Robust Volumetric Meshing
- Xifeng Gao, New York University
- Time: 2018-04-02 15:20
- Host: CFCS
- Venue: Room 101, Courtyard No.5, Jingyuan
Abstract
Simulations with high fidelity play an essential role in many disciplines, such as computer graphics and computer-aided engineering. For more than 30 years, volumetric meshing, i.e. discretizing the interior of an object, has been the bottleneck of high- fidelity simulations. In practice, a large amount of time is spent on manually creating and repairing meshes. In this talk, I propose the first fully robust solution to generate volumetric meshes to meet different requirements for simulations, which were elusive for several decades. The solution is designed to automatically generate and process high-quality unstructured (tetrahedral) meshes, semi-structured (hexahedral-dominant) meshes, and structured (hexahedral) meshes. The datasets and source codes of my research projects are publicly accessible for people from both academic institutes and companies.
Biography
Xifeng Gao is a postdoctoral associate in the Courant Institute of Mathematical Sciences at New York University. He received his PhD degree in 2016 and won the best PhD dissertation award from the Department of Computer Science at the University of Houston. His research interests are computer graphics, image processing, multimedia forensics, and digital fabrication. He is currently focusing on research in robust meshing and its applications. His research works have been published in several leading Journals, e.g., ACM TOG, ACM TOMM, CGF, and IEEE TVCG.