Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70587
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorDarwish, W-
dc.creatorTang, SJ-
dc.creatorLi, WB-
dc.creatorChen, W-
dc.date.accessioned2017-12-28T06:17:26Z-
dc.date.available2017-12-28T06:17:26Z-
dc.identifier.issn1424-8220en_US
dc.identifier.urihttp://hdl.handle.net/10397/70587-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Darwish, W.; Tang, S.; Li, W.; Chen, W. A New Calibration Method for Commercial RGB-D Sensors. Sensors 2017, 17, 1204, 1-15 is available at https://dx.doi.org/10.3390/s17061204en_US
dc.subjectRGB-D sensorsen_US
dc.subjectDepth calibrationen_US
dc.subjectStructure sensoren_US
dc.subjectStructured light concepten_US
dc.titleA new calibration method for commercial RGB-D sensorsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage5en_US
dc.identifier.volume17en_US
dc.identifier.issue6en_US
dc.identifier.doi10.3390/s17061204en_US
dcterms.abstractCommercial RGB-D sensors such as Kinect and Structure Sensors have been widely used in the game industry, where geometric fidelity is not of utmost importance. For applications in which high quality 3D is required, i.e., 3D building models of centimeter-level accuracy, accurate and reliable calibrations of these sensors are required. This paper presents a new model for calibrating the depth measurements of RGB-D sensors based on the structured light concept. Additionally, a new automatic method is proposed for the calibration of all RGB-D parameters, including internal calibration parameters for all cameras, the baseline between the infrared and RGB cameras, and the depth error model. When compared with traditional calibration methods, this new model shows a significant improvement in depth precision for both near and far ranges.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors, June 2017, v. 17, no. 6, 1204-
dcterms.isPartOfSensors-
dcterms.issued2017-
dc.identifier.isiWOS:000404553900020-
dc.identifier.ros2016004121-
dc.identifier.artn1204en_US
dc.identifier.rosgroupid2016004042-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validatebcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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