• DocumentCode
    3186554
  • Title

    Veering around the Uncanny Valley: Revealing the underlying structure of facial expressions

  • Author

    Mones, Barbara ; Friedman, Stephen

  • Author_Institution
    Comput. Sci. & Eng., Univ. of Washington, Seattle, WA, USA
  • fYear
    2011
  • fDate
    21-25 March 2011
  • Firstpage
    345
  • Lastpage
    345
  • Abstract
    Summary form only given: When designing both realistic and stylized virtual characters, it is critical to avoid the Uncanny Valley so that visual communication can be consistent, compelling and believable. The human ability to recognize and interpret facial expression as emotion is one of our most sophisticated and innate perceptual skills. This skill is so critical to our life as social creatures that there seem to be multiple neural paths for analyzing faces, a “fine mesh” system for analyzing realistic faces, and a “coarse mesh” system for interpreting human faces seen under difficult viewing conditions, or stylized faces. The fine mesh system relies primarily on analyzing tiny deflections from precise facial norms, while the coarse mesh seems to use pattern recognition rather than position mapping. Certain patterns seem to “trigger” recognition that a certain expression is present.
  • Keywords
    character recognition; emotion recognition; face recognition; virtual reality; Amazon mechanical turk; animated character; coarse mesh trigger detection; computer workstation; expression vocabulary; facial expression; human face analysis; human perception; multiple neural paths; pattern recognition; position mapping; social creature; stylized character; trigger recognition; uncanny valley; virtual characters; visual communication; Computer science; Face recognition; Facial animation; Humans; Visual communication; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    978-1-4244-9140-7
  • Type

    conf

  • DOI
    10.1109/FG.2011.5771423
  • Filename
    5771423