To make the problems of existing high requirements of calibration tools, complex global calibration process addressed for monocular multi-view visual measurement system during measurement, in the paper, a global calibration method is proposed for the geometric properties of rotational correlation motion and the absolute orientation of the field of view without over lap. Firstly, a dual-camera system is constructed for photographing and collecting the rotating image sequence of two flat targets rigidly connected by a long rod at different positions, and based on the known parameters, such as, target feature image, world coordinates, camera internal parameters and so on, then the global PnP optimization method is used to solve the rotation axis and the reference point at different positions; Then, the absolute orientation matrix is constructed based on the parameters of rotation axis, reference point and connecting rod length obtained by this method. In the end, the singular value decomposition method is used to find the optimal rotation matrix, and then get the translation matrix. It’s shown based on simulation and actual tests that in comparison with the existing methods, the maximum attitude and pose errors is 0.0083˚ and 0.3657 mm, respectively, which improves the accuracy by 27.8% and 24.4%, respectively. The calibration device in this paper is simple, and there are no parallel, vertical and coplanar requirements between multiple rotating positions. At the same time, in view of the calibration accuracy, the accuracy requirements of most application scenarios can be met.
References
[1]
Liu, Z., Zhang, G., Wei, Z. and Sun, J.H. (2011) A Global Calibration Method for Multiple Vision Sensors Based on Multiple Targets. Measurement Science Technology, 22, Article ID: 125102. https://doi.org/10.1088/0957-0233/22/12/125102
[2]
Pfaff, F., Maier, G., Aristov, M., et al. (2017) Real-Time Motion Prediction Using the Chromatic Offset of Line Scan Cameras. At-Automatisierungstechnik, 65, 369-380. https://doi.org/10.1515/auto-2017-0009
[3]
Zhan, D., Yu, L., Xiao, J., et al. (2013) Study on Vehicle Vibration Compensation in Railway Track Profile Inspection. Chinese Journal of Scientific Instrument, 49, 186-194.
[4]
Lu, Y.N., Wan, Z.J. and Wang, X.J. (2017) A Method for Solving The Position Relationship of Cameras without Public Field of View. Applied Optics, 38, 400-405.
[5]
Quan, Y.M., Qin, Z.B., Li, W.S., et al. (2019) Multi Camera Calibration of One-Dimensional Calibration Object Based on Normalization Algorithm. Acta Optica Sinica, 39, Article ID: 0415001. https://doi.org/10.3788/AOS201939.0415001
[6]
Xia, R., Hu, M., Zhao, J., et al. (2018) Global Calibration of Multi-Cameras with Non-Overlapping Fields of View Based on Photogrammetry and Reconfigurable Target. Measurement Science and Technology, 29, Article ID: 065005. https://doi.org/10.1088/1361-6501/aab028
[7]
Zhao, H.Z., Gao, N., Meng, Z.Z., et al. (2021) Method of Simultaneous Calibration of Dual View 3D Measurement System. Opto-Electronic Engineering, 48, Article ID: 200127.
[8]
Zhao, Y.H., Yuan, F., Ding, Z.L., et al. (2011) Global Calibration Method for Large Field of View Multi Vision Sensor Measurement System. Journal of Basic Science and Engineering, 19, 679-688.
[9]
Huang, D.Z., Zhao, Q.C., Ou, Y. and Yang, T.L. (2016) Research on Global Calibration Method for Multi-Camera Visual Measurement System. Proceedings of the SPIE, 9903, Article ID: 990334.
[10]
Ma, M.S., Yang, X.G., Li, C.X., et al. (2019) Accurate Calibration Method of Non Overlapping Field of View Camera Based on Spatial Constraints. Acta Optica Sinica, 39, Article ID: 1015003. https://doi.org/10.3788/AOS201939.1015003
[11]
Lang, W., Xue, J.P., Li, C.H., et al. (2019) Multi View Point Cloud Mosaic Based on Rotating Table Parameter Calibration. Chinese Journal of Lasers, 46, Article ID: 1104003. https://doi.org/10.3788/CJL201946.1104003
[12]
Zhu, A., Zhao, Q., Yang, T., et al. (2023) Condition Monitoring of Wind Turbine Based on Deep Learning Networks and Kernel Principal Component Analysis. Computers and Electrical Engineering, 105, Article ID: 108538. https://doi.org/10.1016/j.compeleceng.2022.108538
[13]
Zhang, Z. (2000) A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330-1334. https://doi.org/10.1109/34.888718
[14]
Chang, S.H., Cosman, P.C. and Milstein, L.B. (2011) Chernoff-Type Bounds for The Gaussian Error Function. IEEE Transactions on Communications, 59, 2939-2944. https://doi.org/10.1109/TCOMM.2011.072011.100049
[15]
Chai, S.W., Yang, X.Q. and Guo, X.W. (2020) Dual Quaternion Absolute Orientation Iterative Solution. Science of Surveying and Mapping, 45, 88-94.
[16]
Hu, M.B., Xia, R.B., Chen, S.L., et al. (2018) Global Calibration of Non Overlapping Field of View Camera Based on Photogrammetry. Combined Machine Tool and Automatic Machining Technology, 10, 89-92.
