Efficiently computing feature-aligned and high-quality polygonal offset surfaces

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Scopus Citations
View graph of relations

Author(s)

  • Wenlong Meng
  • Shuangmin Chen
  • Zhenyu Shu
  • Shi-Qing Xin
  • Changhe Tu

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)62-70
Journal / PublicationComputers & Graphics
Volume70
Online published19 Jul 2017
Publication statusPublished - Feb 2018

Link(s)

Abstract

3D surface offsetting is a fundamental geometric operation in CAD/CAE/CAM. In this paper, we propose a super-linear convergent algorithm to generate a well-triangulated and feature-aligned offset surface based on particle system. The key idea is to distribute a set of moveable sites as uniformly as possible while keeping these sites at a specified distance away from the base surface throughout the optimization process. In order to make the final triangulation align with geometric feature lines, we use the moveable sites to predict the potential feature regions, which in turn guide the distribution of moveable sites. Our algorithm supports multiple kinds of input surfaces, e.g., triangle meshes, implicit functions, parametric surfaces and even point clouds. Compared with existing algorithms on surface offsetting, our algorithm has significant advantages in terms of meshing quality, computational performance, topological correctness and feature alignment.

Research Area(s)

  • Offsetting, Particle system, Feature alignment

Citation Format(s)

Efficiently computing feature-aligned and high-quality polygonal offset surfaces. / Meng, Wenlong; Chen, Shuangmin; Shu, Zhenyu et al.
In: Computers & Graphics, Vol. 70, 02.2018, p. 62-70.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Download Statistics

No data available