Institute of Computing Technology, Chinese Academy IR
| Sparse Data Driven Mesh Deformation | |
| Gao, Lin1; Lai, Yu-Kun2; Yang, Jie1; Zhang, Ling-Xiao1; Xia, Shihong1; Kobbelt, Leif3 | |
| 2021-03-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
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| ISSN | 1077-2626 |
| 卷号 | 27期号:3页码:2085-2100 |
| 摘要 | Example-based mesh deformation methods are powerful tools for realistic shape editing. However, existing techniques typically combine all the example deformation modes, which can lead to overfitting, i.e., using an overly complicated model to explain the user-specified deformation. This leads to implausible or unstable deformation results, including unexpected global changes outside the region of interest. To address this fundamental limitation, we propose a sparse blending method that automatically selects a smaller number of deformation modes to compactly describe the desired deformation. This along with a suitably chosen deformation basis including spatially localized deformation modes leads to significant advantages, including more meaningful, reliable, and efficient deformations because fewer and localized deformation modes are applied. To cope with large rotations, we develop a simple but effective representation based on polar decomposition of deformation gradients, which resolves the ambiguity of large global rotations using an as-consistent-as-possible global optimization. This simple representation has a closed form solution for derivatives, making it efficient for our sparse localized representation and thus ensuring interactive performance. Experimental results show that our method outperforms state-of-the-art data-driven mesh deformation methods, for both quality of results and efficiency. |
| 关键词 | Strain Shape Deformable models Interpolation Computational modeling Geometry Manifolds Data driven sparsity large scale deformation real-time deformation |
| DOI | 10.1109/TVCG.2019.2941200 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | Beijing Municipal Natural Science Foundation[L182016] ; National Natural Science Foundation of China[61872440] ; National Natural Science Foundation of China[61828204] ; Youth Innovation Promotion Association CAS ; Young Elite Scientists Sponsorship Program by CAST[2017QNRC001] ; CCF-Tencent Open Fund ; SenseTime Research Fund ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University[VRLAB2019C01] |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Software Engineering |
| WOS记录号 | WOS:000613744500016 |
| 出版者 | IEEE COMPUTER SOC |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.204/handle/2XEOYT63/16258 |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Gao, Lin |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 2.Cardiff Univ, Sch Comp Sci & Informat, Visual Comp Grp, Cardiff CF10 3AT, Wales 3.Rhein Westfal TH Aachen, Inst Comp Graph & Multimedia, D-52062 Aachen, Germany |
| 推荐引用方式 GB/T 7714 | Gao, Lin,Lai, Yu-Kun,Yang, Jie,et al. Sparse Data Driven Mesh Deformation[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2021,27(3):2085-2100. |
| APA | Gao, Lin,Lai, Yu-Kun,Yang, Jie,Zhang, Ling-Xiao,Xia, Shihong,&Kobbelt, Leif.(2021).Sparse Data Driven Mesh Deformation.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,27(3),2085-2100. |
| MLA | Gao, Lin,et al."Sparse Data Driven Mesh Deformation".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 27.3(2021):2085-2100. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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