Roving Multiple Camera Array with Structure-from-Motion for Coastal Monitoring

Godfrey, Samantha, Cooper, James R ORCID: 0000-0003-4957-2774 and Plater, Andrew J ORCID: 0000-0001-7043-227X
(2023) Roving Multiple Camera Array with Structure-from-Motion for Coastal Monitoring. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 11 (3). p. 591.

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<jats:p>Regular monitoring is essential for vulnerable coastal locations such as areas of landward retreat. However, for coastal practitioners, surveying is limited by budget, specialist personnel/equipment and weather. In combination structure-from-motion and multi-view stereo (SfM-MVS) has helped to improve accessibility to topographic data acquisition. Pole-mounted cameras with SfM-MVS have gained traction but to guarantee coverage and reconstruction quality, greater understanding of camera position and interaction is required. This study uses a multi-camera array for image acquisition and reviews processing procedures in Agisoft Photoscan (Metashape). The camera rig was deployed at three sites and results were verified against a terrestrial laser scanner (TLS) and independent precision estimates. The multi-camera approach provided effective image acquisition ~11 times faster than the TLS. Reconstruction quality equalled (&gt;92% similarity) the TLS, subject to processing parameters. A change in the image alignment parameter demonstrated a significant influence on deformation, reducing reprojection error by~94%. A lower densification parameter (‘High’) offered results ~4.39% dissimilar from the TLS at 1/8th of the processing time of other parameters. Independent precision estimates were &lt;8.2 mm for x, y and z dimensions. These findings illustrate the potential of multi-camera systems and the influence of processing on point cloud quality and computation time.</jats:p>

Item Type: Article
Uncontrolled Keywords: camera array, camera rig, coastal monitoring, coastal recession, SfM-MVS processing parameters, structure-from-motion photogrammetry, 3D reconstruction
Divisions: Faculty of Science and Engineering > School of Environmental Sciences
Depositing User: Symplectic Admin
Date Deposited: 13 Mar 2023 08:26
Last Modified: 19 Apr 2023 13:16
DOI: 10.3390/jmse11030591
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