CE316-6-PT-CA:
Computer Vision
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
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.
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.
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.
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.
Lectures and Laboratories
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
Reassessment
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
No
No
No
Dr Robert John Watson
University of Bath
Senior Lecturer
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).
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