Collision Detection for Deformable Objects

Abstract : Interactive environments for dynamically deforming objects play an important role in surgery simulation and entertainment technology. These environments require fast deformable models and very efficient collision handling techniques. While collision detection for rigid bodies is well-investigated, collision detection for deformable objects introduces additional challenging problems. This paper focuses on these aspects and summarizes recent research in the area of deformable collision detection. Various approaches based on bounding volume hierarchies, distance fields, and spatial partitioning are discussed. Further, image-space techniques and stochastic methods are considered. Applications in cloth modeling and surgical simulation are presented.
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https://hal.inria.fr/inria-00539916
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Submitted on : Thursday, November 25, 2010 - 3:17:04 PM
Last modification on : Tuesday, March 5, 2019 - 9:30:10 AM
Long-term archiving on : Saturday, February 26, 2011 - 3:00:28 AM

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Matthias Teschner, Stefan Kimmerle, Bruno Heidelberger, Gabriel Zachmann, Laks Raghupathi, et al.. Collision Detection for Deformable Objects. Eurographics State-of-the-Art Report (EG-STAR), Aug 2004, Grenoble, France. ⟨inria-00539916⟩

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