Locally Meshable Frame Fields

ACM Transactions on Graphics (SIGGRAPH 2023)
Heng Liu, David Bommes

Materials

Note: The content of the dataset (zip+pdf) offered as direct download on this page and on Zenodo are identical.

Abstract

The main robustness issue of state-of-the-art frame field based hexahedral mesh generation algorithms originates from non-meshable topological configurations, which do not admit the construction of an integer-grid map but frequently occur in smooth frame fields. In this article, we investigate the topology of frame fields and derive conditions on their meshability, which are the basis for a novel algorithm to automatically turn a given non-meshable frame field into a similar but locally meshable one. Despite local meshability is only a necessary but not sufficient condition for the stronger requirement of meshability, our algorithm increases the 2% success rate of generating valid integer-grid maps with state-of-the-art methods to 58%, when compared on the challenging HexMe dataset [Beaufort et al. 2022]. The source code of our implementation and the data of our experiments are available at https://lib.algohex.eu.

BibTeX

@article{Liu:2023:locallymeshable,
  author = {Liu, Heng and Bommes, David},
  title = {Locally Meshable Frame Fields},
  journal = {ACM Transactions on Graphics},
  volume = {42},
  number = {4},
  year = {2023},
  publisher = {ACM},
  address = {New York, NY, USA},
  doi={10.1145/3592457}
}