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Minkowski sum computation for planar freeform geometric models using G~1-biarc approximation and interior disk culling

机译:使用G〜1-biarc逼近和内部磁盘剔除计算平面自由形式几何模型的Minkowski和

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摘要

We present an efficient algorithm for computing the Minkowski sum of two planar geometric models bounded by B-spline curves. The boundary curves are first approximated by G1-biarc splines within a given error bound E0. A superset of Minkowski sum boundary is then generated using the biarc approximations. For non-convex models, the superset contains redundant arcs. An efficient and robust elimination of the redundancies is the main challenge of Minkowski sum computation. For this purpose, we use the Minkowski sum of interior disks of the two input models, which are again disks in the Minkowski sum interior. The majority of redundant arcs are eliminated by testing each against a small number of interior disks selected for efficiency. From the planar arrangement of remaining arcs, we construct the Minkowski sum boundary in a correct topology. We demonstrate a real-time performance and the stability of circle-based Minkowski sum computation using a large set of test data.
机译:我们提出了一种有效的算法,用于计算以B样条曲线为边界的两个平面几何模型的Minkowski和。在给定的误差范围E> 0内,边界曲线首先由G1-biarc样条曲线近似。然后,使用biarc逼近生成Minkowski和边界的超集。对于非凸模型,超集包含冗余弧。有效和鲁棒地消除冗余是Minkowski和计算的主要挑战。为此,我们使用两个输入模型的内部磁盘的Minkowski总和,它们又是Minkowski总和内部的磁盘。通过针对少数为提高效率而选择的内部磁盘进行测试,可以消除大多数冗余电弧。根据剩余弧的平面排列,我们以正确的拓扑构造Minkowski和边界。我们演示了使用大量测试数据的实时性能以及基于圆的Minkowski和计算的稳定性。

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