报告人：Peter J. Olver教授

单位：University of Minnesota

报告时间：2016年12月15日（星期四）晚上19:30

报告地点：长安校区 外国语学院报告厅

报告摘要：Fundamental problems in image processing and computer vision include recognizing when twoobjects are the "same" and classifying their symmetries. The underlying mathematicalapparatus is group theory, and the solution relies on the associated invariants. InEuclidean geometry, familiar examples include inter-point distances and areas, along withcurvature and torsion of curves and surfaces. The talk will introduce the basics ofgroups, symmetries, and invariants, illustrated by examples and pictures.  This will befollowed by a presentation of recent applications to automated jigsaw puzzle assembly andcancer detection.

报告人简介：Peter John Olver is an American methematician whose primary research interests revolve around the applications of symmetry and Lie groups to differential equations. Over the years, he has done research in fluid mechanics, elasticity, quatum mechanics, mathematical physics, Hamiltonian mechanics, the calculus of variations, differential geometry, classical invariant theory, computer vision, and geometric numerical methods.

      He has been a full professor at the University of Minnesota since 1985. As of July, 2008, he has been serving as the Head of the Department. Olver became a fellow of the Society for Industrial and Applied Mathematics for “developing new geometric methods for differential equations leading to applications in fluid mechanics, elasticity, quantum mechanics, and image processing.”In addition, Olver is an elected fellow of the institute of Physics and a fellow of the American Mathematical Society.

 欢迎各位老师和同学参加！