Computer vision

We analyse images and related data in order to understand their content, manipulate them, and make decisions.

Images have become ubiquitous in recent years, and their use is now incorporated in many applications covering everyday life, including scientific research and industrial manufacturing. Members of the Computer Vision group are interested and active in a variety of research and applied projects in this area.

We have extensive experience in many areas of computer vision, image and video processing. We have worked closely with the Schools of Psychology, Engineering, Dentistry, Medicine and Optometry, and have also collaborated with industrial partners such as Renishaw, Airbus, British Aerospace, Welsh Rugby Union, local Police forces, councils and health services.

Amcanion

In the future we aim to attract more high quality PhD students and more funding from UKRI and industry.

Examples of prior projects include:

machine and deep learning of imagery and video
high resolution surface reconstruction
computational archaeology
analysis of high dimensional image feature spaces
articulated human motion analysis
sports video analysis
video surveillance applications
modelling crowd behaviour
visual media quality assessment
forgery detection
visual attention modelling and applications
non-photorealistic rendering
generative image models
reflection aware visual SLAM
speech driven facial modelling and video synthesis
image registration.

Examples of applications of our research include:

visual avatar for virtual delivery of healthcare
segmentation of 3D OCT scans of retinas
the perception of trustworthiness from smiles
determining the effectiveness of surgery from facial morphology and temporal dynamics
analysing the effects of alcohol on crowd dynamics
violence digitally unrolling of fragile parchments from 3D X-ray scans analysis of birch bark manuscripts.

Funding

Project name: Integration of video realistic avatar capability into an artificial intelligence driven healthcare information platform
Funded by: KTP
Principal investigator: Professor David Marshall

Project name: A BioEngineering approach for the SAFE design and fitting of Respiratory Protective Equipment (BE-SAFE RPE)
Funded by: EPSRC
Co-principal investigators: Professor David Marshall and Professor Paul Rosin

Project name: Seeing the future

Funded by: EPSRC

Principal investigator: Professor David Marshall