Tetrahedral meshing via maximal Poisson-disk sampling

Guo, Jianwei; Yan, Dong-Ming; Chen, Li; Zhang, Xiaopeng; Deussen, Oliver; Wonka, Peter

Tetrahedral meshing via maximal Poisson-disk sampling

Dateien

Guo_0-324779.pdf(1.71 MB)

Datum

2016

Autor:innen

Guo, Jianwei

Yan, Dong-Ming

Chen, Li

Zhang, Xiaopeng

Deussen, Oliver

Wonka, Peter

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Computer Aided Geometric Design ; 43 (2016). - S. 186-199. - ISSN 0167-8396. - eISSN 1879-2332

Zusammenfassung

In this paper, we propose a simple yet effective method to generate 3D-conforming tetrahedral meshes from closed 2-manifold surfaces. Our approach is inspired by recent work on maximal Poisson-disk sampling (MPS), which can generate well-distributed point sets in arbitrary domains. We first perform MPS on the boundary of the input domain, we then sample the interior of the domain, and we finally extract the tetrahedral mesh from the samples by using 3D Delaunay or regular triangulation for uniform or adaptive sampling, respectively. We also propose an efficient optimization strategy to protect the domain boundaries and to remove slivers to improve the meshing quality. We present various experimental results to illustrate the efficiency and the robustness of our proposed approach. We demonstrate that the performance and quality (e.g., minimal dihedral angle) of our approach are superior to current state-of-the-art optimization-based approaches.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

GUO, Jianwei, Dong-Ming YAN, Li CHEN, Xiaopeng ZHANG, Oliver DEUSSEN, Peter WONKA, 2016. Tetrahedral meshing via maximal Poisson-disk sampling. In: Computer Aided Geometric Design. 43, pp. 186-199. ISSN 0167-8396. eISSN 1879-2332. Available under: doi: 10.1016/j.cagd.2016.02.004

BibTex

@article{Guo2016-02Tetra-33525,
  year={2016},
  doi={10.1016/j.cagd.2016.02.004},
  title={Tetrahedral meshing via maximal Poisson-disk sampling},
  volume={43},
  issn={0167-8396},
  journal={Computer Aided Geometric Design},
  pages={186--199},
  author={Guo, Jianwei and Yan, Dong-Ming and Chen, Li and Zhang, Xiaopeng and Deussen, Oliver and Wonka, Peter}
}

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