Universal underwater camera calibration method based on a forward multilayer refractive model

Abstract Multiple refractions between different media lead to camera refractive distortions, thereby making it difficult to ensure underwater measurement accuracy. Consequently, precise modeling and calibration of underwater multilayer imaging systems is essential to address these distortions. In this paper, employing a perspective projection scale factor along the light propagation direction, a universal forward multilayer refractive model is presented. On this basis, the refractive model incorporates a general rotation matrix, which not only enriches application diversity but also enhances solution precision. Allowing for direct underwater camera calibration without prior calibration in air, the model simplifies the calibration process and enhances its suitability for practical applications. Through underwater calibration experiments, the refractive model enhances solution efficiency, improves identification precision and distributes evenly and mediately in terms of reprojection error. In addition, it increases the number of identifiable parameters, demonstrating its robustness and superiority in complex parameter identification scenarios. Finally, underwater measurement experiments indicate that the absolute accuracy calibrated and measured by the refractive model is better than 0.25 mm. Overall, combining all the benefits of forward and backward compensation methods, the forward refractive model offers versatility in handling multiple refractions without limited refractive layers.

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Publication Details

Journal
Measurement Science and Technology
Published
2025-01-16
DOI
https://doi.org/10.1088/1361-6501/adab0f
Citations
4
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
2.92

Funders

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article

Universal underwater camera calibration method based on a forward multilayer refractive model

Fan Ye, Juntong Xi, Xiaobo Chen, Yukun Wang
4 citations
Measurement Science and Technology
Optical Systems and Laser Technology
2.92
article

Universal underwater camera calibration method based on a forward multilayer refractive model

Fan Ye, Juntong Xi, Xiaobo Chen, Yukun Wang
article en
4 citations

Abstract

Abstract Multiple refractions between different media lead to camera refractive distortions, thereby making it difficult to ensure underwater measurement accuracy. Consequently, precise modeling and calibration of underwater multilayer imaging systems is essential to address these distortions. In this paper, employing a perspective projection scale factor along the light propagation direction, a universal forward multilayer refractive model is presented. On this basis, the refractive model incorporates a general rotation matrix, which not only enriches application diversity but also enhances solution precision. Allowing for direct underwater camera calibration without prior calibration in air, the model simplifies the calibration process and enhances its suitability for practical applications. Through underwater calibration experiments, the refractive model enhances solution efficiency, improves identification precision and distributes evenly and mediately in terms of reprojection error. In addition, it increases the number of identifiable parameters, demonstrating its robustness and superiority in complex parameter identification scenarios. Finally, underwater measurement experiments indicate that the absolute accuracy calibrated and measured by the refractive model is better than 0.25 mm. Overall, combining all the benefits of forward and backward compensation methods, the forward refractive model offers versatility in handling multiple refractions without limited refractive layers.

Measurement Science and TechnologyVol. 36(3)
Shanghai Jiao Tong University (CN), Shanghai Advanced Research Institute (CN), State Key Laboratory of Chemical Engineering (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Optical Systems and Laser Technology
2.92
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Universal underwater camera calibration method based on a forward multilayer refractive model — Fan Ye, Juntong Xi, et al. · Measurement Science and Technology (2025) | TGRS Research Map | TGRS