A collision detection framework for deformable objects
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | ACM Symposium on Virtual Reality Software and Technology, Proceedings, VRST |
| Pages | 113-120 |
| Publication status | Published - 2002 |
Conference
| Title | Proceedings of the ACM Symposium on Virtual Reality Software and Technology |
|---|---|
| Place | China |
| City | Hong Kong |
| Period | 11 - 13 November 2002 |
Link(s)
Abstract
Many collision detection methods have been proposed. Most of them can only be applied to rigid objects. In general, these methods precompute some geometric information of each object, such as bounding boxes, to be used for run-time collision detection. However, if the object deforms, the precomputed information may not be valid anymore and hence needs to be recomputed in every frame while the object is deforming. In this paper, we presents an efficient collision detection framework for deformable objects, which considers both inter-collisions and self-collisions of deformable objects modeled by NURBS surfaces. Towards the end of the paper, we show some experimental results to demonstrate the performance of the new method.
Research Area(s)
- Collision detection, Deformable objects, Interference detection, NURBS surfaces
Citation Format(s)
A collision detection framework for deformable objects. / Lau, Rynson W.H.; Luk, Mo; Chan, Oliver et al.
ACM Symposium on Virtual Reality Software and Technology, Proceedings, VRST. 2002. p. 113-120.
ACM Symposium on Virtual Reality Software and Technology, Proceedings, VRST. 2002. p. 113-120.
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
