Collision Detection for Deformable Objects
| dc.contributor.author | Teschner, M. | en_US |
| dc.contributor.author | Kimmerle, S. | en_US |
| dc.contributor.author | Heidelberger, B. | en_US |
| dc.contributor.author | Zachmann, G. | en_US |
| dc.contributor.author | Raghupathi, L. | en_US |
| dc.contributor.author | Fuhrmann, A. | en_US |
| dc.contributor.author | Cani, M.-P. | en_US |
| dc.contributor.author | Faure, F. | en_US |
| dc.contributor.author | Magnenat-Thalmann, N. | en_US |
| dc.contributor.author | Strasser, W. | en_US |
| dc.contributor.author | Volino, P. | en_US |
| dc.date.accessioned | 2015-11-12T08:10:43Z | |
| dc.date.available | 2015-11-12T08:10:43Z | |
| dc.date.issued | 2004 | en_US |
| dc.description.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 focusses 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. | en_US |
| dc.description.seriesinformation | Eurographics 2004 - STARs | en_US |
| dc.identifier.issn | 1017-4656 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/egst.20041028 | en_US |
| dc.publisher | Eurographics Association | en_US |
| dc.title | Collision Detection for Deformable Objects | en_US |
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