An Accurate Calibration Method for Multilayer Refractive Imaging in Underwater 3-D Scanning
Accurate calibration of imaging parameters is the key to achieve 3-D scanning in underwater environment. However, the methods based on perspective principle have insufficient precision because of the multilayer refraction caused by encapsulated window. In this article, an accurate calibration method...
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Veröffentlicht in: | IEEE/ASME transactions on mechatronics 2024-06, p.1-12 |
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creator | Zhang, Jin-hua Li, Wen-long Chen, Rui Zheng, Xue-song Tian, Ya-ming Yang, Bin Wan, Yi |
description | Accurate calibration of imaging parameters is the key to achieve 3-D scanning in underwater environment. However, the methods based on perspective principle have insufficient precision because of the multilayer refraction caused by encapsulated window. In this article, an accurate calibration method for pose of camera, pose of window, and refractive index of water (RIOW) is proposed. A new derivation for closed solution based on the coplanar and flat refractive constraints is derived to solve the problem that unknown RIOW is coupled into calculation. In calibration, the problem of coplanar degeneration is solved and RIOW can be estimated by constructing high-order equation. The proposed method can analytically compute and simultaneously optimize all parameters including RIOW. Finally, simulations and practical experiments are carried out to validate the feasibility and superiority of the proposed method. It is observed that more parameters are estimated (RIOW included) and higher accuracy is achieved (improved by 30%) compared with existing methods. |
doi_str_mv | 10.1109/TMECH.2024.3405545 |
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However, the methods based on perspective principle have insufficient precision because of the multilayer refraction caused by encapsulated window. In this article, an accurate calibration method for pose of camera, pose of window, and refractive index of water (RIOW) is proposed. A new derivation for closed solution based on the coplanar and flat refractive constraints is derived to solve the problem that unknown RIOW is coupled into calculation. In calibration, the problem of coplanar degeneration is solved and RIOW can be estimated by constructing high-order equation. The proposed method can analytically compute and simultaneously optimize all parameters including RIOW. Finally, simulations and practical experiments are carried out to validate the feasibility and superiority of the proposed method. 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However, the methods based on perspective principle have insufficient precision because of the multilayer refraction caused by encapsulated window. In this article, an accurate calibration method for pose of camera, pose of window, and refractive index of water (RIOW) is proposed. A new derivation for closed solution based on the coplanar and flat refractive constraints is derived to solve the problem that unknown RIOW is coupled into calculation. In calibration, the problem of coplanar degeneration is solved and RIOW can be estimated by constructing high-order equation. The proposed method can analytically compute and simultaneously optimize all parameters including RIOW. Finally, simulations and practical experiments are carried out to validate the feasibility and superiority of the proposed method. It is observed that more parameters are estimated (RIOW included) and higher accuracy is achieved (improved by 30%) compared with existing methods.</description><subject>Calibration</subject><subject>Cameras</subject><subject>Multilayer refractive imaging</subject><subject>Nonhomogeneous media</subject><subject>Optical imaging</subject><subject>Optical refraction</subject><subject>underwater 3-D scanning</subject><subject>underwater imaging calibration</subject><subject>underwater visual