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A voxel-based parallel collision detection algorithm
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Source International Conference on Supercomputing archive
Proceedings of the 16th international conference on Supercomputing table of contents
New York, New York, USA
SESSION: Applications table of contents
Pages: 285 - 293  
Year of Publication: 2002
ISBN:1-58113-483-5
Authors
Orion Sky Lawlor  University of Illinois at Urbana-Champaign
Laxmikant V. Kalée  University of Illinois at Urbana-Champaign
Sponsor
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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ABSTRACT

Two physical objects cannot occupy the same space at the same time. Simulated physical objects do not naturally obey this constraint. Instead, we must detect when two objects have collided---we must perform collision detection. This work presents a simple voxel-based collision detection algorithm, an efficient parallel implementation of the algorithm, and performance results.


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:
Orion Sky Lawlor: colleagues
Laxmikant V. Kalée: colleagues