CSMVI16-Visual Intelligence

Module Provider: Computer Science
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded: CS3VI18 Visual Intelligence
Current from: 2021/2

Module Convenor: Prof James Ferryman
Email: j.m.ferryman@reading.ac.uk

Type of module:

Summary module description:

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.

This module also encourages students to develop a set of professional skills, such as problem solving, critical analysis of published literature, creativity, technical report writing for technical and non-technical audiences, self-reflection and effective use of commercial software.

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:

• the knowledge of human perceptual skills relating to vision;


• the ability to address high level issues relating to computer vision including pattern classification; knowledge of geometric-based vision and appearance-based vision;


• knowledge of application of computer vision including generic object recognition, cognitive computer vision and computational visual surveillance;


• the ability to critically apply appropriate computer vision methods in application domains.

This module will be assessed to a greater depth than the excluded module CS3VI18.Ìý

Additional outcomes:

Improved programming skills and applied computer vision 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 (project).Ìý

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

Up to two programming based coursework assignments and one research study task totalling 100% of the module mark.

Formative assessment methods:

Penalties for late submission:

The below information applies to students on taught programmes except those on Postgraduate Flexible programmes. Penalties for late submission, and the associated procedures, which apply to Postgraduate Flexible programmes are specified in the policy 􀀓Penalties for late submission for Postgraduate Flexible programmes􀀔, which can be found here: