报告时间：2015年6月16日星期二下午3:00
报告地点：浙江大学紫金港校区蒙民伟楼CAD&CG国家重点实验室402室
报告题目：Mathematics and Physics Foundation for Digital Medicine in Virtual Environments
报告人：Prof. Hong Qin
Department of Computer Science, SUNY Stony Brook (Stony Brook University)
主持人：陈为 教授
Talk Abstract:
Ever since mid-1980's, physics-based modeling and simulation has been ubiquitous in 3D interactive graphics, geometry information processing, digital engineering and entertainment, virtual reality,and visual computing with a large variety of applications. In technical essence, physics-based models and their dynamic behaviors are governed by physical laws in the form of Partial Differential Equations (PDEs) built upon the variational, energy-optimization modeling framework. In the first half of this presentation, I will overview the latest development of deformable models and their applications in shape modeling, simulation, and synthesis, with applications in computer animation, virtual reality, digital media,medical imaging, etc. Since late 1990's, we have witnessed a paradigm shift in visual computing from the model-driven methodology to new data-driven methods and computational techniques. Strongly inspired by this new paradigm and its latest development, I will advocate a new physics-based approach to shape analysis, data mining, and machine learning in the second half of this presentation. Our current research foci are to apply PDEs with initial or boundary value conditions to shape analysis, visual information processing, and medical imaging.Specific application areas include: virtual surgery simulation, shape feature extraction and classification, data segmentation and clustering, non-rigid registration for volumetric medical data analysis, geometry information processing, etc. After presenting thorough theoretical results and foundations, I will showcase a large variety of applications in computer science and engineering, and briefly discuss future research and development directions.
