University of Bristol

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

VILSS: Human Action Recognition and Detection from Noisy 3D Skeleton Data

Mohamed Hussein, Egypt-Japan University of Science and Technology Human action recognition and human action detection are two closely related problems. In human action recogniton, the purpose is to determine the class of an action performed by…

Terrain analysis for biped locomotion

Numerous scenarios exist where it is necessary or advantageous to classify surface material at a distance from a moving forward-facing camera. Examples include the use of image based sensors for assessing and predicting terrain type…

Mitigating the effects of atmospheric turbulence on surveillance imagery

Various types of atmospheric distortion can influence the visual quality of video signals during acquisition. Typical distortions include fog or haze which reduce contrast, and atmospheric turbulence due to temperature variations or aerosols. An effect…

Computer Assisted Analysis of Retinal OCT Imaging

Texture-preserving image enhancement for Optical Coherence Tomography This project developed novel image enhancement algorithms for retinal optical coherence tomography (OCT). These images contain a large amount of speckle causing them to be grainy and of…

VILSS: Global description of images. Application to robot mapping and localisation

VILab Seminar with speaker Luis Payá from Miguel Hernández University, Spain

Deep Driving: Learning Representations for Intelligent Vehicles

Together with University of California at Berkeley, University of Jenna, NICTA and Daimler we are organising a workshop in representation learning at the IEEE Intelligent Vehicles Symposium in Gothenburg, Sweden. Vision is a rich and…

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