Knowledge Commons of Institute of Automation，CAS
| Error-Bounded and Feature Preserving Surface Remeshing with Minimal Angle Improvement | |
Hu, Kaimo1; Yan, Dong-Ming2 ; Bommes, David3; Alliez, Pierre4; Benes, Bedrich1
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| 发表期刊 | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
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| 2017-12-01 | |
| 卷号 | 23期号:12页码:2560-2573 |
| 文章类型 | Article |
| 摘要 | Surface remeshing is a key component in many geometry processing applications. The typical goal consists in finding a mesh that is (1) geometrically faithful to the original geometry, (2) as coarse as possible to obtain a low-complexity representation and (3) free of bad elements that would hamper the desired application (e.g., the minimum interior angle is above an application-dependent threshold). Our algorithm is designed to address all three optimization goals simultaneously by targeting prescribed bounds on approximation error delta, minimal interior angle theta and maximum mesh complexity N (number of vertices). The approximation error bound d is a hard constraint, while the other two criteria are modeled as optimization goals to guarantee feasibility. Our optimization framework applies carefully prioritized local operators in order to greedily search for the coarsest mesh with minimal interior angle above theta and approximation error bounded by delta. Fast runtime is enabled by a local approximation error estimation, while implicit feature preservation is obtained by specifically designed vertex relocation operators. Experiments show that for reasonable angle bounds (theta <= 35 degrees) our approach delivers high-quality meshes with implicitly preserved features (no tagging required) and better balances between geometric fidelity, mesh complexity and element quality than the state-of-the-art. |
| 关键词 | Surface Remeshing Error-bounded Feature Preserving Minimal Angle Improvement Saliency Function |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TVCG.2016.2632720 |
| 关键词[WOS] | RESTRICTED VORONOI DIAGRAM ; OPTIMIZATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | European Research Council (ERC Starting Grant Robust Geometry Processing)(257474) ; National Science Foundation of China(61373071 ; German Research Foundation (DFG)(GSC 111) ; 61372168 ; 61620106003) |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Software Engineering |
| WOS记录号 | WOS:000414393700007 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/13992 |
| 专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
| 作者单位 | 1.Purdue Univ, 610 Purdue Mall, W Lafayette, IN 47907 USA 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Rhein Westfal TH Aachen, Schinkelstr 2, D-52062 Aachen, Germany 4.Inria Sophia Antipolis Mediterranee, 2004 Route Lucioles BP 93, F-06902 Sophia Antipolis, France |
| 推荐引用方式 GB/T 7714 | Hu, Kaimo,Yan, Dong-Ming,Bommes, David,et al. Error-Bounded and Feature Preserving Surface Remeshing with Minimal Angle Improvement[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2017,23(12):2560-2573. |
| APA | Hu, Kaimo,Yan, Dong-Ming,Bommes, David,Alliez, Pierre,&Benes, Bedrich.(2017).Error-Bounded and Feature Preserving Surface Remeshing with Minimal Angle Improvement.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,23(12),2560-2573. |
| MLA | Hu, Kaimo,et al."Error-Bounded and Feature Preserving Surface Remeshing with Minimal Angle Improvement".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 23.12(2017):2560-2573. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2017_TVCG_Remesh.pdf（8458KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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