题目： High-Fidelity and Efficient Meshing on Surface and Volume
报告人： Dr. Zichun Zhong，Wayne State University, USA (http://www.cs.wayne.edu/zzhong/)
Dr. Zichun Zhong is an Assistant Professor of Computer Science and the Director of Computer Modeling and Imaging Visualization Lab at Wayne State University since August 2015. He received the Ph.D. degree (2014) in Computer Science at The University of Texas at Dallas. He was a Postdoctoral Fellow (2014 - 2015) in Department of Radiation Oncology at UT Southwestern Medical Center at Dallas. His research interests include computer graphics, geometric modeling (specifically surface and volume mesh generations), medical image processing (specifically deformable image registration, 3D / 4D image reconstruction), visualization, virtual reality and augmented reality, and GPU algorithms. He has published about 50 conference and journal papers in the above research fields, including ACM SIGGRAPH, ACM Transactions on Graphics, IEEE Visualization, IEEE Transactions on Visualization and Computer Graphics, CVPR, ICCV, MICCAI, etc. Dr. Zhong received the National Science Foundation CAREER Award in 2019. He serves as a program committee member for many international conferences and a reviewer for many top conferences and journals in his research field.
Nowadays, in simulation, healthcare, engineering, manufacturing areas, there is an emerging need to realistically and efficiently reconstruct and visualize 3D surficial and volumetric objects with complex geometric structures and highly anisotropic properties from a complicated scenario. However, in traditional meshing methods, the complicated algorithms and impractical implementations are becoming the major bottleneck and impeding the effective utilization and better understanding of the acquired 3D models. In this talk, I will introduce several our recent research work to address the above challenges, i.e., developing a variety of theoretical and computational methods for high-quality and high-efficiency 3D isotropic and anisotropic meshings considering the shape geometry as well as Riemannian metric fields on surfaces and volumes. Finally, some related applications will be discussed.