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2012/13 Taught Postgraduate Module Catalogue

COMP5430M Vision

15 creditsClass Size: 50

Module manager: Professor David Hogg
Email: D.C.Hogg@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2012/13

This module is mutually exclusive with

COMP3300

Computer Vision

This module is not approved as an Elective

Objectives

On completion of this module, students should be able to:
- demonstrate an understanding of the principal ideas, applications and techniques of computer vision, including the role of machine learning;
- demonstrate an understanding of the problems and solutions adopted in some of its main application areas;
- apply the theoretical knowledge gained in the module to the design of vision systems for solving specific problems.

Syllabus

Introduction to computer vision; image representation; review of image processing; segmentation; feature extraction; shape and intensity characterisation; geometry of projection and co-ordinate transformations; binocular and motion stereo; surface reconstruction; object recognition and tracking; qualitative spatial reasoning, case studies from research within the school.

Teaching methods

Delivery type	Number	Length hours	Student hours
Class tests, exams and assessment	1	2.00	2.00
Lecture	22	1.00	22.00
Private study hours			126.00
Total Contact hours			24.00
Total hours (100hr per 10 credits)			150.00

Private study

Taught session prep: 22 hours;
Taught session follow-up: 44 hours;
Self-directed study: 25 hours;
Assessment activities: 35 hours.

Opportunities for Formative Feedback

Attendance and formative assessment.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Departmental	40.00
Total percentage (Assessment Coursework)		40.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams

Exam type	Exam duration	% of formal assessment
Open Book exam	2 hr 00 mins	60.00
Total percentage (Assessment Exams)		60.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 20/03/2013

Disclaimer

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