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Adaptive surface decomposition for the distance computation of arbitrarily shaped objects

机译:自适应曲面分解,用于任意形状物体的距离计算

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We propose an adaptive decomposition algorithm to compute separation distances between arbitrarily shaped objects. Using the Gilbert-Johnson-Keerthi algorithm (GJK), we search for sub-mesh pairs whose convex hulls do not intersect. We show how to employ characteristics of GJK to guide a recursive decomposition of the objects in the case of intersections. We further show how to employ GJK to derive lower and upper distance bounds in non-intersecting cases. The bounds are used in a spatial subdivision scheme to enforce a twofold culling of the domain. Experiments show the applicability of the algorithm in dynamic scenarios with dynamically moving rigid and deformable objects.
机译:我们提出了一种自适应分解算法来计算任意形状的物体之间的分离距离。使用Gilbert-Johnson-Keerthi算法(GJK),我们搜索凸包不相交的子网格对。我们展示了如何利用GJK的特征来指导在相交情况下对象的递归分解。我们进一步展示了在不相交的情况下,如何使用GJK来得出上下限。在空间细分方案中使用边界来强制执行域的双重剔除。实验表明该算法在动态场景下具有动态移动的刚性和变形对象的适用性。

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