CS3VI18-Visual Intelligence

Module Provider: Computer Science
Number of credits: 10 [5 ECTS credits]
Level:6
Terms in which taught: Spring term module
Pre-requisites: CS1MA16 Mathematics for Computer Science or MA1LA Linear Algebra
Non-modular pre-requisites:
Co-requisites: CS3IA16 Image Analysis
Modules excluded:
Current from: 2020/1

Module Convenor: Prof James Ferryman

Email: j.m.ferryman@reading.ac.uk

Type of module:

Summary module description:

This module covers the topics of visual perception and computer vision.

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.

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.

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, knowledge of geometric-based vision and appearance-based vision;


• knowledge of application of computer vision including generic object recognition, cognitive computer vision and computational vis ual surveillance.

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).

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures		18
Tutorials		5
Guided independent study:		77
Ìý	Ìý	Ìý	Ìý
Total hours by term	0		0
Ìý	Ìý	Ìý	Ìý
Total hours for module	100

Summative Assessment Methods:

Method	Percentage
Written exam	70
Set exercise	30

Summative assessment- Examinations:

One 2-hour examination paper in May/June.

Summative assessment- Coursework and in-class tests:

One programming based coursework (written report 30%).Ìý

Formative assessment methods:

Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late:

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (or part thereof) following the deadline up to a total of five working days;
• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at:
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:

A mark of 40% overall.

Reassessment arrangements:

One 2-hour examination paper in August/September.Ìý Note that the resit module mark will be the higher of (a) the mark from this resit exam and (b) an average of this resit exam mark and previous coursework marks, weighted as per the first attempt (70% exam, 30% coursework).

Additional Costs (specified where applicable):

Cost	Amount
Required text books	Ìý
Specialist equipment or materials	Ìý
Specialist clothing, footwear or headgear	Ìý
Printing and binding	Ìý
Computers and devices with a particular specification	Ìý
Travel, accommodation and subsistence	Ìý

Last updated: 16 April 2020