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- W2021265848 abstract "Modeling the natural interaction of cloth and garments with objects in a 3D environment is currently one of the most computationally demanding tasks. These highly deformable materials are subject to a very large number of contact points in the proximity of other moving objects. Furthermore, cloth objects often fold, roll, and drape within themselves, generating a large number of self-collision areas. The interactive requirements of 3D games and physically driven virtual environments make the cloth collisions and self-collision computations more challenging. By exploiting mathematically well-defined smoothness conditions over smaller patches of deformable surfaces and resorting to image-based collision detection tests, we developed an efficient collision detection method that achieves interactive rates while tracking self-interactions in highly deformable surfaces consisting of a large number of elements. The method makes use of a novel technique for dynamically generating a hierarchy of cloth bounding boxes in order to perform object-level culling and image-based intersection tests using conventional graphics hardware support. An efficient backward voxel-based AABB hierarchy method is proposed to handle deformable surfaces which are highly compressed." @default.
- W2021265848 created "2016-06-24" @default.
- W2021265848 creator A5002562865 @default.
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- W2021265848 date "2004-11-01" @default.
- W2021265848 modified "2023-10-17" @default.
- W2021265848 title "Image-based collision detection for deformable cloth models" @default.
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- W2021265848 doi "https://doi.org/10.1109/tvcg.2004.44" @default.
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