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

Wenlong Meng, Shuangmin Chen*, Zhenyu Shu, Shi-Qing Xin, Hongbo Fu, Changhe Tu

*Corresponding author for this work

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

9 Citations (Scopus)
264 Downloads (CityUHK Scholars)

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.
Original languageEnglish
Pages (from-to)62-70
JournalComputers & Graphics
Volume70
Online published19 Jul 2017
DOIs
Publication statusPublished - Feb 2018

Research Keywords

  • Offsetting
  • Particle system
  • Feature alignment

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: ©2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.

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