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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(2):156-161 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.105

Robust Triangulation Algorithm for Geometry with Acute Angle Features

Xianhai Meng and Guoyi Mei

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.

Index Terms—Algorithm, computational geometry, triangulation, conforming delaunay triangulation, weighted vertex, acute angles.

Xianhai Meng and Guoyi Mei are with School of Computer Science & Engineering, Beihang University, 100083, Beijing, China (e-mail: mengxh@ nlsde.buaa.edu.cn; meiguoyi@ nlsde.buaa.edu.cn).

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Cite: Xianhai Meng and Guoyi Mei, "Robust Triangulation Algorithm for Geometry with Acute Angle Features," International Journal of Machine Learning and Computing vol. 2, no. 2, pp. 156-161, 2012.

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