Automated calibration of mobile cameras for 3D reconstruction of mechanical pipes

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dc.contributor.authorMaalek, Reza
dc.contributor.authorLichti, Derek D
dc.date.accessioned2021-04-27T21:15:55Z
dc.date.available2021-04-27T21:15:55Z
dc.date.issued2021-04-06
dc.descriptionThis is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.en_US
dc.description.abstractThis manuscript provides a new framework for calibration of optical instruments, in particular mobile cameras, using highly-redundant circular black and white target fields. New methods were introduced for (i) matching targets between images; (ii) adjusting the systematic eccentricity error of target centers; and (iii) iteratively improving the calibration solution through a free-network self-calibrating bundle adjustment. It was observed that the proposed target matching effectively matched circular targets in 270 mobile phone images, taken from a calibration laboratory, with robustness to Type II errors. The proposed eccentricity adjustment, which requires only camera projective matrices from two views, behaved synonymous to available closed-form solutions, which require several additional object space target information a priori. Finally, specifically for the case of the mobile devices, the calibration parameters obtained using our framework was found superior compared to in-situ calibration for estimating the 3D reconstructed radius of a mechanical pipe (approximately 45% improvement on average).en_US
dc.description.grantingagencyNatural Sciences and Engineering Research Council (NSERC)en_US
dc.identifier.doidoi.org
dc.identifier.grantnumber542980 - 19en_US
dc.identifier.urihttp://hdl.handle.net/1880/113320
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/38792
dc.language.isoengen_US
dc.publisherWileyen_US
dc.publisher.departmentGeomatics Engineeringen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.hasversionacceptedVersionen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.publisher.policyhttps://authorservices.wiley.com/author-resources/Journal-Authors/licensing/self-archiving.htmlen_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectmobile camera calibrationen_US
dc.subjectellipse eccentricity correctionen_US
dc.subjectcircular target extraction and matchingen_US
dc.subject3D reconstruction of pipesen_US
dc.titleAutomated calibration of mobile cameras for 3D reconstruction of mechanical pipesen_US
dc.typejournal articleen_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelFacultyen_US
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