Back to Search Start Over

Accuracy Analysis of a Multi-View Stereo Approach for Phenotyping of Tomato Plants at the Organ Level

Authors :
Stefan Paulus
Johann Christian Rose
Heiner Kuhlmann
Source :
Sensors (Basel, Switzerland), Sensors, Vol 15, Iss 5, Pp 9651-9665 (2015), Sensors, Volume 15, Issue 5, Pages 9651-9665
Publication Year :
2015
Publisher :
MDPI AG, 2015.

Abstract

Accessing a plant’s 3D geometry has become of significant importance for phenotyping during the last few years. Close-up laser scanning is an established method to acquire 3D plant shapes in real time with high detail, but it is stationary and has high investment costs. 3D reconstruction from images using structure from motion (SfM) and multi-view stereo (MVS) is a flexible cost-effective method, but requires post-processing procedures. The aim of this study is to evaluate the potential measuring accuracy of an SfM- and MVS-based photogrammetric method for the task of organ-level plant phenotyping. For this, reference data are provided by a high-accuracy close-up laser scanner. Using both methods, point clouds of several tomato plants were reconstructed at six following days. The parameters leaf area, main stem height and convex hull of the complete plant were extracted from the 3D point clouds and compared to the reference data regarding accuracy and correlation. These parameters were chosen regarding the demands of current phenotyping scenarios. The study shows that the photogrammetric approach is highly suitable for the presented monitoring scenario, yielding high correlations to the reference measurements. This cost-effective 3D reconstruction method depicts an alternative to an expensive laser scanner in the studied scenarios with potential for automated procedures.

Details

ISSN :
14248220
Volume :
15
Database :
OpenAIRE
Journal :
Sensors
Accession number :
edsair.doi.dedup.....99b16c37040b2a2cd631b27f7fc2af9e
Full Text :
https://doi.org/10.3390/s150509651