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: 2020/1

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.


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

Summative Assessment Methods:
Method Percentage
Project output other than dissertation 100

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

One programming based coursework (project).  Contributes 100% of total module mark.


Formative assessment methods:

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Assessment requirements for a pass:

A mark of 50% overall.


Reassessment arrangements:

One 2-hour examination paper in August/September. 


Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 16 April 2020

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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