Issue |
Int. J. Metrol. Qual. Eng.
Volume 16, 2025
|
|
---|---|---|
Article Number | 5 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/ijmqe/2025004 | |
Published online | 01 July 2025 |
Research Article
Application of SIFT operator with binocular vision fusion in Building engineering measurement
Chongqing Metropolitan College of Science and Technology, Chongqing 402167, China
* Corresponding author: dengrui202203@163.com
Received:
7
May
2024
Accepted:
16
May
2025
With the increasing demand for higher accuracy and reliability in the field of engineering measurement, traditional methods have shown a series of problems when facing complex scenarios and precision measurement tasks. Therefore, a scale invariant feature transformation engineering measurement method integrating binocular vision is proposed. This study focuses on binocular vision three-dimensional dimension measurement, using two-dimensional chessboard for monocular and binocular calibration to obtain internal and external reference information. At the same time, the scale invariant feature transformation algorithm has been simplified, combined with epipolar geometry to improve matching performance. The experiment showed that the improved scale invariant feature transformation algorithm achieved a matching accuracy of 97%. After fusing binocular vision, the close range matching was improved to 98%, the matching time was reduced to 1.8 seconds, and the number of feature points was reduced to 24. In distance measurement, the minimum error for planar targets was 0.25%, the maximum error for curved targets was 1.08%, and the overall maximum error percentage was 2.24%. The scale invariant feature transformation operator that integrates binocular vision has achieved significant results in engineering measurement, showing higher accuracy and reliability in three-dimensional dimension measurement compared to traditional methods. This innovative method is expected to improve measurement accuracy and reliability, providing a more accurate and feasible solution for three-dimensional dimension measurement in the engineering field.
Key words: binocular vision / scale invariant feature transformation / camera calibration / three dimensional measurement / engineering survey
© C. Li and R. Deng, Published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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