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About Us

The Visual Information Laboratory of the University of Bristol exists to undertake innovative, collaborative and interdisciplinary research resulting in world leading technology in the areas of computer vision, image and video communications, content analysis and distributed sensor systems. VI-Lab was formed in 2010, merging the two well established research groups, Signal Processing (EEEng) and Computer Vision (CS). The two constituent groups offer shared and complementary strengths and, with a history of successful collaboration since 1993, their merger has created one of the largest groupings of its type in the UK.

BVISS: Pattern Recognition without Features or Training

Professor Fred Stentiford – UCL Pattern recognition is usually implemented through the use of a selected set of plausible features that characterise the data being studied. In addition it is also necessary to identify a…

BVISS: Augmenting vision, the easy and the hard way

Dr Stephen Hicks – Oxford University – Research Fellow in Neuroscience and Visual Prosthetics, Nuffield Department of Clinical Neurosciences Mobile computing, augmented reality, deep learning. Consumer-grade devices are coming of age with a dazzling array…

BVI Seminar, Filipe Cristino, Bangor University

Seminar title, abstract and biography to be announced

BVI Seminar: Attentional selection of colour is determined by both cone-based and hue-based representations

Jasna Martinovic, University of Aberdeen What is the nature of representations that sustain attention to colour? In other words, is attention to colour predominantly determined by the low-level, cone-opponent chromatic mechanisms established at subcortical processing…

BVI Seminar: Eye Movements in Low and Normally Sighted Vision

Brian Sullivan, University of Bristol, School of Experimental Psychology  I will present two studies examining human eye movements and discuss my role at the University of Bristol. The first study concerns patients with central vision loss who…

BVI Seminar: Psychophysical probes into spatial vision: you ain’t seen nothin’ yet.

Tim Meese, School of Life and Health Sciences, Aston University. Everyone knows what cosmologists do: they gaze out into the sky to see the secrets of what’s out there, matching observations with theory to understand how…

Computational cameras

A novel close-to-sensor computational camera has been designed and developed at the ViLab. ROIs can be captured and processed at 1000fps; the concurrent processing enables low latency sensor control and flexible image processing. With 9DoF…

BVI Seminar: The effectiveness of camouflage; predator learning and new modelling approaches

Jolyon Troscianko, Exeter University Abstract: Evading detection is crucial for the survival of many animals, and number of different means of achieving camouflage have been discovered. I will discuss my recent work investigating whether some…

Errata and Corrections – The Visibility of Motion Artifacts and their Effect on Motion Quality

This paper was presented at the “IEEE International Conference on Image Processing (ICIP)”, Phoenix, USA, 2016, and is available on IEEE Xplore An updated version of the paper, which includes corrections, can be downloaded here

Best poster award for SEMBED at BMVA summer school

Second best paper award at the British Machine Vision Association (BMVA) summer school

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