PCA in Computer Graphics

With Prof. WonSook Lee, University of Ottawa, Canada

Abstract:

Principal Component Analysis (PCA) is a very popular statistical analysis tool. Statistical approach in computer graphics is mainly for example-based method where many examples (usually from real-life data) are analysed and the important characteristics are extracted to build realistic looking virtual shapes and movements. In this talk we discuss how the statistical methods have been used in various objects such as human modeling, animation and even fluid simulation.

Short Bio:

WonSook Lee has been working at EECS, Faculty of Engineering, University of Ottawa, Canada since Sep, 2003. She has worked on computer animation(MPEG 4), face recognition(MPEG 7), medical imaging and etc. Her interests diverse from Computer graphics to Computer vision, but the main theme is VISUALIZATION and HUMAN.

She has studied, worked in companies and universities in South Korea, U.K., Singapore, Switzerland, U.S.A. and now it's time for Canada.

Date: Monday June 4th, 2012, 4:00pm

Location: Battelle bât A, auditorium ground floor

21 mai 2012

À la Une