JONATHON GIBBS Jonathon.Gibbs1@nottingham.ac.uk
Research Fellow
Three-dimensional reconstruction of plant shoots from multiple images using an active vision system
Gibbs, Jonathon; Pound, Michael P.; Wells, Darren M.; Murchie, Erik H.; French, Andrew P.; Pridmore, Tony P.
Authors
MICHAEL POUND Michael.Pound@nottingham.ac.uk
Associate Professor
DARREN WELLS DARREN.WELLS@NOTTINGHAM.AC.UK
Principal Research Fellow
Dr ERIK MURCHIE erik.murchie@nottingham.ac.uk
Professor of Applied Plant Physiology
ANDREW FRENCH andrew.p.french@nottingham.ac.uk
Professor of Computer Science
TONY PRIDMORE tony.pridmore@nottingham.ac.uk
Professor of Computer Science
Abstract
The reconstruction of 3D models of plant shoots is a challenging problem central to the emerging discipline of plant phenomics – the quantitative measurement of plant structure and function. Current approaches are, however, often limited by the use of static cameras. We propose an automated active phenotyping cell to reconstruct plant shoots from multiple images using a turntable capable of rotating 360 degrees and camera mounted robot arm. To overcome the problem of static camera positions we develop an algorithm capable of analysing the environment and determining viewpoints from which to capture initial images suitable for use by a structure from motion technique.
Citation
Gibbs, J., Pound, M. P., Wells, D. M., Murchie, E. H., French, A. P., & Pridmore, T. P. (2015). Three-dimensional reconstruction of plant shoots from multiple images using an active vision system
Journal Article Type | Article |
---|---|
Conference Name | Agri-Food Robotics Workshop |
Acceptance Date | Oct 1, 2015 |
Publication Date | 2015 |
Deposit Date | Aug 15, 2017 |
Publicly Available Date | Aug 15, 2017 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/764685 |
Publisher URL | http://library.wur.nl/WebQuery/wurpubs/508221 |
Additional Information | Published in: Proceedings of the IEEE Workshop on Agri-Food Robotics. Hamburg, Germany. October 2, 2015. doi: 10.18174/392250 |
Contract Date | Aug 15, 2017 |
Files
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