Topological structure extraction for computing surface–surface intersection curves

Pengbo Bo, Qingxiang Liu, Caiming Zhang
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Abstract

Surface–surface intersection curve computation is a fundamental problem in CAD and solid modeling. Extracting the structure of intersection curves accurately, especially when there are multiple overlapping curves, is a key challenge. Existing methods rely on densely sampled intersection points and proximity-based connections, which are time-consuming to obtain. In this paper, we propose a novel method based on Delaunay triangulation to accurately extract intersection curves, even with sparse intersection points. We also introduce an intersection curve optimization technique to enhance curve accuracy. Extensive experiments on various examples demonstrate the effectiveness of our method.

Abstract Image

用于计算面-面交汇曲线的拓扑结构提取
面-面交点曲线计算是 CAD 和实体建模中的一个基本问题。准确提取交点曲线的结构是一项关键挑战,尤其是当存在多条重叠曲线时。现有的方法依赖于密集采样的交点和基于邻近度的连接,而获取这些连接非常耗时。在本文中,我们提出了一种基于 Delaunay 三角测量的新方法,即使交点稀疏,也能精确提取交点曲线。我们还引入了交点曲线优化技术,以提高曲线的精确度。对各种实例的广泛实验证明了我们方法的有效性。
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