A model of facial behaviour

F. Bettinger, T. F. Cootes

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We wish to model the way in which faces move in video sequences. We represent facial behaviour as a sequence of short actions. Each action is a sample from a statistical model representing the variability in the way it is performed. The ordering of actions is defined using a variable length Markov model. Action models and variable length Markov model are trained from a long (20000 frames) video sequence of a talking face. We propose a novel method of quantitatively evaluating the quality of the synthesis by measuring overlaps of parameter histograms. We apply this method to compare our technique with an alternative model that uses an autoregressive process.
    Original languageEnglish
    Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition|Proc. Sixth IEEE Int. Conf. Autom. Face Gest. Recogn.
    PublisherIEEE Computer Society
    Pages123-128
    Number of pages5
    ISBN (Print)0769521223, 9780769521220
    DOIs
    Publication statusPublished - 2004
    EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul
    Duration: 1 Jul 2004 → …

    Conference

    ConferenceProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
    CitySeoul
    Period1/07/04 → …

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