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2012 | OriginalPaper | Buchkapitel

14. Triangle Mesh Generation: Delaunay Triangulation

verfasst von : Jakob Andreas Bærentzen, Jens Gravesen, François Anton, Henrik Aanæs

Erschienen in: Guide to Computational Geometry Processing

Verlag: Springer London

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Abstract

In this chapter, the generation of triangle meshes from points is illustrated via the Delaunay triangulation. Apart from Delaunay triangulation being the most common triangulation method, the aim is also to give an overview of the typical issues of point triangulation in general. As such the aspects of numerical accuracy and constraint triangulation are also covered. Central constructive proofs of Delaunay triangulation are covered along with the connection to Voronoi diagrams and convex hulls. The aim is that the student should be able to complete an exercise in performing Delaunay triangulation after this chapter; as such the flip algorithm is covered in some detail, as well as the geometric primitives in circle and left of. These primitives are the foundation of many triangulation algorithms. The arguably most efficient algorithm for 2D Delaunay triangulation, the divide and conquer algorithm, is also presented.

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Fußnoten
1
If l goes through another point, replace p′ with that.
 
2
Actually, of these six edges the three new ones will be locally Delaunay. To see this, note that before the insertion of the point the triangle t j is Delaunay, and thus has an empty circumcircle. It is seen that a circumcircle of one of the new edges can be constructed completely within this old circumcircle (e.g., by shrinking the old circumcircle), whereby the new edges are locally Delaunay at the outset.
 
3
Both papers contain further references to the subject.
 
4
Note that the center of a Delaunay triangle’s circumcircle need not necessarily be located within that triangle.
 
Literatur
1.
Zurück zum Zitat Bern, M., Eppstein, D.: Mesh generation and optimal triangulation. In: Computing in Euclidean Geometry. Lecture Notes Ser. Comput., vol. 1, pp. 23–90. World Scientific, River Edge (1992) CrossRef Bern, M., Eppstein, D.: Mesh generation and optimal triangulation. In: Computing in Euclidean Geometry. Lecture Notes Ser. Comput., vol. 1, pp. 23–90. World Scientific, River Edge (1992) CrossRef
2.
Zurück zum Zitat Edelsbrunner, H.: Geometry and Topology for Mesh Generation. Cambridge Monographs on Applied and Computational Mathematics, vol. 7, p. 177. Cambridge University Press, Cambridge (2006). 978-0-521-68207-7; Reprint of the 2001 original MATH Edelsbrunner, H.: Geometry and Topology for Mesh Generation. Cambridge Monographs on Applied and Computational Mathematics, vol. 7, p. 177. Cambridge University Press, Cambridge (2006). 978-0-521-68207-7; Reprint of the 2001 original MATH
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5.
Zurück zum Zitat Guibas, L., Stolfi, J.: Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams. ACM Trans. Graph. 4, 74–123 (1985) MATHCrossRef Guibas, L., Stolfi, J.: Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams. ACM Trans. Graph. 4, 74–123 (1985) MATHCrossRef
6.
Zurück zum Zitat Guibas, L.J., Knuth, D.E., Sharir, M.: Randomized incremental construction of Delaunay and Voronoi diagrams. Algorithmica (New York) 7(4), 381–413 (1992) MathSciNetMATHCrossRef Guibas, L.J., Knuth, D.E., Sharir, M.: Randomized incremental construction of Delaunay and Voronoi diagrams. Algorithmica (New York) 7(4), 381–413 (1992) MathSciNetMATHCrossRef
7.
Zurück zum Zitat Pion, S., Devillers, O.: Efficient exact geometric predicates for Delaunay triangulations. In: 5th Workshop on Algorithm Engineering and Experiments (ALENEX 03) (2003) Pion, S., Devillers, O.: Efficient exact geometric predicates for Delaunay triangulations. In: 5th Workshop on Algorithm Engineering and Experiments (ALENEX 03) (2003)
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Zurück zum Zitat Shewchuk, J.R.: Adaptive precision floating-point arithmetic and fast robust geometric predicates. Discrete Comput. Geom. 18, 305–363 (1997) MathSciNetMATHCrossRef Shewchuk, J.R.: Adaptive precision floating-point arithmetic and fast robust geometric predicates. Discrete Comput. Geom. 18, 305–363 (1997) MathSciNetMATHCrossRef
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Zurück zum Zitat de Berg, M., van Kreveld, M., Overmars, M., Schwarzkopf, O.: Computational Geometry. Algorithms and Applications, p. 365. Springer, Berlin (1997) MATHCrossRef de Berg, M., van Kreveld, M., Overmars, M., Schwarzkopf, O.: Computational Geometry. Algorithms and Applications, p. 365. Springer, Berlin (1997) MATHCrossRef
11.
Zurück zum Zitat Gold, C.M., Mioc, D., Anton, F., Sharma, O., Dakowicz, M.: A methodology for automated cartographic data input, drawing and editing using kinetic Delaunay/Voronoi diagrams. In: Studies in Computational Intelligence, vol. 158 (2009). doi:10.1007/978-3-540-85126-4 Gold, C.M., Mioc, D., Anton, F., Sharma, O., Dakowicz, M.: A methodology for automated cartographic data input, drawing and editing using kinetic Delaunay/Voronoi diagrams. In: Studies in Computational Intelligence, vol. 158 (2009). doi:10.​1007/​978-3-540-85126-4
Metadaten
Titel
Triangle Mesh Generation: Delaunay Triangulation
verfasst von
Jakob Andreas Bærentzen
Jens Gravesen
François Anton
Henrik Aanæs
Copyright-Jahr
2012
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-4075-7_14

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