ADB-Trees: Controlling the Error of Time-Critical Collision Detection
J. Klein, G. Zachmann, in: Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003), 2003, pp. 37–45.
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Conference Paper
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Author
Klein, Jan;
Zachmann, Gabriel
Abstract
We present a novel framework for hierarchical collision detection that can be applied to virtually all bounding volume (BV) hierarchies. It allows an application to trade quality for speed. Our algorithm yields an estimation of the quality, so that applications can specify the desired quality. In a timecritical system, applications can specify the maximum time budget instead, and quantitatively assess the quality of the results returned by the collision detection afterwards.
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Proceedings Title
Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003)
Page
37-45
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Cite this
Klein J, Zachmann G. ADB-Trees: Controlling the Error of Time-Critical Collision Detection. In: Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003). ; 2003:37-45.
Klein, J., & Zachmann, G. (2003). ADB-Trees: Controlling the Error of Time-Critical Collision Detection. In Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003) (pp. 37–45).
@inproceedings{Klein_Zachmann_2003, title={ADB-Trees: Controlling the Error of Time-Critical Collision Detection}, booktitle={Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003)}, author={Klein, Jan and Zachmann, Gabriel}, year={2003}, pages={37–45} }
Klein, Jan, and Gabriel Zachmann. “ADB-Trees: Controlling the Error of Time-Critical Collision Detection.” In Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003), 37–45, 2003.
J. Klein and G. Zachmann, “ADB-Trees: Controlling the Error of Time-Critical Collision Detection,” in Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003), 2003, pp. 37–45.
Klein, Jan, and Gabriel Zachmann. “ADB-Trees: Controlling the Error of Time-Critical Collision Detection.” Proc. 8th International Fall Workshop Vision, Modeling, and Visualization (VMV 2003), 2003, pp. 37–45.
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