MEASUREMENT ERROR WITH DIFFERENT COMPUTER VISION TECHNIQUES
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 st...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-09-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/227/2017/isprs-archives-XLII-2-W7-227-2017.pdf |
| Summary: | 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. |
|---|---|
| ISSN: | 1682-1750 2194-9034 |