Collision-streams: fast GPU-based collision detection for deformable models
Min Tang, Dinesh Manocha, Jiang Lin, Ruofeng Tong
Symposium on Interactive 3D Graphics and Games, February 2011, pp. 63--70.
Abstract: We present a fast GPU-based streaming algorithm to perform collision queries between deformable models. Our approach is based on hierarchical culling and reduces the computation to generating different streams. We present a novel stream registration method to compact the streams and efficiently compute the potentially colliding pairs of primitives. We also use a deferred front tracking method to lower the memory overhead. The overall algorithm has been implemented on different GPUs and we have evaluated its performance on non-rigid and deformable simulations. We highlight our speedups over prior CPU-based and GPU-based algorithms. In practice, our algorithm can perform inter-object and intra-object computations on models composed of hundreds of thousands of triangles in tens of milliseconds.
Article URL: http://dx.doi.org/10.1145/1944745.1944756
BibTeX format:
@inproceedings{Tang:2011:CFG,
  author = {Min Tang and Dinesh Manocha and Jiang Lin and Ruofeng Tong},
  title = {Collision-streams: fast GPU-based collision detection for deformable models},
  booktitle = {Symposium on Interactive 3D Graphics and Games},
  pages = {63--70},
  month = feb,
  year = {2011},
}
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