Unit information: Image Processing and Computer Vision in 2018/19

Unit name	Image Processing and Computer Vision
Unit code	COMS30121
Credit points	10
Level of study	H/6
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

Description including Unit Aims

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, laboratory sessions and self-study. For each topic, we will cover the underlying theory, the practical challenges, important algorithms and example applications. Practical implementation work will be conducted alongside in small groups throughout the unit using for instance C/C++ and OpenCV.

Intended Learning Outcomes

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. Laboratory classes and project work will have exposed you to technology and software used in image analysis and manipulation.

Teaching Information

A weekly lecture, seminar and labs (which should be at least 2 hours long)

Assessment Information

Examination 50%, Practical Assignments 50%

Reading and References

- Sonka, Milan, Vaclav Hlavac, and Roger Boyle. Image processing, analysis, and machine vision. Cengage Learning, (2014).