Enhancing Bounding Volumes using Support Plane Mappings for Collision Detection
Athanasios Vogiannou, Konstantinos Moustakas, Dimitrios Tzovaras, Michael G. Strintzis
Eurographics Symposium on Geometry Processing, 2010, pp. 1595--1604.
Abstract: In this paper we present a new method for improving the performance of the widely used Bounding Volume Hierarchies for collision detection. The major contribution of our work is a culling algorithm that serves as a generalization of the Separating Axis Theorem for non parallel axes, based on the well-known concept of support planes. We also provide a rigorous definition of support plane mappings and implementation details regarding the application of the proposed method to commonly used bounding volumes. The paper describes the theoretical foundation and an overall evaluation of the proposed algorithm. It demonstrates its high culling efficiency and in its application, significant improvement of timing performance with different types of bounding volumes and support plane mappings for rigid body simulations.
Article URL: http://diglib.eg.org/EG/CGF/volume29/issue5/v29i5pp1595-1604.pdf
BibTeX format:
@inproceedings{Vogiannou:2010:EBV,
  author = {Athanasios Vogiannou and Konstantinos Moustakas and Dimitrios Tzovaras and Michael G. Strintzis},
  title = {Enhancing Bounding Volumes using Support Plane Mappings for Collision Detection},
  booktitle = {Eurographics Symposium on Geometry Processing},
  pages = {1595--1604},
  year = {2010},
}
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