Computer Science 525: Image Understanding II
Course time and location
Times: Mondays, Wednesdays, 2:00-3:30pm
Room: Dempster 101
This is a second-semester course on computer vision that covers some
of the latest research in this rapidly developing field.
The list of topics and readings is given in the following
Course outline and reading list
This is the second course in a two-semester squence.
You must have taken CPSC 505 (Image Understanding I) prior to
taking CPSC 525.
Familiarity with Matlab
will be needed to complete the homework assignments.
Requirements and Evaluation
There will be one or two initial programming assignments. In addition, each
student will be expected to complete an individual research project in
some area of computer vision.
A written project proposal will be required midway through the course as
well as a final written project report.
Each student will also have the option to give a
final project presentation to the class.
Grading will be weighted roughly
as follows: 25% homeworks; 10% class participation,
20% project proposal; 45% final project report.
A Brief Introduction to Matlab for Computer Vision. A quick
list of Matlab commands to review.
Computer Vision Industry. This is a page that I maintain
to show current commercial applications of computer vision and to
provide links to company home pages.
- Google Scholar
is a citation index that provides links to online versions of most
papers and shows which other papers cite them.
- UBC Library. Don't
forget that there are still many papers, including key historical
references, that need to be physically
obtained from the library.
Visual illusions. Collection of many visual illusions with pointers
to papers that explain the causes.
The Fundamental Matrix Song. Everything you need to know about the fundamental
matrix in a 3 minute song on YouTube.