Collision Detection and Tissue Modeling in a VR-Simulator for Eye Surgery
Collision Detection and Tissue Modeling in a VR-Simulator for Eye Surgery
复制标题
用于眼科手术的 VR 模拟器中的碰撞检测和组织建模
DOI：
10.2312/egve/egve02/027-036
复制
发表时间：
2002
影响因子：
2.4
通讯作者：
R. Männer
中科院分区：
文献类型：
--
作者：
C. Wagner;M. Schill;R. Männer
本文给出了一个调查的组织相互作用的技术，并讨论了他们的应用范围内的眼内训练系统EyeSi。碰撞检测和软组织建模被确定为关键交互技术。针对EyeSi中的碰撞检测问题，提出了一种基于图像的可变形曲面与刚体碰撞检测方法。通过利用图形处理单元的计算能力，它实现了更高的性能比现有的基于几何的方法。计算变形向量并用于生物力学模型。一个质量弹簧的方法被证明是足够强大的桥梁之间的差距差距低的计算需求和令人信服的组织行为。
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.