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dc.contributor.authorCharleston, Sean A.en_NZ
dc.contributor.authorDorrington, Adrian A.en_NZ
dc.contributor.authorStreeter, Leeen_NZ
dc.contributor.authorCree, Michael J.en_NZ
dc.contributor.editorRemondino, Fabioen_NZ
dc.contributor.editorShortis, Mar R.en_NZ
dc.coverage.spatialMunich, Germanyen_NZ
dc.date.accessioned2017-07-21T02:11:44Z
dc.date.available2015en_NZ
dc.date.available2017-07-21T02:11:44Z
dc.date.issued2015en_NZ
dc.identifier.citationCharleston, S. A., Dorrington, A. A., Streeter, L., & Cree, M. J. (2015). Extracting the MESA SR4000 Calibrations. In F. Remondino & M. R. Shortis (Eds.), Videometrics, Range Imaging, and Applications XIII (Vol. 9528). Munich, Germany: SPIE. https://doi.org/10.1117/12.2183654en
dc.identifier.issn0277-786Xen_NZ
dc.identifier.urihttps://hdl.handle.net/10289/11211
dc.description.abstractTime-of-flight range imaging cameras are capable of acquiring depth images of a scene. Some algorithms require these cameras to be run in `raw mode', where any calibrations from the off-the-shelf manufacturers are lost. The calibration of the MESA SR4000 is herein investigated, with an attempt to reconstruct the full calibration. Possession of the factory calibration enables calibrated data to be acquired and manipulated even in “raw mode.” This work is motivated by the problem of motion correction, in which the calibration must be separated into component parts to be applied at different stages in the algorithm. There are also other applications, in which multiple frequencies are required, such as multipath interference correction. The other frequencies can be calibrated in a similar way, using the factory calibration as a base. A novel technique for capturing the calibration data is described; a retro-reflector is used on a moving platform, which acts as a point source at a distance, resulting in planar waves on the sensor. A number of calibrations are retrieved from the camera, and are then modelled and compared to the factory calibration. When comparing the factory calibration to both the “raw mode” data, and the calibration described herein, a root mean squared error improvement of 51:3mm was seen, with a standard deviation improvement of 34:9mm. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSPIEen_NZ
dc.rights© 2015 SPIE
dc.sourceVideometrics, Range Imaging, and Applications XIIIen_NZ
dc.subjectScience & Technologyen_NZ
dc.subjectTechnologyen_NZ
dc.subjectPhysical Sciencesen_NZ
dc.subjectEngineering, Electrical & Electronicen_NZ
dc.subjectOpticsen_NZ
dc.subjectImaging Science & Photographic Technologyen_NZ
dc.subjectEngineeringen_NZ
dc.subjectTime of Flighten_NZ
dc.subjectRange Imagingen_NZ
dc.subjectCalibrationen_NZ
dc.subjectMESAen_NZ
dc.subjectSR4000en_NZ
dc.subjectSR-4000en_NZ
dc.subjectCAMERAen_NZ
dc.subjectTESTSen_NZ
dc.titleExtracting the MESA SR4000 Calibrationsen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1117/12.2183654en_NZ
dc.relation.isPartOfVideometrics, Range Imaging, and Applications XIIIen_NZ
pubs.elements-id121796
pubs.finish-date2015-06-23en_NZ
pubs.publication-statusPublisheden_NZ
pubs.start-date2015-06-22en_NZ
pubs.volume9528en_NZ


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