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Fast proximity computation among deformable models using discrete Voronoi diagrams

机译:使用离散Voronoi图的可变形模型之间的快速邻近度计算

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We present novel algorithms to perform collision and distance queries among multiple deformable models in dynamic environments. These include inter-object queries between different objects as well as intra-object queries. We describe a unified approach to compute these queries based on N-body distance computation and use properties of the 2(nd) order discrete Voronoi diagram to perform N-body culling. Our algorithms involve no preprocessing and also work well on models with changing topologies. We can perform all proximity queries among complex deformable models consisting of thousands of triangles in a fraction of a second on a high-end PC. Moreover, our Voronoi-based culling algorithm can improve the performance of separation distance and penetration queries by an order of magnitude.
机译:我们提出了新颖的算法来在动态环境中的多个可变形模型之间执行碰撞和距离查询。这些包括不同对象之间的对象间查询以及对象内查询。我们描述了一种基于N体距离计算来计算这些查询的统一方法,并使用2阶离散Voronoi图的属性来执行N体剔除。我们的算法不涉及任何预处理,并且在拓扑变化的模型上也能很好地工作。在高端PC上,我们可以在几分之一秒内执行由数千个三角形组成的复杂可变形模型之间的所有邻近查询。此外,我们基于Voronoi的剔除算法可以将分离距离和穿透查询的性能提高一个数量级。

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