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3D Modeling: from Acquisition, Reconstruction, to Understanding
Date: 2014/12/18             Browse: 674

Speaker: Ruigang Yang

Time: Dec. 18, 3:15-4:45 pm

Location: Room 220, Building 8, Yueyang Road Campus


In this talk, I will give an overview of my research in 3D modeling – a research topic that crosses the boundary of computer graphics and computer vision.  Based on the availability of sensing hardware, from a single image to active 3D scanners, we have developed algorithms that cover the entire spectrum of 3D modeling, from enhancing the quality and speed of raw depth sensors to creating high-level semantic models. In particular, I will talk about our recent approaches to create large scale models and dynamic models.  In both cases, by applying domain knowledge in the modeling process, we are able to recover high-quality 3D models from incomplete and often noisy sensor input.


Ruigang Yang is currently a full professor of Computer Science at the University of Kentucky. He obtained his PhD degree from University of North Carolina at Chapel Hill and his MS desire from Columbia University. His research interests span over computer graphics and computer vision, in particular in 3D reconstruction and 3D data analysis. He has published over 100 papers, which, according to Google Scholar, has received close to 6000 citations with an h-index of 37 (as of 2014). He has received a number of awards, including US NSF Career award in 2004 and the Dean’s Research Award in 2013. He is currently an associate editor of IEEE TPAMI and a senior member of IEEE.                                                                                                                                                                                     SIST-Seminar 14045