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School of Engineering and Informatics (for staff and students)

Computer Vision (G6032)

Computer Vision

Module G6032

Module details for 2021/22.

15 credits

FHEQ Level 5

Pre-Requisite

Ability to program in a procedural programming language.

Module Outline

This module introduces the field of computer vision, which enables computers to interpret image and video data. Topics include: convolutions and image processing; feature detection and description; object detection; segmentation; 3D geometry; deep convolutional neural networks. The module emphasises practical techniques and real-world applications. You will be introduced to a suitable software package.

Library

Course web pages and online teaching material
Sonka M., Hlavac V. & Boyle R. (1993) Image Processing, Analysis and Machine Vision. London: Chapman & Hall Computing.
Shapiro L.G. & Stockman G.C. (2001) Computer Vision. London etc.: Prentice Hall
Trucco E. & Verri A. (1998) Introductory Techniques for 3-D Computer Vision. Upper Saddle River NJ: Prentice Hall.
Gonzalez, R.C., Woods, R.E. & Eddins, S.L. (2004) Digital Image Processing Using Matlab. Upper Saddle River NJ: Pearson Prentice Hall.

Module learning outcomes

Write and document a computer program to extract useful information from image data.

Propose designs for simple computer vision systems.

Determine the applicability of a variety of computer vision techniques to practical problems.

Describe and recognise the effects of a variety of image processing operations.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportA2 Week 1 80.00%
Computer Based ExamT2 Week 4 (1 hour)10.00%
Computer Based ExamT2 Week 8 (1 hour)10.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLecture1 hour22222222222
Spring SemesterClass1 hour11111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Ivor Simpson

Assess convenor
/profiles/504012

Dr Peter Wijeratne

Assess convenor
/profiles/596509

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÄûÃÊÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]