CE866-7-SP-CO:
Computer Vision
2023/24
Computer Science and Electronic Engineering (School of)
Colchester Campus
Spring
Postgraduate: Level 7
Current
Monday 15 January 2024
Friday 22 March 2024
15
22 June 2022
Requisites for this module
(none)
(none)
(none)
(none)
(none)
MSC G40812 Intelligent Systems and Robotics
Students are not permitted to undertake this module if they have done the equivalent module of CE316 at UG level on a CSEE undergraduate course. This is because it cannot count towards your course credits. Please contact the CSEE School Office for specific advice on your module choices.
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.
Students are not permitted to undertake this module if they have done the equivalent module of CE316 at UG level on a CSEE undergraduate course. This is because it cannot count towards your course credits. Please contact the CSEE School Office for specific advice on your module choices.
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 any essential texts. To see non - essential items, please refer to the module's
reading list.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Progress Test 1 |
|
50% |
| Coursework |
Progress Test 2 |
|
50% |
| Exam |
Main exam: In-Person, Open Book (Restricted), 120 minutes during Early Exams
|
| Exam |
Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during January
|
| Exam |
Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period)
|
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Adrian Clark, email: alien@essex.ac.uk.
Dr Adrian Clark
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
No
No
Yes
Dr Marios Angelopoulos
Bournemouth University
Principal Academic
Dr Dimitrios Kanoulas
UCL
Associate Professor
Available via Moodle
Of 130 hours, 20 (15.4%) hours available to students:
108 hours not recorded due to service coverage or fault;
2 hours not recorded due to opt-out by lecturer(s), module, or event type.
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