Computer Vision

Dr Richard V Aldridge,
Prof J Andrew Bangham,
Dr Jeff Berens,
Prof Graham Finlayson,
Dr Mark Fisher,
Dr Richard W Harvey,
Dr Steve Hordley,
Dr Reyer Zwiggelaar

The Computer Vision group explores how natural and artificial systems achieve and exploit visual information at higher levels in the information value hierarchy. Work has focused on two themes: sieve-based representation and colour. Sieve-based work has covered theoretical understanding of non-linear associated non-linear processing algorithms; higher-level image analysis; dialogue driven interpretation of images and image sequences and motion tracking. Colour work has developed particular expertise in colour constancy, colour correction and mathematical modelling. The group has links with Simon Fraser University, MIT Media Laboratory, INRIA Rhones Alpes and the University of York. Key computational vision results are protected by a number of patents, and are being exploited through off-campus industrial collaborators including Agfa-Gevaert, Hewlett-Packard (US) Labs, Nedgraphics Print Ltd and Silk Industries Plc., Content Technologies (now acquired by Baltimore Systems) and by UEA spin-off companies such as Segmentis.

PhD opportunities


Threads

Sieve transform and its properties
Sieve trees Toolkit
Colour perception models
Colour correction algorithms
Medical Imaging
Monitoring images for content
MPEG / MPEG7


Applications / Collaborators

Televirtual,
The Independent Television Commission,
The Radiotherapy Physics department at the Norfolk and Norwich Hospital,
Content Technologies,
L.J. Technical Systems Ltd,
Hewlett-Packard (US),
Agfa-Gevaert,
Baltimore Technology,
Segmentis Ltd