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    • College of Letters and Science, University of Wisconsin–Madison
    • Department of Computer Sciences, UW-Madison
    • CS Technical Reports
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    Data-Driven Group Animation

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    File(s)
    TR1538.pdf (1.296Mb)
    Date
    2005
    Author
    Lai, Yu-Chi
    Chenney, Stephen
    Fan, Shaohua
    Publisher
    University of Wisconsin-Madison Department of Computer Sciences
    Metadata
    Show full item record
    Abstract
    We introduce Data-Driven Groups (DDGs), an animation technique for groups of discrete agents, such as flocks, herds, or small crowds. DDGs are a natural extension of human motion graphs to groups. They create motion by piecing together a sequence of recorded motion clips. The graph structure identifies clips that can be appended while maintaining continuity in the motion. We discuss a method for building DDGs for discrete agents and algorithms for extracting motion from the graph to meet environment constraints. The resulting animations show realistic motion at significantly reduced computational cost compared to simulation.
    Permanent Link
    http://digital.library.wisc.edu/1793/60460
    Citation
    TR1538
    Part of
    • CS Technical Reports

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