Reference TypeConference Proceedings
Citation KeyMauleMaciNede:2010:EfCoDe
Author1 Maule, Marilena
2 Maciel, Anderson
3 Nedel, Luciana
Affiliation1 Universidade Federal do Rio Grande do Sul
2 Universidade Federal do Rio Grande do Sul
3 Universidade Federal do Rio Grande do Sul
TitleEfficient Collision Detection and Physics-based Deformation for Haptic Simulation with Local Spherical Hash
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
EditorBellon, Olga
Esperanša, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
KeywordsGPGPU, physics-based animation, medical simulation, computer animation.
AbstractWhile real time computer graphics rely on a frame rate of 30 iterations per second to fool the eye and render smooth motion transitions, computer haptics deals with the sense of touch, which requires a higher rate of around 1kHz to avoid discontinuities. The use of haptics on interactive applications as surgical simulations or games, for instance, can highly improve the user experience, and the sense of presence. However, its use in complex simulations involving realistic rendering, deformable objects and collision detection requires the development of very performing algorithms. This paper presents an implementation of mass-spring system adapted to CUDA implementation, and a novel method for collision detection in haptic update rate. Important aspects of the port to parallel programming and the GPU architecture are addressed, as for example, strategy and frequency of memory access. A quantitative experiment is also.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size2230 KiB
Number of Files1
Target FileLSH.pdf
Last Update2010:
Metadata Last Update2010: {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Content TypeExternal Contribution
source Directory Contentthere are no files
agreement Directory Contentthere are no files
History2010-10-01 04:19:38 :: -> :: 2010
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Access Date2020, Nov. 27