"Subspace Analysis, Face Detection and Recognition"
Dr. Stan Li
Microsoft Research Asia
Talk: Tuesday, March 4, 2003
Talk: 3:00-4:00 p.m.
Location: Room 2108 Engineering Bldg.
Host: A. Jain
Abstract: Many problems in intelligent information processing involve some
form of dimensionality reduction. A specific pattern (e.g., the human face) can
reside in a low dimensional subspace of a high dimensional data (e.g., image)
space. Subspace analysis aims to discover and compute intrinsic, low
dimensional features of the pattern from the data for an effective
representation. In this talk, I will (1) give an overview of classic and
contemporary subspace analysis techniques, (2) describe recent advances in
subspace modeling and learning for face detection, alignment and recognition,
and (3) show some face recognition demos.
Biography: Stan Li is a Researcher in the Microsoft Research Asian. He
joined Microsoft in May 2000 from his post as an associate professor of Nanyang
Technological University Singapore. His current research interest is in pattern
recognition and machine learning, image analysis, and face technologies. He has
published 2 books, including "Markov Random Field Modeling in Image
Analysis" (Springer-Verlag, 2nd edition in 2001), and over 100 refereed
papers and book chapters in these areas. He obtained a B.Eng from Hunan
University, a M.Eng from National University of Defense Technology, and a PhD
from Surrey University where he also worked as a research fellow. All the
degrees are in Electrical and Electronic Engineering. He is a senior member of
IEEE and currently serves as editorial board of Pattern Recognition, and program
committees of various international conferences. He enjoys doing sports,
traveling, and listening to music, especially Baroque and rock.