| dc.contributor.author | Ni, Saifeng | en_US |
| dc.contributor.author | Zhong, Zichun | en_US |
| dc.contributor.author | Huang, Jin | en_US |
| dc.contributor.author | Wang, Wenping | en_US |
| dc.contributor.author | Guo, Xiaohu | en_US |
| dc.contributor.editor | Ju, Tao and Vaxman, Amir | en_US |
| dc.date.accessioned | 2018-07-27T12:55:03Z | |
| dc.date.available | 2018-07-27T12:55:03Z | |
| dc.date.issued | 2018 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.13499 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13499 | |
| dc.description.abstract | We present a particle-based approach to generate field-aligned tetrahedral meshes, guided by cubic lattices, including BCC and FCC lattices. Given a volumetric domain with an input frame field and a user-specified edge length for the cubic lattice, we optimize a set of particles to form the desired lattice pattern. A Gaussian Hole Kernel associated with each particle is constructed. Minimizing the sum of kernels of all particles encourages the particles to form a desired layout, e.g., field-aligned BCC and FCC. The resulting set of particles can be connected to yield a high quality field-aligned tetrahedral mesh. As demonstrated by experiments and comparisons, the field-aligned and lattice-guided approach can produce higher quality isotropic and anisotropic tetrahedral meshes than state-of-the-art meshing methods. | en_US |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.title | Field-Aligned and Lattice-Guided Tetrahedral Meshing | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.sectionheaders | Meshing | |
| dc.description.volume | 37 | |
| dc.description.number | 5 | |
| dc.identifier.doi | 10.1111/cgf.13499 | |
| dc.identifier.pages | 161-172 | |
