Collision Detection between a Complex Solid and a Particle Cloud assisted by Programmable GPU

dc.contributor.authorJiménez, Juan J.en_US
dc.contributor.authorOgáyar, Carlos J.en_US
dc.contributor.authorSegura, Rafael J.en_US
dc.contributor.authorFeito, Francisco R.en_US
dc.contributor.editorCesar Mendoza and Isabel Navazoen_US
dc.date.accessioned2014-02-01T06:53:29Z
dc.date.available2014-02-01T06:53:29Z
dc.date.issued2006en_US
dc.description.abstractIn this work the problem of collision detection (CD) between a Complex Solid and a Particle cloud with autonomous movement is studied. In order to do this, some algorithms and data have been adapted to suit new extensions of the new generations of programmable graphics cards. These types of graphics cards allow more flexible programming in order to solve problems not-related to visualization process. We use a representation based on simplicial coverings as well as a structure named Tetra-Tree in order to represent and classify the simplices of complex objects. With this type of representation the operations carried out in CD are more robust and efficient than those used in classic algorithms, so it is not necessary to decompose the complex object into more simple pieces. We also propose some implementation alternatives and give a study of their performance.en_US
dc.description.seriesinformationVriphys: 3rd Workshop in Virtual Realitiy, Interactions, and Physical Simulationen_US
dc.identifier.isbn3-905673-61-4en_US
dc.identifier.urihttps://doi.org/10.2312/PE/vriphys/vriphys06/043-052en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Geometric algorithms, languages and systems; Curve, surface, solid, and object representations. I.3.6 [Computer Graphics]: Methodology and Techniques; Graphics data structures and data types.en_US
dc.titleCollision Detection between a Complex Solid and a Particle Cloud assisted by Programmable GPUen_US
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