articleAug 11, 2008Closed access

Motion graphs

University of Wisconsin–Madison · University of Southern California · +1 more institution

Indexed incrossref

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.

Citation impact

1,068
total citations
FWCI
236.78
Percentile
100%
References
32
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Graph
  • Motion (physics)
  • Theoretical computer science
  • Construct (python library)
  • Artificial intelligence
  • Algorithm
  • Computer vision
UN Sustainable Development Goals
  • Sustainable cities and communities
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Funding