Department of Computer Science
Computer Vision
 



Computer Vision has now merged with Signal Processing to become the Visual Information Laboratory.
This site is no longer updated.


Projects

Visual SLAM Visual SLAM
Simultaneous localisation and mapping
Andrew Calway, Walterio Mayol-Cuevas, Denis Chekhlov, Andrew Gee, Jose Martinez Carranza
Generic motion based object segmentation for assisted navigation Generic motion based object segmentation for assisted navigation
CASBliP - Computer Aided System for the Blind
Sion Hannuna, Majid Mirmehdi
ViewNet ViewNet
Context enhanced networked services by fusing mobile vision and location
Andrew Calway, Walterio Mayol-Cuevas, Ponciano Escamilla-Ambrosio
Situation awareness through hand behaviour analysis Situation awareness through hand behaviour analysis
Sudeep Sundaram, Walterio Mayol-Cuevas
Towards Robust Real-time Visual SLAM Towards Robust Real-time Visual SLAM
Denis Chekhlov, Walterio Mayol, Andrew Calway
Fast and robust local feature detectors Fast and robust local feature detectors
Mosalam Ebrahimi, Walterio Mayol-Cuevas
Taking SLAM Outdoors: mapping and viewing the world Taking SLAM Outdoors: mapping and viewing the world
Osian Haines, Andrew Calway
In-situ interactive model building In-situ interactive model building
Pished Bunnun, Walterio Mayol-Cuevas
Analysis of Moth Camouflage Analysis of Moth Camouflage
David Gibson, Neill Campbell
Active contours Active contours
Majid Mirmehdi, Xianghua Xie, Ronghua Yang
Exploratory Analysis in phMRI Exploratory Analysis in phMRI
John McGonigle, Majid Mirmehdi
Robust visual SLAM using higher-order structure Robust visual SLAM using higher-order structure
Jose Martinez Carranza, Andrew Calway
Spot The Penguin: non-invasive field biology Spot The Penguin: non-invasive field biology
Tilo Burghardt, Neill Campbell, Richard Sherley
Human Pose Estimation using Motion Human Pose Estimation using Motion
Ben Daubney, David Gibson, Neill Campbell
Realtime Scene Text Understanding Realtime Scene Text Understanding
Majid Mirmehdi
On-line Learning of Shape Information On-line Learning of Shape Information
John Chiverton, Majid Mirmehdi, Xianghua Xie
Visual Saliency Visual Saliency
Nishan Canagarajah
Detect defectection in digitized archive film Automatic quality improvement of archived film and video
Xiaosong Wang, Majid Mirmehdi

Computer Vision Group
Dept of Computer Science,
University of Bristol

For more information about our work or opportunities to join or visit the group, email vision at cs.bris.ac.uk


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