Paper
18 November 2022 Research on binocular stereo vision based on interactive channel and its application in power intelligent emergency repair
Author Affiliations +
Proceedings Volume 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022); 124731R (2022) https://doi.org/10.1117/12.2653543
Event: Second International Conference on Optics and Communication Technology (ICOCT 2022), 2022, Hefei, China
Abstract
Recently, the whole society has had higher and higher requirements for the stable operation of the power system, and the safety of power production is directly related to people's daily life order and the development of the national economy. How to build a power system security framework to repair problems in the power system in a timely manner, and how to improve the accuracy of remote live work while improving work efficiency have become the main needs of the development of the power industry. In the practical application scenario of power repair, this paper obtains the target coordinates through the line laser scanning binocular stereo vision technology of the interactive channel and completes the preparations for the binocular stereo vision including image preprocessing, camera calibration, and stereo correction. The stereo vision algorithm is used to improve the efficiency of electric power intelligent emergency repair operations, and the advantages of binocular stereo vision algorithm in the application of electric power emergency repair are illustrated by comparing the accuracy of different algorithms through experiments.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bian Minjie, Zheng Qinan, and Chen Cheng "Research on binocular stereo vision based on interactive channel and its application in power intelligent emergency repair", Proc. SPIE 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022), 124731R (18 November 2022); https://doi.org/10.1117/12.2653543
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KEYWORDS
Image processing

Cameras

3D image reconstruction

3D image processing

Digital filtering

3D acquisition

Image filtering

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