[BIC-announce] FW: Grad course announcement

[Jennifer Chew, Ms.]

FORWARDING ON BEHALF OF PROFESSOR FRANK FERRIE.  Jennifer 

McGill University
Department of Electrical and Computer Engineering
Topics in Computer Vision and Robotics
ECSE 683
Fall 2008
About the Course:
Computer Vision deals with the problem of inferring properties of the 3D
world from
information encoded in images. The course will examine the field from a
reasonably
broad perspective, from the basic properties of image formation to
higher level problems
such as object recognition in 2D and 3D. Although the course is listed
at the 600 level,
there are no particular prerequisites other than an undergraduate
background in electrical
engineering or computer science and the requisite mathematical skills
(linear algebra,
calculus, analytical geometry, basic statistics and probability). Some
proficiency in
computer programming is required as most of the assignments and the
final project will
involve coding up algorithms and performing the associated experiments.
Topics Covered:
* Image formation and radiometry
* Camera models and calibration
* Image processing and feature analysis
* Stereo and multi-view geometry
* Motion analysis
* Surface reconstruction and 3D models
* Object recognition in 2D and 3D
* Computer vision in natural scene domains
Class Times and Lecturer:
Monday, Wednesday, Friday, 1:35-2:25pm, Trottier 1080
Frank P. Ferrie, 514-398-6042, frank.ferrie at mcgill.ca 


Jennifer Chew
McConnell Brain Imaging Centre
MNI - WB317
3801 University Street
Montreal, Qc  H3A 2B4
Telephone:  514-398-8554
Fax:  514-398-2975