CE316-6-PT-CA:
Computer Vision

The details
2020/21
Computer Science and Electronic Engineering (School of)
Colchester Campus & Apprenticeship Location
Spring Special
Undergraduate: Level 6
Current
Sunday 17 January 2021
Friday 02 July 2021
15
30 July 2020

 

Requisites for this module
(none)
(none)
(none)
(none)

 

CE866

Key module for

(none)

Module description

This module provides an understanding of the principles and main methods for computer vision, and with practical experience of solving simple computer vision tasks. The principles and main methods of computer vision will be explained along with examples of visual data and how some methods facilate aspects of two/three-dimensional vision. Students will write computer programs to solve vision tasks.

Module aims

The aim of this module is to provide students with an understanding of the principles and main methods for computer vision, and with practical experience of solving simple computer vision tasks.

Module learning outcomes

After completing this module, students will be expected to be able to:

1. Describe the principles and main methods for computer vision.
2. Explain, on examples of visual data, how some methods facilitate aspects of two-dimensional vision.
3. Explain, on examples of visual data, how some methods facilitate aspects of three- dimensional vision.
4. Write computer programs to solve simple vision tasks.

Module information

Outline Syllabus

Image formation, image enhancement and filtering, colour representations, edge detection, corner detection, circle detection, region growing, image segmentation, features and object recognition. Faces.

Stereopsis and depth reconstruction, target tracking, statistical shape models, computer vision system evaluation.

Learning and teaching methods

Lectures and Laboratories

Bibliography

This module does not appear to have a published bibliography.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Progress Test 1 - Week 21    20% 
Coursework   Progress Test 2 - Week 25    20% 
Coursework   Assignment 1 - Week 24  18/03/2021  60% 

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
Dr Adrian Clark, email: alien@essex.ac.uk.
Dr Adrian Clark, Dr Alba Garcia Seco De Herrera
School Office, email:csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770

 

Availability
No
No
No

External examiner

Dr Robert John Watson
University of Bath
Senior Lecturer
Resources
Available via Moodle
Of 645 hours, 72 (11.2%) hours available to students:
573 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information

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