Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing

doi:10.1145/3386569.3392378

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 三维可视计算

	Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing
	Guo, Hao-Xiang 1,2; Liu, Xiaohan2,3,4 ; Yan, Dong-Ming3,4 ; Liu, Yang 2
发表期刊	ACM TRANSACTIONS ON GRAPHICS
ISSN	0730-0301
	2020-07-01
卷号	39 期号:4 页码:14
通讯作者	Guo, Hao-Xiang(ghx17@mails.tsinghua.edu.cn)
摘要	Volumetric PolyCube-Map-based methods offer automatic ways to construct all-hexahedral meshes for closed 3D polyhedral domains, but their meshing quality is limited by the lack of interior singularities and feature alignment. In the presented work, we propose cut-enhanced PolyCube-Maps, to introduce essential interior singularities and preserve most input features. Our main idea is simple and intuitive: by inserting proper parameterization seams into the initial PolyCube-Map via novel PolyCube cutting operations, the mapping distortion can be reduced significantly. The cut-enhanced PolyCube-Map computation includes feature-aware PolyCube-Map construction and cut-enhanced PolyCube deformation. The former aims to preserve input feature edges during the initial PolyCubeMap construction. The latter introduces seams into the volumetric PolyCube shape by cutting it through selective. PolyCube edges and deforms the modified PolyCube under the seamless constraints to compute a low-distortion PolyCube-Map. The hexahedral mesh induced by the final PolyCube-Map can be further enhanced by our mesh improvement algorithm. We validate the efficacy of our method on a collection of more than one hundred CAD models and demonstrate its advantages over other automatic all-hex meshing methods and padding strategies. The limitations of cut-enhanced PolyCube-Maps are also discussed thoroughly.
关键词	hexahedral meshing PolyCube-Map cut-enhanced feature-aware
DOI	10.1145/3386569.3392378
关键词[WOS]	GENERATION ; PARAMETERIZATION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61772523] ; National Key R&D Program of China[2019YFB2204104] ; Beijing Natural Science Foundation[L182059]
项目资助者	National Natural Science Foundation of China ; National Key R&D Program of China ; Beijing Natural Science Foundation
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:000583700300079
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：21[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/173211/41680
专题	多模态人工智能系统全国重点实验室_三维可视计算
通讯作者	Guo, Hao-Xiang
作者单位	1.Tsinghua Univ, Beijing, Peoples R China 2.Microsoft Res Asia, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Guo, Hao-Xiang,Liu, Xiaohan,Yan, Dong-Ming,et al. Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing[J]. ACM TRANSACTIONS ON GRAPHICS,2020,39(4):14.
APA	Guo, Hao-Xiang,Liu, Xiaohan,Yan, Dong-Ming,&Liu, Yang.(2020).Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing.ACM TRANSACTIONS ON GRAPHICS,39(4),14.
MLA	Guo, Hao-Xiang,et al."Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing".ACM TRANSACTIONS ON GRAPHICS 39.4(2020):14.