Overview:
This is an introductory level course in Computer Vision, which describes the basics, the common techniques and algorithms and the open questions in the field.
The Homework include hands-on experience with some problems and algorithms.
Prerequisites:
A passing grade in an Image Processing course is required.
Recommended such courses are "Signal and Image Processing by Computer" (236327) or "Image Processing and Analysis" (046200).
Students without the prerequisite must receive the lecturer's agreement to participate in the course.
Grading Policy:
- Four equally weighted homework assignments (30%).
- Short academic paper review (5%).
- MATLAB project (15%).
- Final exam (50%).
Notes:
There will be only 8 tutorials (See information page for details).
Credit points: 3.0