|Module Title||COMPUTER VISION|
|Co-ordinator||Dr Frederic Labrosse|
|Other staff||Dr Yonghuai Liu, Professor Mark H Lee, Mr David J Smith, Dr Frederic Labrosse|
|Course delivery||Lecture||20 Hours.|
|Seminars / Tutorials||2 Hours.|
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.
|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.|
|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.|
This module is at CQFW Level 6