A Low-Cost, Repeatable Method for 3D Particle Analysis with SfM Photogrammetry

Author:

Tunwal Mohit123,Lim Aaron145ORCID

Affiliation:

1. School of Biological, Earth and Environmental Sciences, University College Cork, T12 YN60 Cork, Ireland

2. Department of Geosciences, Penn State University, University Park, PA 16801, USA

3. School of Mathematical Sciences, University College Cork, T12 YN60 Cork, Ireland

4. Department of Geography, University College Cork, T12 YN60 Cork, Ireland

5. Environmental Research Institute, University College Cork, Lee Road, T12 YN60 Cork, Ireland

Abstract

The characterisation of particle shape is an important analysis in the field of sedimentary geology. At finer scales, it is key for understanding sediment transport while at coarser scales, such as boulders, it is vital for coastal protection. However, the accurate characterisation of particle shape is restricted by the application of 2D imaging for 3D objects or expensive and time-consuming 3D imaging methods such as X-ray tomography or laser scanning. This research outlines a low-cost, easy-to-use 3D particle imaging and shape characterisation methodology employing structure-from-motion (SfM) photogrammetry. A smartphone device was used to capture 2D images of pebble/cobble-sized samples, which were converted to 3D image models using SfM. The 3D image models were then analysed using a comprehensive set of 16 size and shape parameters. Furthermore, a minimum resolution, independent of particle size, is proposed here for the 3D image models for reliable and reproducible size and shape analysis. Thus, the methodology presented here for 3D particle imaging and size and shape analysis can be translated for a range of particle sizes. This work thus opens a pathway for the use of readily accessible imaging devices, such as smartphones, to flexibly obtain image data both in situ as well as in laboratories, thus providing an immensely powerful tool for research and teaching.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Technique for the Measurement of the Morphological Evolution of Marine Pebbles;2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea);2023-10-04

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