Module Information
Course Delivery
| Delivery Type | Delivery length / details |
|---|---|
| Lecture | 18 Hours. |
| Practical | 2 x 1hr workshops |
Assessment
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Exam | 2 Hours Written Exam open notes - 5 pieces of A4 paper (double sided) | 70% |
| Semester Assessment | A 2000 words essay on a method described in a scientific paper | 30% |
| Supplementary Exam | 2 Hours Supplementary Exam open notes - 5 pieces of A4 paper (double sided) | 100% |
Learning Outcomes
On successful completion of this module students should be able to:
1. Express a consolidated and extended understanding and knowledge of Computer Vision techniques.
2. Compare, critically evaluate and discuss competing methods.
3. Explain the problems, techniques and difficulties associated with the different areas of Computer Vision.
4. Describe a method of solving a problem in Computer Vision and design experiments to evaluate that method in a scientific manner.
Brief description
The module will introduce the subject of Computer Vision in the context of robotics, in particular mobile and industrial robotics. It will start with low-level vision such as edge detection, feature detection, and segmentation. Intermediate vision will describe various techniques to infer 3 dimensional information from images. Some high-level techniques will be introduced
Content
What is Computer Vision? Different paradigms will be presented (Marr, purposive, qualitative and active).
Image formation (1 lecture)
Imaging geometry, radiometry, digitisation
Edge and feature detection (4 lectures)
Edge formation and detection. Features in images and their detection. Grouping of features.
Shape from X (3 lectures)
Shading, texture, occlusion.
Binocular vision (4 lectures)
Stereo, correspondence, 3D
Motion (3 lectures)
Motion detection, optic flow, structure from motion.
High-level vision (3 lectures)
Object representation and recognition.
Module Skills
| Skills Type | Skills details |
|---|---|
| Communication | Written communication will be developed through the writing of the essay. |
| Improving own Learning and Performance | The coursework and the compulsory pre-specified examination question will encourage and help students to develop and improve their individual learning skills. |
| Problem solving | Thinking through and designing a computer vision system involves the application of problem solving skills. |
| Research skills | Students will be given reading material that will need to be complemented depending on their knowledge and desire/needs to know more for the coursework. The written examination will contain a compulsory question on a pre-specified subject. |
Reading List
General TextForsyth, David. (2003.) Computer vision :a modern approach /David A. Forsyth, Jean Ponce. Prentice Hall Primo search Marr, David (c1982.) Vision :a computational investigation into the human representation and processing of visual information /David Marr. W.H. Freeman Primo search Morris, Tim (2004.) Computer vision and image processing /Tim Morris. Palgrave Macmillan Primo search
Notes
This module is at CQFW Level 6