Motion graphs

  • Authors:
  • Lucas Kovar;Michael Gleicher;Frédéric Pighin

  • Affiliations:
  • University of Wisconsin-Madison;University of Wisconsin-Madison;University of Southern California

  • Venue:
  • ACM SIGGRAPH 2008 classes
  • Year:
  • 2008

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Abstract

In this paper we present a novel method for creating realistic, controllable motion. Given a corpus of motion capture data, we automatically construct a directed graph called a motion graph that encapsulates connections among the database. The motion graph consists both of pieces of original motion and automatically generated transitions. Motion can be generated simply by building walks on the graph. We present a general framework for extracting particular graph walks that meet a user's specifications. We then show how this framework can be applied to the specific problem of generating different styles of locomotion along arbitrary paths.