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Efficient and Accurate Collision Detection Based on Surgery Simulation

  • Kai Xie
  • Jie Yang
  • Yue Min Zhu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4091)

Abstract

In this paper, we present a sphere-tree based hierarchical collision detection algorithm (STHCD) for surgery simulation. Each model is represented as a clustered hierarchy of sphere tree (CHST). Graphics processing unit (GPU)-based occlusion queries were used for fast collision culling between massive models. Furthermore, we are able to generate these hierarchies and perform collision queries using out-of-core techniques on all triangulated models. Experimental results show that STHCD performs real-time collision detection between massive bones and implant models, consisting of millions of triangles at interactive rates on a commodity PC.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kai Xie
    • 1
  • Jie Yang
    • 1
  • Yue Min Zhu
    • 2
  1. 1.Inst. of Image Processing & Pattern RecognitionShanghai Jiaotong Univ.ShanghaiChina
  2. 2.CREATIS – CNRS research unit 5515 & INSERM unit 630VilleurbanneFrance

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