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A quick and low-cost smartphone photogrammetry method for obtaining 3D particle size and shape.

Authors :
Fang, Kun
Zhang, Jiefei
Tang, Huiming
Hu, Xiaolong
Yuan, Honghui
Wang, Xiaotao
An, Pengju
Ding, Bingdong
Source :
Engineering Geology. Sep2023, Vol. 322, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Reliable particle measurements are essential when investigating the size and shape of particles in various fields of study, including engineering geology. Common methods to determine the morphology of particles, such as 3D laser scanners, are typically expensive or require extensive preparation. Therefore, a setup-friendly, low-cost, and accurate approach is required. In this study, a practical Trick-Image-Capturing (TIC) method based on smartphone photogrammetry to obtain size and shape parameters of 3D coarse particles is proposed. The process of image acquisition and particle reconstruction of the TIC method is demonstrated. Then, the performance of the TIC method is comprehensively assessed under various conditions using a 3D laser scanner, including smartphone quality, particle shape, shooting method, and postprocessing software. An optimal setting of the TIC method is selected through the cloud-to-cloud distance. Finally, the size and shape parameters of 32 coarse particles using the TIC method are also evaluated. Results show that the optimum setup of the TIC method is using a smartphone camera with a resolution above 12 MP under the ICS mode with a 30° shooting angle with Metashape postprocessing software. The root mean square error (RMSE) of cloud-to-cloud distances and the average error ratios under the optimum setup are less than 0.075 mm and 3.5%, respectively. Due to its fast image capturing process, easy setup, and low cost, the TIC method is practical and we expect it to become one of popular methods of measuring 3D coarse particles. • A practical Trick-Image-Capturing (TIC) method for measuring 3D coarse particles is proposed. • The workflow, accuracy, and best practices of the method were comprehensively assessed. • The RMSE of cloud-to-cloud distances and the average error ratios are less than 0.075 mm and 3.5%, respectively. • This method is expected to become one of popular methods of measuring 3D coarse particles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00137952
Volume :
322
Database :
Academic Search Index
Journal :
Engineering Geology
Publication Type :
Academic Journal
Accession number :
164246899
Full Text :
https://doi.org/10.1016/j.enggeo.2023.107170