Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 227-235, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-227-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 227-235, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-227-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Sep 2017

12 Sep 2017

MEASUREMENT ERROR WITH DIFFERENT COMPUTER VISION TECHNIQUES

O. Icasio-Hernández1,2, Y. I. Curiel-Razo2, C. C. Almaraz-Cabral2, S. R. Rojas-Ramirez2, and J. J. González-Barbosa2 O. Icasio-Hernández et al.
  • 1Centro Nacional de Metrologia, km. 4.5 carretera a los Cués, el Marqués, Qro., México
  • 2Instituto Politécnico Nacional (CICATA), Cerro Blanco No. 141, Colinas del Cimatario Qro., México

Keywords: Estimation error, Image reconstruction, Measurement techniques, Measurement uncertainty

Abstract. 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.