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• W1552173716 abstract "This paper gives a survey of techniques for tissue interaction and discusses their application in the context of the intra-ocular training system EyeSi. As key interaction techniques collision detection and soft tissue modeling are identified. For collision detection in EyeSi, an enhanced image-based approach for collisions between deformable surfaces and rigid objects is presented. By exploiting the computing power of graphics processing units, it achieves higher performance than existing geometry-based approaches. Deformation vectors are computed and used for the biomechanical model. A mass-spring approach is shown to be powerful enough to bridge the gap between low computational demands and a convincing tissue behavior." @default.
• W1552173716 created "2016-06-24" @default.
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• W1552173716 date "2002-05-30" @default.
• W1552173716 modified "2023-09-23" @default.
• W1552173716 title "Collision detection and tissue modeling in a VR-simulator for eye surgery" @default.
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• W1552173716 doi "https://doi.org/10.5555/509709.509715" @default.
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