Name
Abstract | ||
|---|---|---|
We present an incremental collision handling algorithm for GPU-based interactive cloth simulation. Our approach exploits the spatial and temporal coherence between successive iterations of an optimization-based solver for collision response computation. We present an incremental continuous collision detection algorithm that keeps track of deforming vertices and combine it with spatial hashing. We use a non-linear GPU-based impact zone solver to resolve the penetrations. We combine our collision handling algorithm with implicit integration to use large time steps. Our overall algorithm, I-Cloth, can simulate complex cloth deformation with a few hundred thousand vertices at 2 - 8 frames per second on a commodity GPU. We highlight its performance on different benchmarks and observe up to 7 - 10X speedup over prior algorithms.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3272127.3275005 | ACM Trans. Graph. |
Keywords | Field | DocType |
cloth simulation, collision handling, gpu, impact zone | Computer vision,Collision detection,Parallel computing,Collision,Frame rate,Artificial intelligence,Hash function,Solver,Collision response,Mathematics,Computation,Speedup | Journal |
Volume | Issue | ISSN |
37 | 6 | 0730-0301 |
Citations | PageRank | References |
5 | 0.40 | 30 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Tang | 1 | 623 | 51.33 |
| Tongtong Wang | 2 | 16 | 6.10 |
| Zhongyuan Liu | 3 | 6 | 0.74 |
| Ruofeng Tong | 4 | 466 | 49.69 |
| Dinesh Manocha | 5 | 9551 | 787.40 |