Imaging Sciences

The Imaging Sciences research group is part of the Centre for Imaging Sciences, a world-class research department focusing on imaging physics, image processing, computer vision, and the development and application of imaging biomarkers in healthcare.

The Centre offers state-of-the-art medical imaging and computing facilities on the main university campus, and access to a network of more extensive research imaging facilities managed in collaboration with the University of Manchester Biomedical Imaging Institute and the NHS.

Through the Imaging Sciences group, the Centre has close links with the School of Computer Science, as well as with University teaching hospitals. The multidisciplinary nature of the research means that many projects involve collaboration with colleagues in other disciplines in the Faculty of Medical and Human Sciences, and the Faculty of Life Sciences.

The Centre's research activities combine expertise in the domains of physics, mathematics, computing, bioscience and clinical medicine to develop new ideas and applications.

 Visit the group website.

Spotlight

Face recognition and visual processing

Face recongnition
Prof Tim Cootes' face recognition project

This research area is concerned with the understanding and synthesis of face images by both machines and humans. A core component of the work of the group is in developing statistical models of the appearance and behaviour of human faces in image sequences. Such models can be matched to new image sequences, and the resulting model parameters further analysed to estimate the identity, expression and facial behaviour of the individual in the sequence.

This project currently focuses on:

  • Development of statistical models of facial appearance and behaviour
  • Development of efficient algorithms to match such models to images and image sequences
  • Development of face recognition algorithms using such models 

Professor Cootes heads the Faces group within Imaging Sciences, and has a long history of developing and applying statistical models of appearance to many different problems. 

Affiliated group members

Prof Chris Taylor

Staff Profile

Prof Chris Taylor

Chris is the Associate Vice President Research at the University, a Professor in the School of Computer Science and Director of Manchester Informatics.

His research into image analysis of high-resolution images has had a wide range of medical and manufacturing commercial applications including an automatic chromosome analysis system, an asbestos counting system adopted by the Health and Safety Executive, and the technology for printed circuit board inspection. Chris's work has influenced computer-aided mammographic screening development both nationally and internationally.

Research interests: Neuro image analysis, drug discovery and development, natural human-computer interaction - faces, computer-aided mammography, radiology workbench, and MIAS Grid - an e-Science workbench for medical imaging research.

Awards: Chris was awarded an OBE for services to Health and Foresight in 2000. He is a Distinguished Fellow of the British Machine Vision Association (2003) and a Distinguished Fellow of the International Association for Pattern Recognition (2004).

 

  • Prof Chris Taylor's page.
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