- 期刊
- OpenAccess
GPU-based Collision Detection and Response for Particles on 3D Models
摘要
This paper presents a GPU-based approach to handle collision detection and response for particles on 3D models. Signed Hausdorff distance fields were used and stored in volume textures. The voxels in a distance field stored the Hausdorff distance to the 3D model and the normal of the corresponding nearest surface. Object-based collision detection and response were processed using a pixel shader with texture sampling on the Hausdorff distance field. Particles were updated by rendering them using programmable graphics hardware acceleration. No data had to be transferred to the CPU between frames. The power of parallel GPU computation made the simulation of the particle system on a GPU at least twice as fast as that on a CPU.
延伸閱讀
- 葉喬之（2012）。Continuous Self-Collision Detection for Deformable Objects Based on Charge Distribution〔碩士論文，國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2012.00707
- Cheng, Y. C. (2011). View-based Continuous Self-Collision Detection with Graphics Hardware Acceleration [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2011.00534
- Chen, Y. C., Chiu, S. J., Chen, H. T., & Chang, C. F. (2008). Physically-Based Analysis and Rendering of Bidirectional Texture Functions Data. Journal of Information Science and Engineering, 24(1), 83-98. https://doi.org/10.6688/JISE.2008.24.1.6
- Wu, C. T. (2019). Effective Parallelization on Particle Code in GPUs for 3D Incompressible Viscous Flow Equations [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201904408
- 高全成（2006）。Visual Effects and Collision Detection for A Virtual Environment〔碩士論文，國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917341626