000063012 001__ 63012
000063012 005__ 20190709135510.0
000063012 0247_ $$2doi$$a10.3390/s17092066
000063012 0248_ $$2sideral$$a101621
000063012 037__ $$aART-2017-101621
000063012 041__ $$aeng
000063012 100__ $$aMendikute, Alberto
000063012 245__ $$aSelf-calibrated in-process photogrammetry for large raw part measurement and alignment before machining
000063012 260__ $$c2017
000063012 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063012 5203_ $$aPhotogrammetry methods are being used more and more as a 3D technique for large scale metrology applications in industry. Optical targets are placed on an object and images are taken around it, where measuring traceability is provided by precise off-process pre-calibrated digital cameras and scale bars. According to the 2D target image coordinates, target 3D coordinates and camera views are jointly computed. One of the applications of photogrammetry is the measurement of raw part surfaces prior to its machining. For this application, post-process bundle adjustment has usually been adopted for computing the 3D scene. With that approach, a high computation time is observed, leading in practice to time consuming and user dependent iterative review and reprocessing procedures until an adequate set of images is taken, limiting its potential for fast, easyto-use, and precise measurements. In this paper, a new efficient procedure is presented for solving the bundle adjustment problem in portable photogrammetry. In-process bundle computing capability is demonstrated on a consumer grade desktop PC, enabling quasi real time 2D image and 3D scene computing. Additionally, a method for the self-calibration of camera and lens distortion has been integrated into the in-process approach due to its potential for highest precision when using low cost non-specialized digital cameras. Measurement traceability is set only by scale bars available in the measuring scene, avoiding the uncertainty contribution of off-process camera calibration procedures or the use of special purpose calibration artifacts. The developed selfcalibrated in-process photogrammetry has been evaluated both in a pilot case scenario and in industrial scenarios for raw part measurement, showing a total in-process computing time typically below 1 s per image up to a maximum of 2 s during the last stages of the computed industrial scenes, along with a relative precision of 1/10, 000 (e.g. 0.1 mm error in 1 m) with an error RMS below 0.2 pixels at image plane, ranging at the same performance reported for portable photogrammetry with precise off-process pre-calibrated cameras.
000063012 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063012 590__ $$a2.475$$b2017
000063012 591__ $$aCHEMISTRY, ANALYTICAL$$b30 / 80 = 0.375$$c2017$$dQ2$$eT2
000063012 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b16 / 61 = 0.262$$c2017$$dQ2$$eT1
000063012 591__ $$aELECTROCHEMISTRY$$b15 / 28 = 0.536$$c2017$$dQ3$$eT2
000063012 592__ $$a0.584$$b2017
000063012 593__ $$aAnalytical Chemistry$$c2017$$dQ2
000063012 593__ $$aAtomic and Molecular Physics, and Optics$$c2017$$dQ2
000063012 593__ $$aMedicine (miscellaneous)$$c2017$$dQ2
000063012 593__ $$aElectrical and Electronic Engineering$$c2017$$dQ2
000063012 593__ $$aInstrumentation$$c2017$$dQ2
000063012 593__ $$aBiochemistry$$c2017$$dQ3
000063012 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063012 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe-Fabra, José A.$$uUniversidad de Zaragoza
000063012 700__ $$aZatarain, Mikel
000063012 700__ $$aBertelsen, Álvaro
000063012 700__ $$aLeizea, Ibai
000063012 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000063012 773__ $$g17, 9 (2017), [30 pp.]$$pSensors$$tSENSORS$$x1424-8220
000063012 8564_ $$s6837358$$uhttps://zaguan.unizar.es/record/63012/files/texto_completo.pdf$$yVersión publicada
000063012 8564_ $$s105590$$uhttps://zaguan.unizar.es/record/63012/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063012 909CO $$ooai:zaguan.unizar.es:63012$$particulos$$pdriver
000063012 951__ $$a2019-07-09-11:51:19
000063012 980__ $$aARTICLE