Collision Detection and Tissue Modeling in a VR-Simulator for Eye Surgery

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dc.contributor.authorWagner, Clemensen_US
dc.contributor.authorSchill, Markus A.en_US
dc.contributor.authorMänner, Reinharden_US
dc.contributor.editorS. Mueller and W. Stuerzlingeren_US
dc.date.accessioned2014-01-27T10:15:23Z
dc.date.available2014-01-27T10:15:23Z
dc.date.issued2002en_US
dc.description.abstractThis 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.en_US
dc.description.seriesinformationEurographics Workshop on Virtual Environmentsen_US
dc.identifier.isbn1-58113-535-1en_US
dc.identifier.issn1727-530Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGVE/EGVE02/027-036en_US
dc.publisherThe Eurographics Associationen_US
dc.titleCollision Detection and Tissue Modeling in a VR-Simulator for Eye Surgeryen_US
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EGVE02: Eighth Eurographics Workshop on Virtual Environments