时间：11月26日星期二下午13：30—14：30
地点：浙大紫金港校区CAD&CG国家重点实验室402室
题目：Model synthesis through data driven optimization
报告人：Dr. Lap-Fai (Craig) Yu
主持人：任重副教授
Abstract:In view of the immense and rapidly increasing quantity of user-created 3D content and real-world scene data publicly available on the internet, as well as the widespread popularity of data acquisition devices such as low-cost depth cameras, it has become convenient to acquire or access data that can potentially be utilized for modeling.
In this talk, we explore how data-driven optimization can be adapted to the essential task of modeling, We first discuss the conceptual innovations inherent to model synthesis through data driven optimization, along with the advantages of and considerations in its application. We then tackle various challenging modeling problems within our novel framework. In the context of computer graphics, we devise data-driven optimization methods for virtual world modeling and virtual character modeling. In the context of computer vision, we devise data-driven optimization methods for 3D surface reconstruction from images.
Bio:Lap-Fai (Craig) Yu is currently a postdoctoral scholar at Stanford University and the Singapore University of Technology and Design (SUTD). He received his Ph.D. degree in Computer Science from UCLA in 2013, and his M.Phil. and B.Eng. (First Class Honors) degrees in Computer Science from the HKUST, in 2009 and 2007 respectively. He also worked as a research intern at the Internet Graphics Group at Microsoft Research Asia in the summer of 2011.
His research interests include computer graphics and computer vision, particularly on the problem of 3D modeling. His research works have been published in SIGGRAPH, SIGGRAPH ASIA and CVPR, and have been featured in New Scientist, the UCLA Headlines and the UCLA Mathematics Newsletter.
