Accurate estimation of fish length in single camera photogrammetry with a fiducial marker

Monkman, Graham G., Hyder, Kieran ORCID: https://orcid.org/0000-0003-1428-5679, Kaiser, Michel J. and Vidal, Franck P. (2020) Accurate estimation of fish length in single camera photogrammetry with a fiducial marker. ICES Journal of Marine Science, 77 (6). pp. 2245-2254. ISSN 1054-3139

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Abstract

Videogrammetry and photogrammetry are increasingly being used in marine science for unsupervised data collection. The camera systems employed are complex, in contrast to "consumer"digital cameras and smartphones carried by potential citizen scientists. However, using consumer cameras in photogrammetry will introduce unknown length estimation errors through both the image acquisition process and lens distortion. This study presents a methodology to achieve accurate 2-dimensional (2-D) total length (TL) estimates of fish without specialist equipment or proprietary software. Photographs of fish were captured with an action camera using a background fiducial marker, a foreground fiducial marker and a laser marker. The geometric properties of the lens were modelled with OpenCV to correct image distortion. TL estimates were corrected for parallax effects using an algorithm requiring only the initial length estimate and known fish morphometric relationships. Correcting image distortion decreased RMSE by 96% and the percentage mean bias error (%MBE) by 50%. Correcting for parallax effects achieved a %MBE of -0.6%. This study demonstrates that the morphometric measurement of different species can be accurately estimated without the need for complex camera equipment, making it particularly suitable for deployment in citizen science and other volunteer-based data collection endeavours.

Item Type: Article
Additional Information: Funding Information: This work was supported by the Fisheries Society of the British Isles under a PhD Studentship granted to G.G.M. K.H. was supported by Cefas Seedcorn (DP227AE).
Uncontrolled Keywords: fiducial marker,image distortion,opencv,photogrammetry,single camera,total length estimation,oceanography,ecology, evolution, behavior and systematics,aquatic science,ecology,sdg 14 - life below water ,/dk/atira/pure/subjectarea/asjc/1900/1910
Faculty \ School: Faculty of Science > School of Environmental Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 25 Nov 2023 03:22
Last Modified: 21 Jul 2024 14:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/93794
DOI: 10.1093/ICESJMS/FSZ030

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