德劳内三角网格生成 (2012) (Délàonèi sānjiǎowǎnggé shēngchéng (2012)) - *This is just the pinyin for reference, you asked for only readable Chinese.*
Delaunay Mesh Generation (2012)

原始链接: https://people.eecs.berkeley.edu/~jrs/meshbook.html

## 德劳内网格生成:综合指南 程、戴和谢夫丘克合著的《德劳内网格生成》是一本关于创建高质量网格的详细资源,这对于有限元分析、渲染和地理信息系统等应用至关重要。本书提供了透彻的数学基础和用于生成三角形(二维)、四面体(三维)和表面网格的实用算法。 本书面向研究人员和软件开发人员,涵盖了构建德劳内三角剖分,更重要的是,*细化*它们。这个细化过程涉及策略性地向现有网格添加顶点,以满足特定的质量和尺寸要求。 本书分为三个部分:基础理论、分段线性复形(多边形/多面体)的细化以及曲面域的细化。它详细介绍了保证单元质量、拓扑精度和高效性能的算法。书中包含大量的示例、练习和实现建议,以及在线提供的免费示例章节。本书是关于德劳内三角剖分及其细化方面最全面的指南。

一个 Hacker News 的讨论集中在德劳内三角网格生成技术上,这是一种创建高质量三角形网格的方法。虽然在数学上是可靠的,并且非常擅长细节逼真——甚至被 YouTuber Sebastian Lague 用于一个视觉上引人注目的片头动画中——但由此产生的拓扑结构对于实时应用来说可能存在问题,因为三角形形状不规则且顶点位置不理想。 用户指出,这些网格通常需要简化和“重新拓扑”才能在图形处理中有效使用,但仍然对法线贴图等任务很有价值。 此外,当前在 Gaussian splats、点云以及基于人工智能的从照片重建 3D 场景等领域的进展,也被认为未来可能超越德劳内三角网格的能力。 讨论强调了德劳内三角网格在实时图形之外的优势,同时也承认了它的局限性以及 3D 建模领域不断变化的情况。
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原文
Delaunay Mesh Generation
Siu-Wing Cheng
Tamal Krishna Dey
Jonathan Richard Shewchuk
Hong Kong University of Science and Technology
The Ohio State University
University of California at Berkeley
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CRC Press, Boca Raton, Florida, December 2012. xii+375 pages.
Buy it from Taylor & Francis, from Amazon, or from Barnes & Noble.
Please send comments, questions, and errata to all three authors at

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Our book is a thorough guide to Delaunay refinement algorithms that are mathematically guaranteed to generate meshes with high quality, including triangular meshes in the plane, tetrahedral volume meshes, and triangular surface meshes embedded in three dimensions. It is also the most complete guide available to Delaunay triangulations and algorithms for constructing them. We have designed the book for two audiences: researchers, especially graduate students, and engineers who design and program mesh generation software. Exercises are included; so is implementation advice.

Delaunay refinement algorithms for mesh generation construct meshes of triangles or tetrahedra (“elements”) that are suitable for applications like interpolation, rendering, terrain databases, geographic information systems, and most demandingly, the solution of partial differential equations by the finite element method. Delaunay refinement algorithms operate by maintaining a Delaunay or constrained Delaunay triangulation which is refined by inserting additional vertices until the mesh meets constraints on element quality and size. These algorithms offer theoretical bounds on element quality, edge lengths, and spatial grading of element sizes; topological and geometric fidelity to complicated domains, including curved domains with internal boundaries; and truly satisfying performance in practice.

The first third of the book lays out the mathematical underpinnings of Delaunay triangulations and the most practical algorithms for constructing them. The second third of the book describes Delaunay refinement algorithms for domains expressed as piecewise linear complexes, which model polygons and polyhedra but also support internal boundaries. The final third of the book describes Delaunay refinement algorithms for curved domains—specifically, smooth surfaces, volumes bounded by smooth surfaces, and piecewise smooth domains that have curved ridges and patches and are represented by piecewise smooth complexes.

