Dr David Gibson

Summary

Research:

• The Computer Vision Group.
• The Quick-Sketch Project.
• Generation of 3D models from a sequence of images.
• After completing my PhD I worked on the AutoArch project (power point which includes some previous work).
• The MotionRipper project (this site is maintained by 3CResearch).
• Part of the MotionRipper work includes the motion capture of insects.
• Publications

Keywords

• computer vision
• 3D models

Memberships

Organisations

Department of Computer Science

Other sites

• Computerscience

Research Groups

• Visual Information Laboratory

Recent publications

• Michalis, C, Scott-Samuel, NE, Gibson, DP & Cuthill, IC, 2017, ‘Optimal background matching camouflage’. Proceedings of the Royal Society B: Biological Sciences, vol 284.
• Gibson, D, Burghardt, T, Campbell, N & Canagarajah, N, 2015, ‘TOWARDS AUTOMATING VISUAL IN-FIELD MONITORING OF CROP HEALTH’.
• Gibson, DP, Muller, H, Campbell, NW & Bull, D, 2012, ‘Adaptive Sampling for Low Latency Vision Processing’. in: Asian conference on Computer Vision : Workshop on Computational Photography and Low-Level Vision., pp. 194-205
• Gibson, DP, Muller, HL & Campbell, NW, 2012, ‘Adaptive Image Sensor Sampling for Limited Memory Motion Detection.’. in: Pervasive and Embedded Computing and Communication Systems.
• Daubney, B, Gibson, D & Campbell, N, 2011, ‘Estimating Pose of Articulated Objects using Low-Level Motion’. Computer Vision and Image Understanding, vol 116., pp. 330 - 346
• Hill, P, Bull, D, Achim, A & Gibson, D, 2010, ‘Automatic SAS target recognition using region based features, SVM, and adaptive boosting’. in: International Conference on Synthetic Aperture Radar and Synthetic Aperture Sonar 2010 (SAR/SAS 2010), Lerici, Italy.
• Daubney, B, Gibson, D & Campbell, N, 2009, ‘Monocular 3D Human Pose Estimation using Sparse Motion Features’. in: IEEE worshop on Tracking Humans for Evaluation of their Motion in Image Sequences 2009 - Held in conjunction with ICCV.
• Daubney, B, Gibson, D & Campbell, N, 2008, ‘Estimating Gait Phase using Low-Level Motion’. IEEE Workshop on Motion and Video Computing., pp. -
• Daubney, B, Gibson, D & Campbell, N, 2008, ‘Real Time Pose Estimation of Articulated Objects using Low-Level Motion’. in: IEEE International Conference on Computer Vision and Pattern Recognition.
• Daubney, B, Gibson, D & Campbell, N, 2008, ‘Using Low-Level Motion to Estimate Gait Phase’. in: International Conference on Computer Vision Theory and Applications.

View complete publications list in the University of Bristol publications system