Collision Detection for Deformable Objects

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Collision Detection for Deformable Objects

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by M. Teschner , S. Kimmerle , B. Heidelberger , G. Zachmann , L. Raghupathi , A. Fuhrmann , M.-p. Cani , F. Faure , N. Magnenat-thalmann , W. Strasser , P. Volino

Citations:

119 - 19 self

BibTeX

@MISC{Teschner_collisiondetection,
    author = {M. Teschner and S. Kimmerle and B. Heidelberger and G. Zachmann and L. Raghupathi and A. Fuhrmann and M.-p. Cani and F. Faure and N. Magnenat-thalmann and W. Strasser and P. Volino},
    title = { Collision Detection for Deformable Objects},
    year = {}
}

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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.

Keyphrases

collision detection deformable object interactive environment important role efficient collision deformable collision detection various approach rigid body bounding volume hierarchy distance field surgical simulation stochastic method entertainment technology summarizes recent research fast deformable model cloth modeling surgery simulation spatial partitioning image-space technique

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