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IJML 2012 Vol.2(2): 156-161
doi: 10.7763/IJMLC.2012.V2.105

Robust Triangulation Algorithm for Geometry with Acute Angle Features

Xianhai Meng , Guoyi Mei

  • School of Computer Science & Engineering, Beihang University, 100083, Beijing, China.

Abstract

A new algorithm is presented to automatic generate conforming Delaunay triangulation of non-manifold geometric domains with acute angle features. The algorithm is based on Delaunay refinement technique, which often failed to terminate when there are small angles in input geometry. By assigning proper weights to vertices on sharp-angled elements and take place Delaunay triangulation with weighted Delaunay triangulation, the algorithm can accept any inputs without any bound on angle and without setting any protected area and adding any new vertices near the sharp-angled elements. The algorithm also guarantees bounded circumradius to shortest edge length for all elements except the ones near small input angles. The proof of terminator and some computation results are also presented.

Keywords

  • Algorithm
  • computational geometry
  • triangulation
  • conforming delaunay triangulation
  • weighted vertex
  • acute angles
105-S0068

How to Cite

Copied

Xianhai Meng and Guoyi Mei, "Robust Triangulation Algorithm for Geometry with Acute Angle Features," International Journal of Machine Learning, vol. 2, no. 2, pp. 156-161, 2012. https://doi.org/10.7763/IJMLC.2012.V2.105

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD