CORMSIS Seminar "Minimizing curvature by simple curvature filters" - Dr Yuanhao Gong Event
- Date:
- 15 April 2021
- Venue:
- Please email Huan Yu for a link to the virtual seminar
For more information regarding this event, please email Huan Yu at Huan.Yu@southampton.ac.uk .
Event details
Curvature optimization is a fundamental task in various applications, including image processing, manufacture industry, and computer graphics. However, minimizing curvature is challenging because it involves high order PDEs (geometric flows) and high order smoothness requirement. In this talk, I will show several simple filters that can efficiently minimize curvature without such limitations. Our filters are 1000 times faster than the classical geometric flows and do not require the surface to be second order differentiable. Our filters minimize curvature without explicitly computing it. Their efficiency and effectiveness is confirmed by several numerical experiments in image processing and triangular mesh processing. Such simple filters can be applied in a large range of applications where minimizing curvature is needed.
Speaker information
Dr. Yuanhao Gong, received his B.S. degree in mathematics from Tsinghua University, China, in 2007 and PhD degree in computer science from ETH Zurich, Switzerland, in 2015. Between 2015 and 2016, he was working as postdoc at National University of Singapore. Between 2016 and 2018, he was with computer vision lab at ETH Zurich. In 2018, he joined Shenzhen University, China. His research interests include image processing, high performance computing, and medical image analysis. He has published more than 40 papers that have been cited more than 1000 times. He received several awards, including the Best Paper Award at IEEE ISBI 2012.