Collision Detection and Tissue Modeling in a VR-Simulator for Eye Surgery
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Date
2002
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{:10.2312/EGVE/EGVE02/027-036,
booktitle = {Eurographics Workshop on Virtual Environments},
editor = {S. Mueller and W. Stuerzlinger},
title = {{Collision Detection and Tissue Modeling in a VR-Simulator for Eye Surgery}},
author = {Wagner, Clemens and Schill, Markus A. and Männer, Reinhard},
year = {2002},
publisher = {The Eurographics Association},
ISSN = {1727-530X},
ISBN = {1-58113-535-1},
DOI = {/10.2312/EGVE/EGVE02/027-036}
}