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Group motion graphs
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Source Symposium on Computer Animation archive
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
Los Angeles, California
SESSION: Motion planning and crowds table of contents
Pages: 281 - 290  
Year of Publication: 2005
ISBN:1-7695-2270-X
Authors
Yu-Chi Lai  University of Wisconsin, Madison
Stephen Chenney  University of Wisconsin, Madison
ShaoHua Fan  University of Wisconsin, Madison
Sponsors
Eurographics: Eurographics Association
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 16,   Downloads (12 Months): 82,   Citation Count: 7
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ABSTRACT

We introduce Group Motion Graphs, a data-driven animation technique for groups of discrete agents, such as flocks, herds, or small crowds. Group Motion Graphs are conceptually similar to motion graphs constructed from motion-capture data, but have some important differences: we assume simulated motion; transition nodes are found by clustering group configurations from the input simulations: and clips to join transitions are explicitly constructed via constrained simulation. Graphs built this way offer known bounds on the trajectories that they generate, making it easier to search for particular output motions. The resulting animations show realistic motion at significantly reduced computational cost compared to simulation, and improved control.


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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Collaborative Colleagues:
Yu-Chi Lai: colleagues
Stephen Chenney: colleagues
ShaoHua Fan: colleagues