  • Keywords
    emotion recognition; face recognition; feature extraction; image classification; image segmentation; automated system; expression classification; facial expression information; facial expression recognition; facial features extraction; image segmentation; Face recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing Workshops, 2007. ICIAPW 2007. 14th International Conference on
  • Conference_Location
    Modena
  • Print_ISBN
    978-0-7695-2921-9
  • Type

    conf

  • DOI
    10.1109/ICIAPW.2007.25
  • Filename
    4427488