TY - JOUR
T1 - Measurement error with different computer vision techniques
AU - Icasio-Hernández, O.
AU - Curiel-Razo, Y. I.
AU - Almaraz-Cabral, C. C.
AU - Rojas-Ramirez, S. R.
AU - González-Barbosa, J. J.
N1 - Publisher Copyright:
© Authors 2017. CC BY 4.0 License.
PY - 2017/9/12
Y1 - 2017/9/12
N2 - The goal of this work is to offer a comparative of measurement error for different computer vision techniques for 3D reconstruction and allow a metrological discrimination based on our evaluation results. The present work implements four 3D reconstruction techniques: passive stereoscopy, active stereoscopy, shape from contour and fringe profilometry to find the measurement error and its uncertainty using different gauges. We measured several dimensional and geometric known standards. We compared the results for the techniques, average errors, standard deviations, and uncertainties obtaining a guide to identify the tolerances that each technique can achieve and choose the best.
AB - The goal of this work is to offer a comparative of measurement error for different computer vision techniques for 3D reconstruction and allow a metrological discrimination based on our evaluation results. The present work implements four 3D reconstruction techniques: passive stereoscopy, active stereoscopy, shape from contour and fringe profilometry to find the measurement error and its uncertainty using different gauges. We measured several dimensional and geometric known standards. We compared the results for the techniques, average errors, standard deviations, and uncertainties obtaining a guide to identify the tolerances that each technique can achieve and choose the best.
KW - Estimation error
KW - Image reconstruction
KW - Measurement techniques
KW - Measurement uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85030997641&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLII-2-W7-227-2017
DO - 10.5194/isprs-archives-XLII-2-W7-227-2017
M3 - Artículo de la conferencia
AN - SCOPUS:85030997641
SN - 1682-1750
VL - 42
SP - 227
EP - 235
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
IS - 2W7
T2 - ISPRS Geospatial Week 2017
Y2 - 18 September 2017 through 22 September 2017
ER -