Robot vision

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Vision is a key ability in the natural world, and by equipping robots with visual skills, we give them an important tool for understanding, and extracting information from real world environments.

Robotics also offers exciting opportunities for extending more traditional lines of computer vision research, as robotic systems are very often active systems, able to interact with, and alter their environments. The ability to interact with a visual scene, means that a robotic system may be able to extract more information from it than a purely passive vision system would be able to.

The majority of the vision research is carried out in the Centre for Machine Vision, which also researches a range of related areas such as medical 3D imaging, vision-based security and industrial inspection.

MOET: Manipulation of Objects for the Extraction of Text

MOET: Manipulation of Objects for the Extraction of Text

A system which can detect and identify any text on rigid objects.

Text-IVu Dataset

Text-IVu Dataset

Text-IVu is a publicily available dataset containing 453 Images (403 Test Images and 50 Training Images) designed to represent the point of view from a human or humanoid robotic user in everyday scenes.

Centre for Machine Vision Projects

4D Capture - Moving Video

4D Capture - Moving Video

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.

Stealthy object detection and recognition

Stealthy object detection and recognition

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.

Novel Non-invasive Assessment of Respiratory Function (NORM)

Novel Non-invasive Assessment of Respiratory Function (NORM)

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.

PhotoFace: Face recognition using photometric stereo

PhotoFace: Face recognition using photometric stereo

High-speed photometric stereo used to rapidly capture 3D facial geometry and perform automatic recognition and extract detailed reflectance data about the skin.

Using 3D facial asymmetry in better diagnosis and treatment of plagiocephaly

Using 3D facial asymmetry in better diagnosis and treatment of plagiocephaly

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.

Application of photometric stereo in dermatology

Application of photometric stereo in dermatology

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.

Quality control of specular ceramic materials

Quality control of specular ceramic materials

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.

Theme Leader

Centre for Machine Vision

Professor Melvyn Smith
Bristol Robotics Laboratory,
University of the West of England,
Frenchay Campus, T Building,
Coldharbour Lane,
Bristol, BS16 1QY
Tel: +44 (0)117 32 86358
E-mail: Melvyn.Smith@uwe.ac.uk

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Page last updated 21 February 2014

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