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Complexity of the delaunay triangulation of points on surfaces the smooth case
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Source Annual Symposium on Computational Geometry archive
Proceedings of the nineteenth annual symposium on Computational geometry table of contents
San Diego, California, USA
SESSION: Models and meshes table of contents
Pages: 201 - 210  
Year of Publication: 2003
ISBN:1-58113-663-3
Authors
Dominique Attali  Domaine Universitaire, Saint Martin d'Hères, France
Jean-Daniel Boissonnat  INRIA, Sophia-Antipolis, France
André Lieutier  LMC-IMAG, Grenoble, Dassault Systèmes, Aix-en-Provence, France
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
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ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 60,   Citation Count: 17
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ABSTRACT

It is well known that the complexity of the Delaunay triangulation of N points in R 3, i.e. the number of its faces, can be O (N2). The case of points distributed on a surface is of great practical importance in reverse engineering since most surface reconstruction algorithms first construct the Delaunay triangulation of a set of points measured on a surface.In this paper, we bound the complexity of the Delaunay triangulation of points distributed on generic smooth surfaces of R 3. Under a mild uniform sampling condition, we show that the complexity of the 3D Delaunay triangulation of the points is O(N log N).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Jean-Daniel Boissonnat and Frédéric Cazals. Smooth surface reconstruction via natural neighbour interpolati on of distance functions. Comp. Geometry Theory and Applications, pages 185--203, 2002.
 
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CITED BY  17

Collaborative Colleagues:
Dominique Attali: colleagues
Jean-Daniel Boissonnat: colleagues
André Lieutier: colleagues