CS4V10-Visual Intelligence

Module Provider: School of Systems Engineering
Number of credits: 10 [5ECTS credits]
Level: 7
Terms in which taught: Spring
Module Convenor: Dr H Wei
Pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2011/2

Email: h.wei@reading.ac.uk

Aims:
This module aims to provide students with an appreciation of human cognitive abilities in visual perception, fundamental knowledge in high level computer vision, and examples of application areas including video surveillance.

Assessable learning outcomes:
Students who complete this module will have:

basic knowledge of human perceptual skills relating to vision;
the ability to address high level issues relating to computer vision including pattern classification, geometric-based vision and appearance-based vision;
knowledge of application of computer vision including generic object recognition, cognitive computer vision and computational visual surveillance.

Additional outcomes:
C/C++ programming skills can be improved through practical work.

Outline content:
The module includes the following:

introduction to natural vision (human perception);
theory of image-based pattern classification;
geometric-based vision;
appearance-based vision;
object recognition;
applications of computer vision.

Brief description of teaching and learning methods:
Lectures supported by laboratory practicals, tutorials and a coursework assignment.

Contact hours:

Assessment:
Coursework:
One lab report reflecting various tasks regarding visual intelligence
Relative percentage of coursework : 30%

Penalties for late submission in accordance with University policy

Examinations:
One 90-minute written examination
Requirements for a pass: A mark of 40% overall

Reassessment arrangements by Examination only in August/September

Last updated: 6 April 2011