Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set
This paper describes a new open data set, consisting of images of a chessboard collected underwater with different refractive indices, which allows for investigation of the quality of different radial distortion correction methods. The refractive index is regulated by the degree of salinity of the w...
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MDPI AG
2022-10-01
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Series: | Journal of Imaging |
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Online Access: | https://www.mdpi.com/2313-433X/8/10/289 |
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author | Daria Senshina Dmitry Polevoy Egor Ershov Irina Kunina |
author_facet | Daria Senshina Dmitry Polevoy Egor Ershov Irina Kunina |
author_sort | Daria Senshina |
collection | DOAJ |
description | This paper describes a new open data set, consisting of images of a chessboard collected underwater with different refractive indices, which allows for investigation of the quality of different radial distortion correction methods. The refractive index is regulated by the degree of salinity of the water. The collected data set consists of 662 images, and the chessboard cell corners are manually marked for each image (for a total of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>35</mn><mo>,</mo><mn>748</mn></mrow></semantics></math></inline-formula> nodes). Two different mobile phone cameras were used for the shooting: telephoto and wide-angle. With the help of the collected data set, the practical applicability of the formula for correction of the radial distortion that occurs when the camera is submerged underwater was investigated. Our experiments show that the radial distortion correction formula makes it possible to correct images with high precision, comparable to the precision of classical calibration algorithms. We also show that this correction method is resistant to small inaccuracies in the indication of the refractive index of water. The data set, as well as the accompanying code, are publicly available. |
first_indexed | 2024-03-09T20:02:21Z |
format | Article |
id | doaj.art-e71a53b35bc342339ab90926ca906805 |
institution | Directory Open Access Journal |
issn | 2313-433X |
language | English |
last_indexed | 2024-03-09T20:02:21Z |
publishDate | 2022-10-01 |
publisher | MDPI AG |
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series | Journal of Imaging |
spelling | doaj.art-e71a53b35bc342339ab90926ca9068052023-11-24T00:42:01ZengMDPI AGJournal of Imaging2313-433X2022-10-0181028910.3390/jimaging8100289Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data SetDaria Senshina0Dmitry Polevoy1Egor Ershov2Irina Kunina3Evocargo LLC, 129085 Moscow, RussiaSmart Engines Service LLC, 117312 Moscow, RussiaInstitute for Information Transmission Problems of Russian Academy of Sciences, 127051 Moscow, RussiaSmart Engines Service LLC, 117312 Moscow, RussiaThis paper describes a new open data set, consisting of images of a chessboard collected underwater with different refractive indices, which allows for investigation of the quality of different radial distortion correction methods. The refractive index is regulated by the degree of salinity of the water. The collected data set consists of 662 images, and the chessboard cell corners are manually marked for each image (for a total of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>35</mn><mo>,</mo><mn>748</mn></mrow></semantics></math></inline-formula> nodes). Two different mobile phone cameras were used for the shooting: telephoto and wide-angle. With the help of the collected data set, the practical applicability of the formula for correction of the radial distortion that occurs when the camera is submerged underwater was investigated. Our experiments show that the radial distortion correction formula makes it possible to correct images with high precision, comparable to the precision of classical calibration algorithms. We also show that this correction method is resistant to small inaccuracies in the indication of the refractive index of water. The data set, as well as the accompanying code, are publicly available.https://www.mdpi.com/2313-433X/8/10/289underwater shootingradial distortioncamera calibrationrefractive index |
spellingShingle | Daria Senshina Dmitry Polevoy Egor Ershov Irina Kunina Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set Journal of Imaging underwater shooting radial distortion camera calibration refractive index |
title | Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set |
title_full | Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set |
title_fullStr | Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set |
title_full_unstemmed | Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set |
title_short | Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set |
title_sort | experimental study of radial distortion compensation for camera submerged underwater using open saltwaterdistortion data set |
topic | underwater shooting radial distortion camera calibration refractive index |
url | https://www.mdpi.com/2313-433X/8/10/289 |
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