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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Garcia, M., Bayona, S., Toharia, P., & Mendoza, C. (2005). Comparing sphere-tree generators and hierarchy updates for deformable objects collision detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3804 LNCS, pp. 167–174). https://doi.org/10.1007/11595755_21
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