Abstract
This paper presents a quantitative evaluation of the accuracy of different sphere-tree construction methods when they are used in deformable bodies. The methods evaluated are Grid (an extension of octrees), Hubbard, Adaptive Medial Axis and Spawn. We also present a new approach to update the sphere-tree hierarchy that ensures lower loss of accuracy than in traditional update techniques.
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Garcia, M., Bayona, S., Toharia, P., Mendoza, C. (2005). Comparing Sphere-Tree Generators and Hierarchy Updates for Deformable Objects Collision Detection. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_21
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DOI: https://doi.org/10.1007/11595755_21
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