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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

DARREN WELLS DARREN.WELLS@NOTTINGHAM.AC.UK
Principal Research Fellow

Dr ERIK MURCHIE erik.murchie@nottingham.ac.uk
Professor of Applied Plant Physiology

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.

Journal Article Type Article
Publication Date 2015
Peer Reviewed Peer Reviewed
APA6 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
Publisher URL http://library.wur.nl/WebQuery/wurpubs/508221
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Published in: Proceedings of the IEEE Workshop on Agri-Food Robotics. Hamburg, Germany. October 2, 2015. doi: 10.18174/392250

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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