| Unit name | Image Processing and Computer Vision (Teaching Unit) |
|---|---|
| Unit code | COMS30030 |
| Credit points | 0 |
| Level of study | H/6 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Dr. Pui Anantrasirichai |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
COMS10014 Mathematics for Computer Science A and COMS10013 Mathematics for Computer Science B or equivalent COMS10016 Imperative and Functional Programming and COMS10018 Object-Oriented Programming and Algorithms or equivalent programming experience. COMS20017 Algorithms and Data or equivalent. |
| Units you must take alongside this one (co-requisite units) |
EITHER COMS30081 Topics in Computer Science (Examination assessment, 20 credits). OR COMS30087 Image Processing and Computer Vision (Coursework & In-class test assessment, 20 credits). Please note: This unit is the Teaching only unit for the Image Processing and Computer Vision option. Students taking this unit choose to be assessed by EITHER the MAJOR 20 credit unit COMS30087 OR as part of the Topics in Computer Science MINOR 20 credit examination unit. Students select the form of assessment to be taken by enrolling on the appropriate co-requisite assessment unit. |
| Units you may not take alongside this one |
None |
| School/department | School of Computer Science |
| Faculty | Faculty of Engineering |
Why is this unit important?
The aim of this unit is to give you an introduction to image processing and computational vision: the theory, principles, techniques, algorithms and applications. Image processing allows the analysis and enhancement of images/videos, while computer vision facilitates the understanding of the content of images/videos. Application areas are far-reaching and wide, from data compression to measuring the quality of performing actions by humans. The techniques in image processing and computer vision may be used in autonomous driving, medical imaging, CGI, remote sensing, pedestrian behaviour analysis, facial recognition and regeneration, traffic analysis, biometrics, product quality assurance, and much more.
How does this unit fit into your programme of study
This is an optional unit that can be taken in Year 3. This positioning allows students to make use of fundamental skills and knowledge developed during the first 2 years of their study.
An overview of content
The aim of this unit is to give you an introduction to computational vision: the theory, principles, techniques, algorithms and applications. The unit is structured in terms of topics, each associated to a lecture, a follow-up Question and Answer session, laboratory sessions and self-study. For each topic, we will cover the underlying theory, the practical challenges, important algorithms and example applications. Practical implementation work will be conducted individually for those students with coursework assessment (for MAJOR unit), with lab support, using Python and the OpenCV Library.
How will students, personally, be different as a result of the unit
Students will be able to understand the importance of image processing and computer vision in relation to human sensing and understanding through seeing. Further, they will understand the challenges involved in allowing machines to make sense of what they sense visually.
Learning Outcomes
On successful completion of this unit, ALL students (both MAJOR and MINOR) will be able to:
When the unit is taken as the MAJOR 20 credit variant, students will also be able to:
3. Demonstrate ability to select, relate and apply basic theoretical concepts and practical techniques used in image processing and computer vision.
4. Have practical knowledge regarding the use and ability to apply key image analysis and manipulation software.
5. Develop basic software solutions for image analysis applications.
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, problem sheets and practical activities. If taken with MAJOR 20 credit, the unit provides weekly coursework support sessions and formative preparatory labs.
Tasks which help you learn and prepare you for summative tasks (formative):
Teaching will take place over the first 8 weeks of the term (excluding the reading week), with coursework support sessions in weeks 9-11 and consolidation and revision sessions taking place in week 12. During the taught phase of the unit, students will progress through a series of weekly problem sheet that consist of structure practical tasks, each with specific outputs and objectives. Solutions will be provided the week after for self-assessment.
Tasks which count towards your unit mark (summative):
For students taking this unit as a MINOR variant, will contribute 50% to the 20cp Topics in Computer Science exam
(equivalent to 1 hour of exam time) that will be sat during the winter examination period. This closed-book exam will assess Learning Outcomes 1 and 2.
For students taking this unit as a MAJOR variant, there will be two elements of assessment:
The use of two elements of assessment for the MAJOR variant mitigates the risk of students failing the unit, should they perform poorly in either single element of assessment.
When assessment does not go to plan
Students will retake relevant assessments in a like-for-like fashion in accordance with the University rules and regulations.
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. COMS30030).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the University Workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
