Real-time Collision Detection with Two-level Spatial Hashing on GPU

dc.contributor.authorHong, Yangen_US
dc.contributor.authorWu, Wenen_US
dc.contributor.authorChen, Huien_US
dc.contributor.editorJohn Keyser and Young J. Kim and Peter Wonkaen_US
dc.date.accessioned2014-12-16T07:23:04Z
dc.date.available2014-12-16T07:23:04Z
dc.date.issued2014en_US
dc.description.abstractIn this paper, a two-level parallel spatial hashing method is presented for real-time collision detection of deformable objects based on modern GPU architecture. The second-level of spatial hashing is used to improve the culling efficiency. Moreover, a novel encoding method on GPU is proposed to compensate the inflexibility of the GPU memory system. It can efficiently determine the colliding pairs of primitives between deformable objects. The experimental results show that our method can perform high culling efficiency with low memory cost.en_US
dc.description.seriesinformationPacific Graphics Short Papersen_US
dc.identifier.isbn978-3-905674-73-6en_US
dc.identifier.urihttps://doi.org/10.2312/pgs.20141249en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.6 [Computer Graphics]en_US
dc.subjectMethodology and Techniquesen_US
dc.subjectInteraction techniquesen_US
dc.titleReal-time Collision Detection with Two-level Spatial Hashing on GPUen_US
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