Module Catalogues

Pattern Recognition in Computer Vision

Module Title Pattern Recognition in Computer Vision
Module Level Level 3
Module Credits 5.00
Academic Year 2021/22
Semester SEM2

Aims and Fit of Module

To introduce the basic concept of pattern recognition in computer vision.
To develop the necessary skills to carry out and report simple experiments of pattern recognition in computer vision

Learning outcomes

Students completing the module successfully should be able to:
Knowledge and Understanding
A. understand basic principles of pattern recognition in computer vision.
B. have knowledge in the areas of applications for various techniques of pattern recognition in computer vision.
Intellectual Abilities
C. formulate and define computer vision problems and to use pattern recognition methodologies to analyse and solve engineering problems.
D. design simple pattern recognition systems to achieve the specified objectives on performance, cost, etc.
Practical Skills
E. apply relevant pattern recognition techniques to a given problem.
F. develop basic image recognition software.
General Transferable Skills
G. independent learning, problem solving and design skills.

Method of teaching and learning

This module will be delivered through a combination of formal lectures and supervised laboratory sessions. There are totally five coursework that will be assigned across the semester.