报告题目：Novel Data Modeling and Analysis Techniques based on Shape Registration

报告人：Hong Qin（Professor）

主持人：王长波（教授）

报告时间：1月7日（周一）下午14:00-15:00

报告地点：中山北路校区数学馆201

主办单位：软件学院

报告摘要：

With the rapid advances of 3D surface scanning technologies and medical modalities for volumetric objects, high-fidelity surface models and volumetric datasets of tremendous size have been routinely acquired through the state-of-the-art hardware systems. This talk focuses on the challenging research problem of how to compute the best possible data registration between different objects of arbitrarily complicated topological types and how to further broaden conventional application scopes in visual computing beyond the traditional boundary of computer aided geometric computing and interactive 3D graphics. One of our recent research activities aims to seek accurate and efficient solutions to this fundamental and significant problem. In particular, we have articulated a general and powerful data modeling and analysis paradigm based on shape registration for objects in different dimensions with arbitrary topologies: in the curve case, we devise the conformal invariants as curve signatures; in the surface case, we exploit techniques of topological decomposition and quasi-conformal mapping; and in the volumetric case, we focus on harmonic mapping based on Green function theory. The great potential of our shape registration framework will be highlighted through many valuable applications such as shape analysis, deformation editing, animation morphing, information transfer and reuse, finite element meshing, texture transplant, and physics-based modeling and simulation. We envision much broader application scopes in many visual computing fields including computational vision, shape data base, and content-driven information retrieval, digital medicine, material synthesis, virtual environments, etc.

报告人简介：

Professor Hong Qin is a Full Professor (with tenure) of Computer Science in Department of Computer Science at State University of New York at Stony Brook (Stony Brook University), where he is Director of Geometric and Graphical Modeling Lab., and also a member of SUNYSB's Center for Visual Computing. His major research interests are Computer Graphics, Geometric and Physics-Based Modeling, Computer Aided Geometric Design, Virtual Environments, Virtual Engineering, Animation, Simulation, etc. He has published about 140 papers in journals and conferences, including IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Image Processing, Computer-Aided Design, Computers & Graphics, Computer Graphics Forum, Computer & Graphics, CVPR, ICCV, ECCV, Eurvis, etc. Prof. Qin was awarded NSF CAREER Award from the National Science Foundation (1997), a newly-established NSF Information Technology Research (ITR) grant (2000), Honda Initiation Grant Award (2000), NSF ITR grant (2003). In February 2001, Prof. Qin was selected as an Alfred P. Sloan Research Fellow by the Sloan Foundation. Currently, he is an associate editor for IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), and he is also on the editorial board of The Visual Computer. He is the Conference Co-Chair for ACM Solid and Physical Modeling Symposium 2007.