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Evidential reasoning for facial gestures recognition from cartoon images

  • Horace H S Ip
  • , Richard C K Chiu

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    A new approach for facial gesture analysis is proposed using evidential reasoning. The six universal expressions, anger, disgust, fear, happiness, sadness, and surprise, are encoded using a selected and modified subset of the FACS code. Cartoon drawings for the different expressions are used to get feature vectors to be used for recognition. The Dempster-Shafer theory of evidential reasoning is applied to combine evidence represented by the facial features. The study demonstrates the feasibility of applying the Dempster-Shafer theory to facial gesture recognition.
    Original languageEnglish
    Title of host publicationAustralian and New Zealand Conference on Intelligent Information Systems - Proceedings
    Pages397-401
    Publication statusPublished - 1994
    EventProceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems - Brisbane, Aust
    Duration: 29 Nov 19942 Dec 1994

    Conference

    ConferenceProceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems
    CityBrisbane, Aust
    Period29/11/942/12/94

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