Erregistro soila

dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorAlonso, Marcos
dc.contributor.authorIzaguirre Altuna, Alberto
dc.contributor.otherÁlvarez, Hugo
dc.contributor.otherSánchez, Jairo R.
dc.date.accessioned2021-02-08T10:11:39Z
dc.date.available2021-02-08T10:11:39Z
dc.date.issued2021
dc.identifier.issn1424-8220en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162421en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5213
dc.description.abstractThis paper describes a method for calibrating multi camera and multi laser 3D triangulation systems, particularly for those using Scheimpflug adapters. Under this configuration, the focus plane of the camera is located at the laser plane, making it difficult to use traditional calibration methods, such as chessboard pattern-based strategies. Our method uses a conical calibration object whose intersections with the laser planes generate stepped line patterns that can be used to calculate the camera-laser homographies. The calibration object has been designed to calibrate scanners for revolving surfaces, but it can be easily extended to linear setups. The experiments carried out show that the proposed system has a precision of 0.1 mm.en
dc.language.isoengen
dc.publisherMDPIen
dc.rights© 2021 by the authors. Licensee MDPIen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectoptical sensorsen
dc.subjectlaser sensoren
dc.subjectcalibrationen
dc.subject3D reconstructionen
dc.titleA Multi Camera and Multi Laser Calibration Method for 3D Reconstruction of Revolution Partsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceSensorsen
local.contributor.groupRobótica y automatizaciónes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.3390/s21030765en
local.rights.publicationfeeAPCen
local.rights.publicationfeeamount1880 EUR 2200 CHFen
local.contributor.otherinstitutionhttps://ror.org/0023sah13es
local.source.detailsVol. 21. N. 3. N. artículo 765, 2021en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Erregistro soila

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