CE316-6-SP-CO:
Computer Vision
2025/26
Computer Science and Electronic Engineering (School of)
Colchester Campus
Spring
Undergraduate: Level 6
Current
Monday 12 January 2026
Friday 20 March 2026
15
05 September 2024
Requisites for this module
(none)
(none)
(none)
(none)
(none)
BENGH615 Robotic Engineering,
BENGH616 Robotic Engineering (Including Year Abroad),
BENGH617 Robotic Engineering (Including Placement Year),
BENGH618 Robotic Engineering (Including Foundation Year),
BSC H717 Robotics,
BSC H718 Robotics (including Placement Year),
BSC H719 Robotics (including Year Abroad),
BSC I400 Artificial Intelligence,
BSC I401 Artificial Intelligence (Including Foundation Year),
BSC I402 Artificial Intelligence (including Placement Year),
BSC I403 Artificial Intelligence (including Year Abroad)
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.
By the end of this module, students will be expected to be able to:
- Describe the principles and main methods for computer vision.
- Explain, on examples of visual data, how some methods facilitate aspects of two-dimensional vision.
- Explain, on examples of visual data, how some methods facilitate aspects of three- dimensional vision.
- 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.
This module will be delivered via:
- 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 |
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 September (Reassessment Period)
|
Additional coursework information
The Lab Tests require access to lecture and lab material.
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
Yes
No
Yes
Dr Shadan Khan Khattak
Cardiff Metropolitan University
Senior Lecturer
Available via Moodle
Of 78 hours, 22 (28.2%) hours available to students:
56 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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