The book has fifteen chapters, summarized below. Check out free samples of the Table of Contents and Preface (PDF, 198k, 13 pages), Chapter 1 (PDF, 708k, 30 pages), Chapter 2 (PDF, 286k, 24 pages), Chapter 9 (PDF, 472k, 17 pages), and Chapter 13 (PDF, 455k, 29 pages).

  • 1. Introduction. Meshes and the goals of mesh generation; a brief history of mesh generation; simplices, complexes, and polyhedra; metric space topology; how to measure and judge elements.
  • 2. Two-dimensional Delaunay triangulations. Triangulations and Delaunay triangulations of point sets; the parabolic lifting map; the Delaunay Lemma; the flip algorithm; the optimality and uniqueness of the Delaunay triangulation; weighted Delaunay triangulations; triangulations of polygons and piecewise linear complexes; constrained Delaunay triangulations.
  • 3. Algorithms for constructing Delaunay triangulations. Geometric predicates; data structures; inserting or deleting a vertex in a Delaunay triangulation or a constrained Delaunay triangulation; point location; incremental vertex insertion algorithms and their analysis; inserting a segment into a constrained Delaunay triangulation; the gift-wrapping algorithm.
  • 4. Three-dimensional Delaunay triangulations. Triangulations and Delaunay triangulations in higher dimensions; the optimality of higher-dimensional Delaunay triangulations; bistellar flips and the flip algorithm; three-dimensional constrained Delaunay triangulations; the CDT Theorem.
  • 5. Algorithms for constructing Delaunay triangulations in R3. Data structures; inserting a vertex or a polygon into a constrained Delaunay triangulation; point location; incremental vertex insertion algorithms in three dimensions and their analysis; biased randomized insertion orders; gift-wrapping in three dimensions.
  • 6. Delaunay refinement in the plane. Delaunay refinement algorithms; Ruppert's algorithm for triangular mesh generation; implementation; guarantees of termination, good quality, size optimality, and optimal grading; domains with small angles; constrained Delaunay refinement.
  • 7. Voronoi diagrams and weighted complexes. Voronoi diagrams; weighted Voronoi diagrams and weighted Delaunay triangulations; quarantined complexes.
  • 8. Tetrahedral meshing of PLCs. Tetrahedral Delaunay refinement; implementation; guarantees of termination, good quality, and good grading; refining slivers away; constrained Delaunay tetrahedral refinement.
  • 9. Weighted Delaunay refinement for PLCs with small angles. Principles of weighted Delaunay refinement; protecting vertices and segments; a weighted Delaunay refinement algorithm; guarantees of termination and good grading.
  • 10. Sliver exudation. Principles of sliver exudation; implementation; the Sliver Theorem.
  • 11. Refinement for sliver exudation. Encroachment rules; a weighted Delaunay refinement algorithm for sliver exudation; guarantees of domain conformity, termination, good quality, and good grading; revisiting the Sliver Theorem.
  • 12. Smooth surfaces and point samples. Topological spaces; maps, homeomorphisms, and isotopies; manifolds; smooth manifolds; the medial axis and the local feature size; ε-samples of surfaces; approximation theory for well-sampled surfaces.
  • 13. Restricted Delaunay triangulations of surface samples. Restricted Voronoi diagrams and restricted Delaunay triangulations; the Topological Ball Theorem; distances and angles in ε-samples; properties of restricted Voronoi faces; homeomorphism, isotopy, and geometric fidelity of restricted Delaunay triangulations of well-sampled surfaces.
  • 14. Meshing smooth surfaces and volumes. Triangular Delaunay surface meshing with a known local feature size; topology-driven surface meshing; practical surface meshing; enforcing quality and smoothness; remeshing polyhedral surfaces; tetrahedral meshing of volumes bounded by smooth surfaces.
  • 15. Meshing piecewise smooth complexes. Piecewise smooth complexes and their triangulations; protecting vertices and ridges; a Delaunay refinement algorithm for meshing PSCs; the PSC Lemma; guarantees of termination, good quality, and homeomorphism; enforcing quality; volume meshing.

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