COMP-766: Shape Analysis in Computer Vision
Timings: T/Th: to be determined
Room: McConnell 320
Office Hrs: W: 09:00 am - 10:30 noon
This course is being offered for the first time in 5 years
during the Winter 2009-2010 term. I used to teach it regularly before then.
Object shape lies at the interface between vision and cognition, yet,
truly general purpose theories of shape for applications in industry,
bio-medicine, and robotics, have been notoriously difficult to
formulate. In this research seminar we shall attempt to articulate the
critical aspects of such a theory. The course will emphasize the
interdisciplinary nature of the problem, drawing on insights from
diverse areas ranging from psychology to singularity theory and
classical mechanics. Topics to be covered include (but are not limited
to): early vision, curve inference and fragment grouping, variational
methods, geometric scale spaces, curve and surface evolution, level set
techniques, shape segmentation, shape matching, object recognition.
The course will be organized around lectures as well as discussions of
journal arcticles and papers which will be distributed on a weekly
basis. Students will be expected to prepare short (2 page)
critical summaries of selected articles and to participate actively in class.
Whereas there is no assigned textbook, relevant reference material
will be placed on reserve in the physical sciences and engineering
library. Some background in differential equations, differential
geometry and linear algebra will be helpful. A
significant aspect of this course will be an independent
research project, carried out in consultation with the instructor, on
which each student will be expected to make a presentation at the end
of the term.
Student Guide to Avoid Plagiarism
Recent Research Projects
Below is a set of links to some of the research projects completed
by students who took this course last year. I am grateful to them
for making this material available.