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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.

Aims

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

Lead researcher

Professor Paul Rosin

Professor Paul Rosin

Professor of Computer Vision

Email
rosinpl@cardiff.ac.uk
Telephone
+44 (0)29 2087 5585

Academic staff

Dr Bailin Deng

Dr Bailin Deng

Lecturer

Email
dengb3@cardiff.ac.uk
Telephone
+44 (0)29 2087 4591
Dr Frank Langbein

Dr Frank Langbein

Senior Lecturer

Email
langbeinfc@cardiff.ac.uk
Telephone
+44 (0)29 2087 0110
Professor Yukun Lai

Professor Yukun Lai

Director of Research

Email
laiy4@cardiff.ac.uk
Telephone
+44 (0)29 2087 6353
Dr Hantao Liu

Dr Hantao Liu

Director of International
Senior Lecturer

Email
liuh35@cardiff.ac.uk
Telephone
+442920876557
Professor David Marshall

Professor David Marshall

Professor of Computer Vision

Email
marshallad@cardiff.ac.uk
Telephone
+44 (0)29 2087 5318
Dr Kirill Sidorov

Dr Kirill Sidorov

Lecturer

Email
sidorovk@cardiff.ac.uk
Telephone
+44 (0)29 2087 6925
Dr Jing Wu

Dr Jing Wu

Lecturer

Email
wuj11@cardiff.ac.uk
Telephone
+44 (0)2920 688810

Postgraduate students

Seminars from members and visitors are presented at the visual computing research seminar series.