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Computer Science 525: Image Understanding II
Instructor:
David Lowe
January-April 2014.
Announcements
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Course time and location
Times: Tuesdays, Thursdays, 3:30-4:45pm
Room: Dempster 101
Course content
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
list:
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Course outline and reading list
Assignments
Prerequisites
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 or Python
will be needed to complete the homework assignments.
Requirements and Evaluation
There will be 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 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.
Useful links
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A Brief Introduction to Matlab for Computer Vision. A quick
list of Matlab commands to review.
- The
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forget that there are still many papers, including key historical
references, that need to be physically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.
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Visual illusions. Collection of many visual illusions with pointers
to papers that explain the causes.
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