Robust Volumetric Mesh Generation and Processing
Courant Institute of Mathematical Sciences
New York University
Jeudi 15 février, 15:30-16:30, Salle 3195, Pavillon André-Aisenstadt
Université de Montréal, 2920 Chemin de la Tour
Café avant à 15:00
La présentation sera donnée en anglais.
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-quality 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 (pure hexahedral) meshes. The results of my research projects are reproducible and publicly accessible for people from both academic institutes and companies.
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, and multimedia forensics. He is currently focusing on research topics in robust mesh generation and processing. His research works have been published in several leading Journals, e.g., ACM TOG, ACM TOMM, CGF, and IEEE TVCG.