Wide-angle Lens Camera Calibration using Automatic Target Recognition

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dc.contributor.advisorLichti, Derek D.
dc.contributor.advisorShahbazi, Mozhdeh M.
dc.contributor.authorJarron, David Mackenzie
dc.contributor.committeememberO'Keefe, Kyle P. G.
dc.contributor.committeememberDetchev, Ivan D.
dc.date2020-11
dc.date.accessioned2020-05-19T15:44:24Z
dc.date.available2020-05-19T15:44:24Z
dc.date.issued2020-05-15
dc.description.abstractThe focus of this thesis is the calibration and integration of the Ladybug5 multi-camera system into a Mobile Mapping System. To calibrate this system an efficient and accurate automatic target recognition methodology that could work with a multi-camera system was needed. This automatic target recognition methodology was developed and works by projecting the known coordinates of the surveyed calibration targets into the camera frame through a series of simulated or measured orientations and matching to signalized targets already detected in the image to a very high degree of accuracy. Through calibration of this system and rigorous modelling of its intrinsic properties, it became apparent that there was ambiguity in the research field about the most precise projection model to use for wide angle lens cameras and camera systems. A series of camera calibrations were carried out on two wide angle camera systems. Both camera systems exhibit properties that make them difficult to classify as either a central perspective camera or as a fisheye camera. Calibrations were performed on both camera systems using both central perspective and fisheye projection models. The calibrations that utilized a fisheye projection model estimated calibration parameters that more closely fit the observations. Finally, the calibration of the Ladybug5 as a multi-camera system, utilizing ROP stability constraints was performed to rectify issues relating to issues with the panoramic image generation of the Ladybug5. These panoramic images are important for point cloud coloration, and other aspects of multi-camera system integration with mobile mapping systems. It was determined that the calibration of the Ladybug5 using relative orientation stability constraints allowed for the generation of more seamless panoramic images, allowing the camera to better integrate with mobile mapping systems.en_US
dc.identifier.citationJarron, D. M. (2020). Wide-angle Lens Camera Calibration using Automatic Target Recognition (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/37854
dc.identifier.urihttp://hdl.handle.net/1880/112077
dc.language.isoengen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. 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.subjectCamera Calibrationen_US
dc.subjectMobile Mapping Systemsen_US
dc.subject.classificationInformation Scienceen_US
dc.subject.classificationComputer Scienceen_US
dc.subject.classificationGeotechnologyen_US
dc.titleWide-angle Lens Camera Calibration using Automatic Target Recognitionen_US
dc.typemaster thesisen_US
thesis.degree.disciplineEngineering – Geomaticsen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
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