Research on embedded workpiece ranging system based on binocular vision

Shuiping Li; Chenyu Wu

doi:10.1117/12.2684540

19 October 2023 Research on embedded workpiece ranging system based on binocular vision

Shuiping Li, Chenyu Wu

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127091C (2023) https://doi.org/10.1117/12.2684540
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

An embedded vision ranging system is designed and developed to solve the problem of workpiece positioning. Firstly, this paper has a theoretical analysis of distance measuring based on binocular vision. Then proposing an improved stereo matching algorithm CSGM based on SGM. Also having an algorithm performance testing for CSGM on its accuracy of stereo matching and time consumption based on the Middlebury datasets by using the evaluation toolkit MiddleEval3. After the stereo calibration of the binocular camera and rectifying the stereo image pair, a distance-measuring experiment was carried out, showing the embedded vision ranging system has a millimeter precision for positioning workpieces.

Citation Download Citation

Shuiping Li and Chenyu Wu "Research on embedded workpiece ranging system based on binocular vision", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127091C (19 October 2023); https://doi.org/10.1117/12.2684540

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