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Motion graphs
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ACM SIGGRAPH 2008 classes table of contents
Los Angeles, California
SESSION: SIGGRAPH Core: Motion planning and autonomy for virtual humans table of contents
Article No. 51  
Year of Publication: 2008
Authors
Lucas Kovar  University of Wisconsin-Madison
Michael Gleicher  University of Wisconsin-Madison
Frédéric Pighin  University of Southern California
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 44,   Downloads (12 Months): 263,   Citation Count: 2
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Bowden, R. 2000. Learning statistical models of human motion. In IEEE Workshop on Human Modelling, Analysis, and Synthesis, CVPR 2000, IEEE Computer Society.
 
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Kovar, L., Gleicher, M., and Schreiner, J. 2002. Footskate cleanup for motion capture editing. Tech. rep., University of Wisconsin, Madison.
 
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Lee, J. 2000. A hierarchical approach to motion analysis and synthesis for articulated figures. PhD thesis, Department of Computer Science, Korea Advanced Institute of Science and Technology.
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Mizuguchi, M., Buchanan, J., and Calvert, T. 2001. Data driven motion transitions for interactive games. In Eurographics 2001 Short Presentations.
 
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Multon, F., France, L., Cani, M.-P., and Debunne, G. 1999. Computer animation of human walking: a survey. The Journal of Visualization and Computer Animation 10, 39--54. Published under the name Marie-Paule Cani-Gascuel.
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Washburn, D. 2001. The quest for pure motion capture. Game Developer (December).
 
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Collaborative Colleagues:
Lucas Kovar: colleagues
Michael Gleicher: colleagues
Frédéric Pighin: colleagues