Three-dimensional reconstruction of plant shoots from multiple images using an active vision system

Gibbs, Jonathon and Pound, Michael P. and Wells, Darren M. and Murchie, Erik H. and French, Andrew P. and Pridmore, Tony P. (2015) Three-dimensional reconstruction of plant shoots from multiple images using an active vision system. In: Agri-Food Robotics Workshop, 2 Oct 2015, Hamburg, Germany.

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in: Proceedings of the IEEE Workshop on Agri-Food Robotics. Hamburg, Germany. October 2, 2015. doi: 10.18174/392250
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Biosciences
Depositing User: Eprints, Support
Date Deposited: 15 Aug 2017 13:23
Last Modified: 18 Oct 2017 18:25
URI: http://eprints.nottingham.ac.uk/id/eprint/44908

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