@article{af5bc15dacbd4639a91d1799f65f1608,
title = "A novel algorithm for volume-preserving parameterizations of 3-manifolds",
abstract = "Manifold parameterizations have been applied to various fields of commercial industries. Several efficient algorithms for the computation of triangular surface mesh parameterizations have been pro- posed in recent years. However, the computation of tetrahedral volumetric mesh parameterizations is more challenging due to the fact that the number of mesh points would become enormously large when the higher-resolution mesh is considered and the bijectivity of parameterizations is more difficult to guarantee. In this paper, we develop a novel volumetric stretch energy minimization algorithm for volume-preserving parameterizations of simply connected 3-manifolds with a single boundary under the restriction that the boundary is a spherical area-preserving mapping. In addition, our algorithm can also be applied to compute spherical angle- and area-preserving parameterizations of genus-zero closed surfaces, respectively. Several numerical experiments indicate that the developed algorithms are more efficient and reliable compared to other existing algorithms. Numerical results on applications of the manifold partition and the mesh processing for three-dimensional printing are demonstrated thereafter to show the robustness of the proposed algorithm.",
keywords = "Genus-zero closed surface, Manifold parameterization, Simply connected 3-manifold, Volume-preserving parameterization, Volumetric stretch energy minimization",
author = "Yueh, {Mei Heng} and Tiexiang Li and Lin, {Wen Wei} and Yau, {Shing Tung}",
note = "Funding Information: The work of the second author was partially supported by National Natural Science Foundation of China grant 11471074. The work of the authors was partially supported by the Ministry of Science and Technology (MOST), the National Center for Theoretical Sciences (NCTS), the Taida Institute for Mathematical Sciences, the ST Yau Center in Taiwan, the Shing-Tung Yau Center at Southeast University, and the Center of Mathematical Sciences and Applications at Harvard University. Funding Information: ∗Received by the editors July 18, 2018; accepted for publication (in revised form) April 10, 2019; published electronically June 13, 2019. http://www.siam.org/journals/siims/12-2/M120118.html Funding: The work of the second author was partially supported by National Natural Science Foundation of China grant 11471074. The work of the authors was partially supported by the Ministry of Science and Technology (MOST), the National Center for Theoretical Sciences (NCTS), the Taida Institute for Mathematical Sciences, the ST Yau Center in Taiwan, the Shing-Tung Yau Center at Southeast University, and the Center of Mathematical Sciences and Applications at Harvard University. †Department of Mathematics, National Taiwan Normal University, Taipei, Taiwan (yue@ntnu.edu.tw). ‡School of Mathematics, Southeast University, Nanjing, China (txli@seu.edu.cn). §Department of Applied Mathematics, National Chiao Tung University, Hsinchu, Taiwan (wwlin@math. nctu.edu.tw). ¶Department of Mathematics, Harvard University, Cambridge, MA 02138 (yau@math.harvard.edu). Publisher Copyright: {\textcopyright} 2019 Society for Industrial and Applied Mathematics.",
year = "2019",
doi = "10.1137/18M1201184",
language = "English",
volume = "12",
pages = "1071--1098",
journal = "SIAM Journal on Imaging Sciences",
issn = "1936-4954",
publisher = "Society for Industrial and Applied Mathematics Publications",
number = "2",
}