| Unit name | Image Processing and Computer Vision |
|---|---|
| Unit code | COMSM0020 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Professor. Calway |
| Open unit status | Not open |
| Pre-requisites |
COMS1006, COMS10007, COMS10008 and COMS10009 or equivalent programming experience |
| Co-requisites |
None |
| School/department | Department of Computer Science |
| Faculty | Faculty of Engineering |
The aim of this unit is to give you an introduction to computational vision: the theory, principles, techniques, algorithms and applications. The unit is structured in terms of topics, each associated to a lecture, follow-up seminar and self-study. For each topic, we will cover the underlying theory, the practical challenges, important algorithms and example applications.
At the end of the unit you will understand and be able to apply basic theoretical concepts and practical techniques used in image processing and computer vision.
Lectures and seminars
Examination
Sonka, Milan, Vaclav Hlavac, and Roger Boyle. Image processing, analysis, and machine vision. Cengage Learning, (2014).
