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Visual Information Laboratory

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Visual Information Laboratory research group

Vision science research at Bristol is at the forefront of the study of human and animal vision, artificial vision systems and image analysis. The group is embodied by the Visual Information Laboratory, which stimulates interdisciplinary research in order to promote future development of this field.

Visual Information Laboratory brings together researchers from a wide range of academic disciplines, including electrical and electronic engineering, computer science, experimental psychology, biological and medical sciences, arts and drama, with external partners such as the Bristol Eye Hospital, the Bristol Robotics Laboratory and the Machine Vision Laboratory at the University of the West of England.

The scale of Bristol Vision’s collaboration is unique in Europe and has unequalled potential for progressing vision research in its broadest sense, from perception to application.

Visual Information Laboratory currently represents a grouping of 38 permanent academic staff and some 70 researchers at Bristol working on vision and imaging research and its engineering applications. Visual Information Laboratory staff have published around 200 leading journal papers over the past five years and hold 23 editorial positions on international journals. Over the same period, they have attracted over £14 million of research income. The scale of this collaboration is unique in Europe and has unequalled potential for progressing vision research in its broadest sense, from perception to application.

Since its inception, Visual Information Laboratory has been the umbrella for many new and varied research activities. These include:

  • the modelling of camouflage and how this knowledge can improve the detection of difficult targets in an image or video
  • animal tracking and identification
  • the analysis of historical works of art
  • the study of how everyday motor behaviour is controlled by visual information
  • anatomical imaging
  • the understanding and modelling of how the central nervous system processes visual inputs
  • the development of new image quality metrics
  • behavioural analysis and tracking through imaging.

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Postgraduates