Computer Vision

Module overview

The challenge of computer vision is to develop a computer based system with the capabilities of the human eye-brain system. It is therefore primarily concerned with the problem of capturing and making sense of digital images. The field draws heavily on many subjects including digital image processing, artificial intelligence, computer graphics and psychology. This course will explore some of the basic principles and techniques from these areas which are currently being used in real-world computer vision systems and the research and development of new systems.

Aims and Objectives

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

Current approaches to image formation and image modelling
Human and computer vision systems
Current approaches to basic image processing and computer vision

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

Develop and evaluate solutions to problems in computer vision
Analyse and design a range of algorithms for image processing and computer vision

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

Implement basic image processing algorithms

Learning and Teaching

Study time
Type	Hours
Revision	10
Wider reading or practice	55
Lecture	24
Follow-up work	12
Tutorial	12
Preparation for scheduled sessions	12
Completion of assessment task	25
Total study time	150

Resources & Reading list

Textbooks

Sonka, Hlavac & Boyle (2008). Image Processing, Analysis and Machine Vision. PWS Publishing.

Stockman and Shapiro (2001). Computer Vision. Prentice Hall.

Gonzalez et al (2008). Digital Image Processing. Pearson.

Nixon, M.S. and Aguado, A.S. (2012). Feature Extraction & Image Processing. Academic Press.

Assessment

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Continuous Assessment	40%
Final Assessment	60%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Set Task	100%

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Breakdown
Method	Percentage contribution
Set Task	100%

Repeat Information

Repeat type: Internal & External