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Evaluating the influence of camera and projector lens distortion in 3D reconstruction quality for fringe projection profilometry

dc.creatorVargas R.
dc.creatorMarrugo A.G.
dc.creatorPineda J.
dc.creatorMeneses J.
dc.creatorRomero L.A.
dc.date.accessioned2020-03-26T16:32:35Z
dc.date.available2020-03-26T16:32:35Z
dc.date.issued2018
dc.identifier.citationOptics InfoBase Conference Papers; Vol. Part F95-3D 2018
dc.identifier.isbn9781557528209
dc.identifier.urihttps://hdl.handle.net/20.500.12585/8912
dc.description.abstractWe study the influence of geometric distortions of the camera and projector lenses on 3D reconstruction quality for fringe projection profilometry. Experimental results on real objects and their 3D models show the accuracy is improved. © 2018 The Author(s).eng
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherOSA - The Optical Society
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051277290&doi=10.1364%2f3D.2018.3M3G.5&partnerID=40&md5=cd579bdd6c148eba9da9442294966030
dc.titleEvaluating the influence of camera and projector lens distortion in 3D reconstruction quality for fringe projection profilometry
dcterms.bibliographicCitationZhang, S., (2016) High-Speed 3D Imaging with Digital Fringe Projection Techniques, , CRC Press
dcterms.bibliographicCitationMoreno, D., Taubin, G., 'Simple, Accurate, and Robust Projector-Camera Calibration,' (2012) in “2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT),“, pp. 464-471. , IEEE
dcterms.bibliographicCitationZhang, S., Huang, P.S., 'Novel method for structured light system calibration,' (2006) Optical Engineering, 45
dcterms.bibliographicCitationLee, H., Kim, M.Y., Moon, J.I., 'Three-dimensional sensing methodology combining stereo vision and phase-measuring profilometry based on dynamic programming,' (2018) Optical Engineering, 56, pp. 1-11
datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1364/3D.2018.3M3G.5
dc.subject.keywordsCameras
dc.subject.keywordsImage acquisition
dc.subject.keywordsImage reconstruction
dc.subject.keywordsProfilometry
dc.subject.keywords3D models
dc.subject.keywords3D reconstruction
dc.subject.keywordsFringe projection profilometry
dc.subject.keywordsGeometric distortion
dc.subject.keywordsProjector lens distortion
dc.subject.keywordsReal objects
dc.subject.keywordsThree dimensional displays
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.relation.conferencedate25 June 2018 through 28 June 2018
dc.type.spaConferencia
dc.identifier.orcid57117284600
dc.identifier.orcid24329839300
dc.identifier.orcid57192270016
dc.identifier.orcid7004348301
dc.identifier.orcid36142156300


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