Where machine vision needs help from computer science
Seminar
Digital Signal Processing
| By: | Bill Freeman
Professor, Dept. of Electrical Engineering and Computer Science |
| From: | Massachusetts Institute of Technology |
| When: | Thursday, May 10, 2012
3:00 PM - 4:00 PM
|
| Where: | Duncan Hall
1064 |
| Abstract: | I'll describe where computer vision needs advances from computer
science and machine learning. This talk will cover where computer
vision works well: finding cars and faces, operating in controlled
environments, and where it doesn't work well: in the uncontrolled
settings of daily life. Several aspects of the problem make it
particularly appropriate for machine learning research: we have large
datasets of high-dimensional data, so efficient processing is crucial
for success. The data are noisy, and we search and analyze images
over Internet scales.
I'll list a number of computer vision problems, describe their structure,
and tell where we need help. This talk was partially crowd-sourced:
at recent computer vision conferences, I've asked my colleagues where
they felt we needed help from computer science and machine learning,
and I'll report on what they said.
Host: Richard Baraniuk |
Bill Freeman
Bio: | Bill Freeman is a Professor of Computer Science at the Massachusetts
Institute of Technology, and Associate Head of the Dept. of Electrical
Engineering and Computer Science. His research interests
include machine learning applied to computer vision and graphics, and
computational photography.
He worked at Polaroid, a company that made "film" cameras, developing
image processing algorithms for electronic cameras and printers. In
1987-88, he was a Foreign Expert at the Taiyuan University of
Technology, China. For 9 years he worked at Mitsubishi Electric
Research Labs (MERL), in Cambridge, MA, as Sr. Research Scientist and
Associate Director. He holds 30 patents and is an IEEE Fellow. A
hobby is flying cameras in kites.
Dr. Freeman has been active in organizing computer vision, graphics,
and machine learning conferences, serving on their program and
organizing committees. He was the program co-chair for the
International Conference on Computer Vision (ICCV) in 2005, and will
be the program co-chair for Computer Vision and Pattern Recognition
(CVPR) in 2013.
|