measurement</subject><subject>Vectors</subject><subject>Windows</subject><issn>1083-4435</issn><issn>1941-014X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkM1Kw0AUhQdRsFZfQFzMC6TOzczkZxlitYUGQVsQXITJ5E4dSScySZW-vYntwtU9cO53Fh8ht8BmACy9XxfzfDELWShmXDAphTwjE0gFBAzE2_mQWcIDIbi8JFdd98kYE8BgQt4zRzOt9171SHPV2GpItnW0wP6jralpPS32TW8bdUBPX9B4pXv7jXS5U1vrttQ6unE1-p9hwVMePNBXrZwbqmtyYVTT4c3pTsnmcb7OF8Hq-WmZZ6tAg0j7oI7D2DCdqCTmUSVqHSsURnIWAfBURgpQR5UyArAeCsXT8Z8bHkd1VCUJn5LwuKt923UeTfnl7U75QwmsHPWUf3rKUU950jNAd0fIIuI_QMoQeMh_AXjwYdI</recordid><startdate>20240607</startdate><enddate>20240607</enddate><creator>Zhang, Jin-hua</creator><creator>Li, Wen-long</creator><creator>Chen, Rui</creator><creator>Zheng, Xue-song</creator><creator>Tian, Ya-ming</creator><creator>Yang, Bin</creator><creator>Wan, Yi</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0009-0004-6789-6742</orcidid><orcidid>https://orcid.org/0009-0005-1539-4916</orcidid><orcidid>https://orcid.org/0009-0002-2984-0962</orcidid><orcidid>https://orcid.org/0009-0004-2879-3265</orcidid><orcidid>https://orcid.org/0000-0002-5351-7076</orcidid><orcidid>https://orcid.org/0000-0003-3236-7678</orcidid><orcidid>https://orcid.org/0000-0002-8678-3952</orcidid></search><sort><creationdate>20240607</creationdate><title>An Accurate Calibration Method for Multilayer Refractive Imaging in Underwater 3-D Scanning</title><author>Zhang, Jin-hua ; Li, Wen-long ; Chen, Rui ; Zheng, Xue-song ; Tian, Ya-ming ; Yang, Bin ; Wan, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c149t-d727f0c8a8736b4dc7ae4f5306113956a1ec6baf41ede4fa3927f03f376d6b883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Calibration</topic><topic>Cameras</topic><topic>Multilayer refractive imaging</topic><topic>Nonhomogeneous media</topic><topic>Optical imaging</topic><topic>Optical refraction</topic><topic>underwater 3-D scanning</topic><topic>underwater imaging calibration</topic><topic>underwater visual measurement</topic><topic>Vectors</topic><topic>Windows</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Jin-hua</creatorcontrib><creatorcontrib>Li, Wen-long</creatorcontrib><creatorcontrib>Chen, Rui</creatorcontrib><creatorcontrib>Zheng, Xue-song</creatorcontrib><creatorcontrib>Tian, Ya-ming</creatorcontrib><creatorcontrib>Yang, Bin</creatorcontrib><creatorcontrib>Wan, Yi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE/ASME transactions on mechatronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Jin-hua</au><au>Li, Wen-long</au><au>Chen, Rui</au><au>Zheng, Xue-song</au><au>Tian, Ya-ming</au><au>Yang, Bin</au><au>Wan, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Accurate Calibration Method for Multilayer Refractive Imaging in Underwater 3-D Scanning</atitle><jtitle>IEEE/ASME transactions on mechatronics</jtitle><stitle>TMECH</stitle><date>2024-06-07</date><risdate>2024</risdate><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>1083-4435</issn><eissn>1941-014X</eissn><coden>IATEFW</coden><abstract>Accurate calibration of imaging parameters is the key to achieve 3-D scanning in underwater environment. However, the methods based on perspective principle have insufficient precision because of the multilayer refraction caused by encapsulated window. In this article, an accurate calibration method for pose of camera, pose of window, and refractive index of water (RIOW) is proposed. A new derivation for closed solution based on the coplanar and flat refractive constraints is derived to solve the problem that unknown RIOW is coupled into calculation. In calibration, the problem of coplanar degeneration is solved and RIOW can be estimated by constructing high-order equation. The proposed method can analytically compute and simultaneously optimize all parameters including RIOW. Finally, simulations and practical experiments are carried out to validate the feasibility and superiority of the proposed method. It is observed that more parameters are estimated (RIOW included) and higher accuracy is achieved (improved by 30%) compared with existing methods.</abstract><pub>IEEE</pub><doi>10.1109/TMECH.2024.3405545</doi><tpages>12</tpages><orcidid>https://orcid.org/0009-0004-6789-6742</orcidid><orcidid>https://orcid.org/0009-0005-1539-4916</orcidid><orcidid>https://orcid.org/0009-0002-2984-0962</orcidid><orcidid>https://orcid.org/0009-0004-2879-3265</orcidid><orcidid>https://orcid.org/0000-0002-5351-7076</orcidid><orcidid>https://orcid.org/0000-0003-3236-7678</orcidid><orcidid>https://orcid.org/0000-0002-8678-3952</orcidid></addata></record> |
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subjects | Calibration Cameras Multilayer refractive imaging Nonhomogeneous media Optical imaging Optical refraction underwater 3-D scanning underwater imaging calibration underwater visual measurement Vectors Windows |
title | An Accurate Calibration Method for Multilayer Refractive Imaging in Underwater 3-D Scanning |
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