Unspecified Ziming Liu Profile

Ziming Liu

at Univ of Science and Technology of China

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Publications (5)

Proceedings Article | 11 September 2024 Poster + Paper

Design and study of LAMOST reference fiber position measurement error compensation device

Jinxin Zhou, Yingfu Wang, Jiahao Zhou, Ziming Liu, Rongfeng Chen, Jiacheng Xie, Hongzhuan Hu, Jianping Wang, Zhigang Liu, Jiaru Chu, Zengxiang Zhou

Proceedings Volume 13094, 130943D (2024) https://doi.org/10.1117/12.3019668

KEYWORDS: Error control coding, Calibration, Indium, Fiber optics, 3D metrology

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Proceedings Article | 26 August 2024 Poster + Paper

Research on calibration method of stereo photography system for detecting three-dimensional position of optical fibers

Kai Yun, Jiahao Zhou, Yingfu Wang, Ziming Liu, Rongfeng Chen, Hongzhuan Hu, Jianping Wang, Zhigang Liu, Jirchu Chu, Ping Zhang, Zengxiang Zhou

Proceedings Volume 13100, 131004H (2024) https://doi.org/10.1117/12.3019711

KEYWORDS: Cameras, Calibration, Imaging systems, Fiber optics, Optical fibers, Telescopes, Stereo vision systems, Camera calibration, Photogrammetry

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Proceedings Article | 26 August 2024 Poster + Paper

Measurement of LAMOST fiducial fiber based on the laser tracker

Ziming Liu, Yingfu Wang, Jiahao Zhou, Rongfeng Chen, Jiacheng Xie, Hongzhuan Hu, Jianping Wang, Zhigang Liu, Jiaru Chu, Ping Zhang, Zengxiang Zhou

Proceedings Volume 13100, 131004I (2024) https://doi.org/10.1117/12.3019735

KEYWORDS: Error control coding, Fiber lasers, Data fusion, Distance measurement, Cameras, Calibration, Telescopes, Matrices, Control systems

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Proceedings Article | 18 July 2024 Poster + Paper

Application of FGPA-based high-speed fiber position detection in LAMOST

Wenfei Liu, Qiyun Shen, Yingfu Wang, Jiahao Zhou, Ziming Liu, Rongfeng Chen, Jiacheng Xie, Hongzhuan Hu, Jianping Wang, Jiaru Chu, Zhigang Liu, Ping Zhang, Zengxiang Zhou

Proceedings Volume 13096, 130968R (2024) https://doi.org/10.1117/12.3019691

KEYWORDS: Detection and tracking algorithms, Image processing, Field programmable gate arrays, Image segmentation, Image processing algorithms and systems, Histograms, Iterative methods, Image transmission, Visualization, Tunable filters

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SPIE Journal Paper | 5 December 2023

Evaluation method to obtain a fiducial fiber metrology benchmark for the Large Sky Area Multi-Object Fiber Spectroscopic Telescope

Ziming Liu, Congcong Du, Yingfu Wang, Shipeng Duan, Zhigang Liu, Hongzhuan Hu, Jianping Wang, Jiaru Chu, Xiangqun Cui, Yong Zhang, Haotong Zhang, Zengxiang Zhou

JATIS, Vol. 9, Issue 04, 044002, (December 2023) https://doi.org/10.1117/12.10.1117/1.JATIS.9.4.044002

KEYWORDS: Calibration, Cameras, Imaging systems, Visualization, Metrology, Laser soldering, Photography, Telescopes, Camera calibration, Fiber lasers

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Realizing accurate positioning with the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) closed-loop system depends on accurate high-precision calibration of the visual measurement system, which has a great impact on collision avoidance and accurate positioning. We designed fiducial fibers for the calibration of the LAMOST closed-loop system to provide accurate fiducial positions for visual measurement. The benchmark position accuracy of the fiducial fibers is a key factor affecting the accuracy of the visual measurement system; the more accurate the fiducial fiber positions are, the higher the visual measurement correction accuracy. In this study, three measurement methods were used to obtain the fiducial fiber positions, namely, measuring the hole positions using a coordinate measuring machine, imaging the fiducial fibers using a calibrated photographic system, and directly measuring the fiducial fiber spatial positions using a laser tracker. By evaluating the fiber positions obtained via the three methods, we can obtain a stable and reliable fiducial fiber position benchmark. A fiducial fiber positions evaluation method based on an optimal residual criterion is proposed, and the optimal residual solution for a small calibration target (SCT) is used to evaluate the optimal fiducial fiber measurement method. Specifically, the fiducial positions obtained via each of the three methods are used to invert the camera calibration parameters, which are then used to calculate the physical position of an SCT. Finally, the residual value between the calculated and theoretical positions is taken as the standard for evaluating the fiducial fiber measurement benchmark performance. The results show that the fiducial fiber positions measured using the laser tracker can be applied to effectively calibrate the photographic system, enabling the LAMOST vision measurement system to achieve a positioning accuracy of nearly 10 μm with the camera 20 m from the focal surface, whereas the accuracy is within 20 μm for ∼95 % of the measurement points.

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