Robotics Institute Seminar, December 8, 2000
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White Squares on Black Backgrounds: Computer Vision in the 21st Century
School of Computer Science
Carnegie Mellon University
1305 Newell-Simon Hall
Refreshments 3:15 pm
Talk 3:30 pm
White Squares on Black Backgrounds (WSOBB) are of fundamental
importance in Computer Vision (particularly in Computer Vision 101.)
In this talk, I will describe three ongoing projects involving WSOBB,
the first concerning Theoretical WSOBB, the second Synthetic WSOBB,
and the third Real WSOBB. I will also describe applications of WSOBB
to stereo, face recognition, and human-computer interaction.
Simon Baker is a Research Scientist in the Robotics Institute at
Carnegie Mellon University, where he conducts research in Computer
Vision. Before joining the Robotics Institute in September 1998, he
was a Graduate Research Assistant at Columbia University, where he
obtained his Ph.D. in the Department of Computer Science. He also
spent a summer visiting the Vision Technology Group at Microsoft
Research. His current research focuses on a wide range of Computer
Vision problems from stereo reconstruction and the estimation of 3D
scene motion, to illumination modeling and sensor design. His work has
appeared in a number of international Computer Vision conferences and
journals. He received his B.A. in Mathematics from the University of
Cambridge in June 1991 and his M.Sc. in Computer Science from the
University of Edinburgh in November 1992.
For appointments, please contact the speaker, Simon Baker (firstname.lastname@example.org).
The Robotics Institute
is part of the School of Computer
Science, Carnegie Mellon
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