Name
Title | ||
|---|---|---|
Evaluating Geometric Measurement Accuracy Based on 3D Reconstruction of Automated Imagery in a Greenhouse. |
Abstract | ||
|---|---|---|
Geometric dimensions of plants are significant parameters for showing plant dynamic responses to environmental variations. An image-based high-throughput phenotyping platform was developed to automatically measure geometric dimensions of plants in a greenhouse. The goal of this paper was to evaluate the accuracy in geometric measurement using the Structure from Motion (SfM) method from images acquired using the automated image-based platform. Images of nine artificial objects of different shapes were taken under 17 combinations of three different overlaps in x and y directions, respectively, and two different spatial resolutions (SRs) with three replicates. Dimensions in x, y and z of these objects were measured from 3D models reconstructed using the SfM method to evaluate the geometric accuracy. A metric power of unit (POU) was proposed to combine the effects of image overlap and SR. Results showed that measurement error of dimension in z is the least affected by overlap and SR among the three dimensions and measurement error of dimensions in x and y increased following a power function with the decrease of POU (R-2 = 0.78 and 0.88 for x and y respectively). POUs from 150 to 300 are a preferred range to obtain reasonable accuracy and efficiency for the developed image-based high-throughput phenotyping system. As a study case, the developed system was used to measure the height of 44 plants using an optimal POU in greenhouse environment. The results showed a good agreement (R-2 = 92% and Root Mean Square Error = 9.4 mm) between the manual and automated method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/s18072270 | SENSORS |
Keywords | Field | DocType |
3D model reconstruction,structure from motion,geometric accuracy,processing efficiency,high-throughput phenotyping | Remote sensing,Greenhouse,Electronic engineering,Engineering,Accuracy and precision,3D reconstruction | Journal |
Volume | Issue | Citations |
18 | 7.0 | 1 |
PageRank | References | Authors |
0.35 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| jing zhou | 1 | 112 | 20.35 |
| Xiuqing Fu | 2 | 2 | 1.38 |
| Leon Schumacher | 3 | 1 | 0.35 |
| Jianfeng Zhou | 4 | 6 | 5.49 |