Catalogue of Modules, University of Nottingham

G54VSA Vision Systems and Applications
(Last Updated:03 May 2017)

Year  11/12

Total Credits: 10

Level: Level 4

Target Students:  Specialist MSc and Part III undergraduate students in the School of Computer Science. Also available to Part II undergraduate students in the School of Computer Science subject to Part I performance. Also available to students from other Schools with the agreement of the module convenor.  Available to JYA/Erasmus students.

Availability:  Not Available in the 2017/18 academic session.

Taught Semesters:

Spring Assessed by end of Spring Semester 

Prerequisites: Or equivalent programming (eg G51PRG up to 2009/10) and image processing experience. Background knowledge of computer vision an advantage, for example G53VIS

G52IIP Introduction to Image Processing 
G51OOP Object-Oriented Programming 

Corequisites:  None.

Summary of Content:  

This module is part of the Graphics and Vision theme in the School of Computer Science.

This module examines and provides practical experience of the design, construction and evaluation of computer vision systems. Computer vision finds application in a wide variety of domains, including interactive systems, media and games, robotics and automation, document processing, surveillance and the natural sciences. This module emphasizes practical work, with students constructing a real application in one of these areas. Topics covered include: current applications, frameworks and toolkits, vision system requirements and limitations, evaluation tools and methodologies.

Method and Frequency of Class:

ActivityNumber Of WeeksNumber of sessionsDuration of a session
Lecture 11 weeks1 per week1 hour
Tutorial 11 weeks2 per week1 hour

Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

Further Activity Details:
Practical problems tackled in coursework assignments. Guided reading will also be used to cover some of the topics. Tutor led hours 22, student directed hours 25, assessment/revision 28.

Method of Assessment: 

Assessment TypeWeightRequirements
Coursework 1 30 Written report (2,500 words) on proposed design of vision system 
Coursework 2 20 15 minute Presentation and Demo of final system 
Coursework 3 50 Written report (5,000 words) on final system, including evaluation 

Professor T Pridmore
Dr P Blanchfield

Education Aims:  To provide grounding in current research areas of computer vision. To give experience in implementing computer vision algorithms.

Learning Outcomes:  
Knowledge and Understanding:
Understanding of the strengths, weaknesses and applicability of current techniques in image processing and computer vision.
An appreciation of the range of current and likely future applications of computer vision.
Experience in designing and implementing computer vision systems.

Intellectual Skills:
Apply knowledge of computer vision techniques to particular tasks.
Evalutate and compare competing approaches to vision tasks.
Evaluate vision systems.

Professional Skills:
Develop a working knowledge of image processing algorithms and libraries and evaluate the applicability of various algorithms and operators to particular tasks.

Transferable Skills:
Apply knowledge of the methods and approaches presented to problem domains use the available resources (libraries, internet, etc) to supplement the course material.

Offering School:  Computer Science

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