Exploring the capabilities of portable device photogrammetry for 3D surface roughness evaluation

ABSTRACT

The feasibility of using a portable photogrammetric device to digitalise rock surface roughness is investigated. Structured light 3D scanner, terrestrial LiDAR scanner, and portable photogrammetry device are used to scan precast different roughness lab-scale specimens. The reconstructed 3D surface is evaluated for accuracy using point cloud distance, joint roughness coefficient, and 3D roughness parameters. Results show that the portable device can reconstruct a 3D model comparable in accuracy to a structured light 3D scanner in 15 minutes. The proposed method is applied to laboratory-scale model reconstruction, with the potential to scan rock surfaces efficiently and economically in a mine.

KEYWORDS:

• Surface roughness
• photogrammetry
• point cloud

Acknowledgments

The work was supported by the Australian Coal Industry Research Program (ACARP) under Grant C29025. Special thanks to Mr Kanchana Gamage, Mr Mark Whelan, and Mr Gabriel Graterol Nisi from UNSW Sydney for their assistance in laboratory tests.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the Australian Coal Industry’s Research Program [C29025].