题  目： Mathematical Techniques for Authentication of Visual Arts

报告人： 汪扬教授

时  间： 2012年5月15日2:30-4:00

地  点： 管研楼1218

Abstract: Can mathematics help deciding which paintings are authentic and which ones are forgeries? The mathematical analysis of visual stylometry is a relatively new area in mathematics. In this talk we present some recent work in this direction. In particular we show that a technique known as the empirical mode decomposition (EMD), combined with techniques from machine learning, can be an effective tool for the authentication of visual arts. We apply our techniques to drawings by Pieter Bruegel the Elder and Rembrandt.

Short Bio: Yang Wang received his BS in mathematics  from University of Science and Technology of China in 1983, and his PhD in mathematics from Harvard University in 1990 under the supervision David Mumford. He is currently the Head of Department of Mathematics at Michigan State University. Before joining MSU he was a faculty member at Georgia Tech from 1989 to 2006 and a program officer at NSF 2006-2007. Wang's research interests span a broad range of pure and applied mathematics, including tiling, fractal geometry, wavelets, signal processing, blind source separations, among others.

主办单位：中国科学技术大学数学科学学院   国家数学与交叉科学中心合肥分中心 

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