Computer-based analysis of images to extract information and classify their contents is becoming increasingly important in all walks of life. For example, by combining the science of 'photogrammetry' (measurement using cameras) with digital camera technology it becomes possible to capture 3D models of people, animals and objects that are metrically accurate and photo-realistic in appearance. Furthermore, it is possible to analyse and animate these models by computer for applications such as virtual actors or sports science.
The Computer Vision and Graphics group, CVG, in the Department of Computing Science, investigates fundamental issues of how to analyse images and also how apply this knowledge within practical applications. Our projects cover all aspects of human body modelling in 3D, including animation and surface skin modelling. This approach opens a wide array of application areas such as; creative media, engineering, medicine, textiles & clothing, military & security, internet & communications, forensic and fine art. A key objective of the work of the group is to combine 3D measurement and modelling techniques with image understanding approaches to construct cognitive robot vision systems that actively search their operating environments using passive digital cameras.
Academic Staff: Dr W Paul Cockshott, Dr J. Paul Siebert.
Honoary Research Fellow: Dr John W Patterson.
Research Assistants: Dr Gerardo Aragon Camarasa, Miss Susanne B Oehler, Mr Euan Strachan
Research Students: Mr Ala Al-afeef, Mr Aamir Khan, Ms Yuan Liu, Mrs Maha Maabar, Mr Finlay McCourt, Ms Samantha Mulholland, Ms Susanne Oehler, Mr Michael Reifserscheidt, Mr Li Sun, Ms Tian Xu