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Fast collision detection for deformable models using representative-triangles
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Symposium on Interactive 3D Graphics archive
Proceedings of the 2008 symposium on Interactive 3D graphics and games table of contents
Redwood City, California
SESSION: Physics table of contents
Pages 61-69  
Year of Publication: 2008
ISBN:978-1-59593-983-8
Authors
Sean Curtis  University of North Carolina at Chapel Hill
Rasmus Tamstorf  Walt Disney Animation Studios
Dinesh Manocha  University of North Carolina at Chapel Hill
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a new approach to accelerate collision detection for deformable models. Our formulation applies to all triangulated models and significantly reduces the number of elementary tests between features of the mesh, i.e., vertices, edges and faces. We introduce the notion of Representative-Triangles, standard geometric triangles augmented with mesh feature information and use this representation to achieve better collision query performance. The resulting approach can be combined with bounding volume hierarchies and works well for both inter-object and self-collision detection. We demonstrate the benefit of Representative-Triangles on continuous collision detection for cloth simulation and N-body collision scenarios. We observe up to a one-order of magnitude reduction in feature-pair tests and up to a 5X improvement in query time.


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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Tang, M., Yoon, S., Curtis, S., and Manocha, D. 2007. Interactive continuous collision detection between deformable models using connectivity-based culling. UNC Chapel Hill, Technical Report.
 
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Collaborative Colleagues:
Sean Curtis: colleagues
Rasmus Tamstorf: colleagues
Dinesh Manocha: colleagues