Collision Detection for Continuously Deforming Bodies

Thomas Larsson, Tomas Akenine-Möller

Forskningsoutput: KonferensbidragKonferenspaper, ej i proceeding/ej förlagsutgivetPeer review

Sammanfattning

Fast and accurate collision detection between geometric bodies is essential in application areas like virtual reality, animation, simulation, games and robotics. In this work, we address the collision detection problem in applications where deformable bodies are used, which change their overall shape every time step of the simulation. We propose and evaluate suitable bounding volume trees for deforming bodies that can be pre-built and then updated very efficiently during simulation. Several heuristics for updating the trees due to deformations are compared to each other. By combining a top-down and a bottom-up update strategy into a hybrid tree update method, promising results were achieved. Experiments show that our approach is four to five times faster than a previously leading method.
Originalspråkengelska
Sidor325-333
StatusPublished - 2001
EvenemangEurographics Conference, 2001 - Manchester, Storbritannien
Varaktighet: 2001 sep. 42001 sep. 7

Konferens

KonferensEurographics Conference, 2001
Land/TerritoriumStorbritannien
OrtManchester
Period2001/09/042001/09/07

Ämnesklassifikation (UKÄ)

  • Datavetenskap (datalogi)

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