Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example patterns

Martin A. Giese, Barbara Knappmeyer, Heinrich H. Bülthoff

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

    7 Citations (Scopus)

    Abstract

    We present a method for the synthesis of sequences of realistically looking human movements from learned example patterns. We apply this technique for the synthesis of dynamic facial expressions. Sequences of facial movements are decomposed into individual movement elements which are modeled by linear combinations of learned examples. The weights of the linear combinations define an abstract pattern space that permits a simple modification and parameterization of the style of the individual movement elements. The elements are defined in a way that is suitable for a simple automatic resynthesis of longer sequences from movement elements with different styles. We demonstrate the efficiency of this technique for the animation of a 3D head model and discuss how it can be used to generate spatio-temporally exaggerated sequences of facial expressions for psychophysical experiments on caricature effects.

    Original languageEnglish
    Title of host publicationBiologically Motivated Computer Vision - 2nd International Workshop, BMCV 2002, Proceedings
    EditorsHeinrich H. Bulthoff, Christian Wallraven, Seong-Whan Lee, Tomaso A. Poggio
    PublisherSpringer Verlag
    Pages538-547
    Number of pages10
    ISBN (Electronic)9783540001744
    DOIs
    Publication statusPublished - 2002
    Event2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002 - Tubingen, Germany
    Duration: 2002 Nov 222002 Nov 24

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2525
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002
    Country/TerritoryGermany
    CityTubingen
    Period02/11/2202/11/24

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 2002.

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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