Tetrahedral meshing via maximal Poisson-disk sampling

doi:10.1016/j.cagd.2016.02.004

	Tetrahedral meshing via maximal Poisson-disk sampling
	Guo, Jianwei1 ; Yan, Dong-Ming1 ; Chen, Li 2; Zhang, Xiaopeng1 ; Deussen, Oliver 3,4; Wonka, Peter 5; Dong-Ming Yan
发表期刊	COMPUTER AIDED GEOMETRIC DESIGN
	2016-03-01
卷号	43 期号:43 页码:186-199
文章类型	Article
摘要	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. (C) 2016 Elsevier B.V. All rights reserved.
关键词	Tetrahedral Mesh Generation Maximal Poisson-disk Sampling Sliver Removal Mesh Optimization
WOS标题词	Science & Technology ; Technology ; Physical Sciences
DOI	10.1016/j.cagd.2016.02.004
关键词[WOS]	CENTROIDAL VORONOI TESSELLATIONS ; GENERATION ; EFFICIENT ; ALGORITHM ; TRIANGULATION ; COMPUTATION ; DIAGRAM ; MESHES
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61372168 ; China National 863 Program(2015AA016402) ; Foreign 1000 Talent Plan(WQ201344000169) ; 61331018 ; 61272225 ; 61572274 ; 61271431)
WOS研究方向	Computer Science ; Mathematics
WOS类目	Computer Science, Software Engineering ; Mathematics, Applied
WOS记录号	WOS:000374599700016
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11671
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Dong-Ming Yan
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China 3.Univ Konstanz, D-78457 Constance, Germany 4.Shenzhen Key Lab Visual Comp & Visual Analyt SIAT, Shenzhen 518055, Peoples R China 5.King Abdullah Univ Sci & Technol, Visual Comp Ctr, Thuwal 239556900, Saudi Arabia
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Guo, Jianwei,Yan, Dong-Ming,Chen, Li,et al. Tetrahedral meshing via maximal Poisson-disk sampling[J]. COMPUTER AIDED GEOMETRIC DESIGN,2016,43(43):186-199.
APA	Guo, Jianwei.,Yan, Dong-Ming.,Chen, Li.,Zhang, Xiaopeng.,Deussen, Oliver.,...&Dong-Ming Yan.(2016).Tetrahedral meshing via maximal Poisson-disk sampling.COMPUTER AIDED GEOMETRIC DESIGN,43(43),186-199.
MLA	Guo, Jianwei,et al."Tetrahedral meshing via maximal Poisson-disk sampling".COMPUTER AIDED GEOMETRIC DESIGN 43.43(2016):186-199.

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