CS 600.641
VISION-BASED INTERACTION FOR MAN AND MACHINE
Professor Gregory D. Hager
Wednesday, 10:00, Room 324b NEB
Overview:
This seminar course surveys recent research results
on algorithms for dynamic vision and their application. Specific emphasis
will be placed on approaches which derive novel and efficient algorithms
using generalizable mathmetical and/or computational principles. Application
papers will cover problems ranging from the automated control of devices
using vision (e.g. automated driving) to perception-based user interfaces.
Students will be expected to participate in class by reading, presenting,
and discussing research papers.
Clientelle:
Graduate students in computer science, electrical engineering,
mechanical engineering and related disciplines. The ideal student
should have a background in engineering mathematics, programming experience,
and some exposure to signal processing and/or computer vision.
Content and Format:
I will spend the first two lectures introducing the
course and covering some basic background material on camera models and
imaging that will be useful in the remainder of the course. Starting in
the second week, we will cover papers. I will do the first week or two,
and then we will rotate through the rest of the group discussing papers.
Those taking the course for credit will be required to write a paper and/or
do a project of their choice. The following is
an (as yet) unordered, incomplete list of papers from which we can choose.
I doubt we can cover them all during the semester....
Background Reading:
Computer Vision
Compendium (everything you always wanted to know ...)
Trucco and Verri: Computer Vision (new; I've heard its a decent book)
Ballard and Brown: Computer Vision (and older standby)
Jain: Computer Vision (Presents the basics; I'd stick with one of the
two above)
Visual Tracking:
Incremental
Focus of Attention for Robust Vision-Based Tracking (with K. Toyama)
Accepted to appear in IJCV. (33 pages, 2.7M compressed postscript)
Efficient
Region Tracking With Parametric Models of Geometry and Illumination (with
P. Belhumeur). IEEE Transactions on Pattern Analysis and Machine Intelligence,
20(10), pp. 1125-1139, 1998. (34 pages, 2.7M compressed postscript)
The
XVision System: A General-Purpose Substrate for Portable Real-Time Vision
Applications (with K. Toyama). In Computer Vision and Image Understanding
69(1) pp. 23 - 37. (32 pages, 1.5M compressed postscript).
Black, M. J. and Jepson, A.,
EigenTracking: Robust matching and tracking
of articulated objects using a view-based representation,International
Journal of Computer Vision, 26(1), pp. 63-84, 1998. also Xerox
PARC, Technical Report P95-000515, Feb. 1996.
C.Bregler, J.Malik, Video Motion Capure, UCB//CSD-97-973
Paper in gziped PS (843KB) or
PDF
(2.3MB)
Vision-Based Control:
What
Tasks Can Be Performed with an Uncalibrated Stereo Vision System?
(with
J. Hespanha, Z.Dodds, and A.S. Morse) To appear, IJCV. (21 pages, 300K
compressed postscript)
Read the Abstract.
Selected articles from The Confluence of Vision and Control (D.
Kriegman, G.D. Hager and A.S. Morse, Editors) LNCIS series, Springer-Verlag,
1998.
Interaction:
Selected articles from Computer
Vision for Human-Machine Interaction