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International Journal of Frontiers in Engineering Technology, 2022, 4(7); doi: 10.25236/IJFET.2022.040707.

Research on Adjustable Baseline Binocular Vision Measurement System

Author(s)

Bing Yang, Baonan Yang, Jindong Liu

Corresponding Author:
Bing Yang
Affiliation(s)

School of Computer Science, Xijing University, Xi’an, 710123, P.R. China

Abstract

Binocular stereo vision belongs to machine vision. It uses two cameras to imitate human eyes to obtain two images of the object to be measured, and obtains the three-dimensional information of the object by calculating the positional deviation between the corresponding points of the images. The baseline length of the binocular camera determines the size of the observable distance and range. In today's increasingly complex work environment, the baseline of traditional binocular measurement equipment is fixed, and the usage scenarios are too limited. Therefore, this paper proposes a binocular vision measurement system with dynamically adjustable baselines. The system solves the problem of object localization at different depths by changing the baseline length.

Keywords

Machine vision, 3D information, Baseline, Target setting

Cite This Paper

Bing Yang, Baonan Yang, Jindong Liu. Research on Adjustable Baseline Binocular Vision Measurement System. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 7: 30-34. https://doi.org/10.25236/IJFET.2022.040707.

References

[1] Zhang Guangjun. Machine Vision [M]. Beijing: Science Press, 2005.He Yikang, Pan Zaiping. Power Electronics Technology [M]. Beijing: Science Press,2019.

[2] Mattoccia S. Stereo Vision: Algorithm and Application[M]. Bologna: Published by I-Tech Education and Publishing, 2015: 5-22.

[3] Puglia, L., Vigliar, M., & Raiconi, G. (2017). Real-Time Low-Power FPGA Architecture for Stereo Vision. IEEE Transactions on Circuits and Systems II: Express Briefs, 64(11), 1307–1311.

[4] Luo Z, Zhang K, Wang Z, et al. 2017. 3D pose estimation of large and complicated workpieces based on binocular stereo vision [J]. Applied Optics, 56(24):92~119.

[5] Y Lu, B Wang, R Zhang. 2017.Analysis on Location Accuracy for Binocular Stereo Vision System[J]. IEEE Photonics Journal, PP(99):1-1.

[6] Muquit M A, Shibahara T, Aoki T. A High-Accuracy Passive 3D Measurement System Using Phase-Based Image Matching[J]. Ieice Transactions on Fundamentals of Electronics Communications & Computer Sciences, 2006, E89-A(3):686-697.

[7] Robotics; Nanjing University of Aeronautics and Astronautics Researchers Describe Findings in Robotics (Design and evaluation of a needle tip measurement system based on binocular vision) [J]. Robotics & Machine Learning, 2020.