PhD Opportunities
The 4D Vision project was initiated at the University of West of England in 2010 supported by HEFCE QR funding. The main goal of this project is to move existing 3D Photometric Stereo technology to the next stage and enable the capture of 3D faces in real time. In the near future, we expect to develop new imaging capabilities for high-speed and high resolution capture of facial movements, combined with robust multi-resolution analysis, realistic visualisation and fast interaction.
UWE's idea for a portable device to automatically detect and recognise potential threats to troops in war zones has succeeded under the MOD's Competition of Ideas scheme.
NORM is an NHS National Institute of Health Research project, funded under the Invention for Innovation (i4i) scheme, and began in June 2009. Since the completion of the NIHR study, ongoing research is underway with internal funding.
High-speed photometric stereo used to rapidly capture 3D facial geometry and perform automatic recognition and extract detailed reflectance data about the skin.
This is a Medical Research Council (MRC) project to research skull abnormalities in children and is in collaboration with North Bristol NHS Trust and the London Orthotic Consultancy.
A computational approach is adopted to design a device to inspect skin lesions for the presence of cancerous tissue. The device also permits teledermatology analysis for remote diagnosis.
Industry is lacking a method for the rapid and automated inspection of complex, glossy goods, especially if on-line, i.e. moving at high speed. These products still need to be inspected manually, which is labour-intensive, monotonous and expensive.
‘How’s My Cow’ is an industrial TSB funded project - in collaboration with Kingshay Farming & Conservation Ltd.
The project aims to develop novel 3D morphological analysis techniques to monitor essential health and wellbeing changes in dairy cows. The 3D data capturing mechanism is remote and non-intrusive in order to attain an automated assessment of the herd in challenging environments.
Funded by UWE Bristol's Executive Vice Chancellor, a multi-spectral, high-resolution handprint scanner has been developed. White light sources are provided to visualise the palm's detail, and infared light is used for subsurface information. This scanning device used for handprints is on the brink of commercialisation.
Livestock need to be fed more and more often. This project will link feed quality with faecal composition and consistency. The aim is to have real-time analysis of faeces for better farm and animal management.
Computer Vision homepage (CMU) including a list of computer vision labs and conference listing
CV Online (University of Edinburgh)
Annotated Computer Vision Bibliography (USC)
Computer Science Bibliography (Universitat Trier)
CiteSeer (Penn State)
Face Recognition Homepage (University of Zagreb)
Pattern Analysis and Machine Intelligence (IEEE)
Image Processing (IEEE)
Computer Vision and Image Understanding (Elsevier)
Pattern Recognition (Elsevier)
Image and Vision Computing (Elsevier)
International Journal of Computer Vision (Springer)
Professor Paul Maropoulos, LIMA at Bath
Dr Adrian Evans at University of Bath
Mr Arwyn Roberts, Technical Director at Surface Inspection Ltd
Dr Olena Doran, Director of Research Development at the Institute of Bio-sensing Technology
Systems Engineering Assessment (SEA) Ltd
The Institute of Cancer Research
Dr Ian Nettleship Dept of Mech Eng and material Science
Mr Thorgeir Helgason, Petromodel Ltd
Professor Jorge Stolfi, Institute of Computing, University of Campinas in Brazil
Tom Pelletiers, Technical Director, United States Bronze Powders Incorporated, Flemington, New Jersey, USA