Towards geodesic ridge curve for region-wise linear representation of geodesic distance field

IF 1.3 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Computer Aided Geometric Design Pub Date : 2024-04-23 DOI:10.1016/j.cagd.2024.102291
Wei Liu , Pengfei Wang , Shuangmin Chen , Shiqing Xin , Changhe Tu , Ying He , Wenping Wang
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Abstract

This paper addresses the challenge of representing geodesic distance fields on triangular meshes in a piecewise linear manner. Unlike general scalar fields, which often assume piecewise linear changes within each triangle, geodesic distance fields pose a unique difficulty due to their non-differentiability at ridge points, where multiple shortest paths may exist. An interesting observation is that the geodesic distance field exhibits an approximately linear change if each triangle is further decomposed into sub-regions by the ridge curve. However, computing the geodesic ridge curve is notoriously difficult. Even when using exact algorithms to infer the ridge curve, desirable results may not be achieved, akin to the well-known medial-axis problem. In this paper, we propose a two-stage algorithm. In the first stage, we employ Dijkstra's algorithm to cut the surface open along the dual structure of the shortest path tree. This operation allows us to extend the surface outward (resembling a double cover but with distinctions), enabling the discovery of longer geodesic paths in the extended surface. In the second stage, any mature geodesic solver, whether exact or approximate, can be employed to predict the real ridge curve. Assuming the fast marching method is used as the solver, despite its limitation of having a single marching direction in a triangle, our extended surface contains multiple copies of each triangle, allowing various geodesic paths to enter the triangle and facilitating ridge curve computation. We further introduce a simple yet effective filtering mechanism to rigorously ensure the connectivity of the output ridge curve. Due to its merits, including robustness and compatibility with any geodesic solver, our algorithm holds great potential for a wide range of applications. We demonstrate its utility in accurate geodesic distance querying and high-fidelity visualization of geodesic iso-lines.

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实现大地测量距离场区域线性表示的大地测量脊曲线
本文探讨了在三角形网格上以片断线性方式表示大地测量距离场的难题。一般标量场通常假定每个三角形内呈片断线性变化,而大地测量距离场与之不同,由于其在脊点处的不可分性,可能存在多条最短路径,因此带来了独特的困难。一个有趣的现象是,如果每个三角形被山脊曲线进一步分解为子区域,大地测量距离场就会呈现近似线性的变化。然而,计算大地脊曲线是出了名的困难。即使使用精确算法来推断脊曲线,也可能无法获得理想的结果,这与众所周知的中轴问题类似。在本文中,我们提出了一种两阶段算法。在第一阶段,我们采用 Dijkstra 算法,沿着最短路径树的对偶结构切开曲面。通过这一操作,我们可以将曲面向外扩展(类似于双覆盖,但有区别),从而在扩展曲面中发现更长的大地路径。在第二阶段,任何成熟的大地解算器,无论是精确的还是近似的,都可以用来预测真正的脊曲线。假设使用快速行进法作为求解器,尽管它在三角形中只有一个行进方向,但我们的扩展曲面包含每个三角形的多个副本,允许各种大地路径进入三角形,从而方便了脊曲线的计算。我们进一步引入了一种简单而有效的过滤机制,以严格确保输出脊曲线的连通性。我们的算法具有稳健性和与任何大地解算器的兼容性等优点,因此具有广泛的应用潜力。我们展示了该算法在精确大地测量距离查询和大地测量等值线高保真可视化方面的实用性。
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来源期刊
Computer Aided Geometric Design
Computer Aided Geometric Design 工程技术-计算机:软件工程
CiteScore
3.50
自引率
13.30%
发文量
57
审稿时长
60 days
期刊介绍: The journal Computer Aided Geometric Design is for researchers, scholars, and software developers dealing with mathematical and computational methods for the description of geometric objects as they arise in areas ranging from CAD/CAM to robotics and scientific visualization. The journal publishes original research papers, survey papers and with quick editorial decisions short communications of at most 3 pages. The primary objects of interest are curves, surfaces, and volumes such as splines (NURBS), meshes, subdivision surfaces as well as algorithms to generate, analyze, and manipulate them. This journal will report on new developments in CAGD and its applications, including but not restricted to the following: -Mathematical and Geometric Foundations- Curve, Surface, and Volume generation- CAGD applications in Numerical Analysis, Computational Geometry, Computer Graphics, or Computer Vision- Industrial, medical, and scientific applications. The aim is to collect and disseminate information on computer aided design in one journal. To provide the user community with methods and algorithms for representing curves and surfaces. To illustrate computer aided geometric design by means of interesting applications. To combine curve and surface methods with computer graphics. To explain scientific phenomena by means of computer graphics. To concentrate on the interaction between theory and application. To expose unsolved problems of the practice. To develop new methods in computer aided geometry.
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