中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 三维可视计算
Cut-enhanced PolyCube-Maps for Feature-aware All-Hex Meshing

文献类型：期刊论文

作者Guo, Hao-Xiang2,4; Liu, Xiaohan1,3,4; Yan, Dong-Ming1,3; Liu, Yang4
刊名ACM TRANSACTIONS ON GRAPHICS
出版日期2020-07-01
卷号39期号:4页码:14
关键词hexahedral meshing PolyCube-Map cut-enhanced feature-aware
ISSN号0730-0301
DOI10.1145/3386569.3392378
通讯作者Guo, Hao-Xiang(ghx17@mails.tsinghua.edu.cn)
英文摘要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.
WOS关键词GENERATION ; PARAMETERIZATION
资助项目National Natural Science Foundation of China[61772523] ; National Key R&D Program of China[2019YFB2204104] ; Beijing Natural Science Foundation[L182059]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000583700300079
出版者ASSOC COMPUTING MACHINERY
资助机构National Natural Science Foundation of China ; National Key R&D Program of China ; Beijing Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/41679]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Guo, Hao-Xiang
作者单位1.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
2.Tsinghua Univ, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Microsoft Res Asia, 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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。