Solution to relative position of cameras without public FOV

Lu Yanan; Wan Zijing; Wang Xiangjun

doi:10.5768/JAO201738.0302004

Journal of Applied Optics > 2017 > 38(3): 400-405. > DOI: 10.5768/JAO201738.0302004

Lu Yanan, Wan Zijing, Wang Xiangjun. Solution to relative position of cameras without public FOV[J]. Journal of Applied Optics, 2017, 38(3): 400-405. DOI: 10.5768/JAO201738.0302004

Citation:

Lu Yanan, Wan Zijing, Wang Xiangjun. Solution to relative position of cameras without public FOV[J]. Journal of Applied Optics, 2017, 38(3): 400-405. DOI: 10.5768/JAO201738.0302004

Citation:

Lu Yanan, Wan Zijing, Wang Xiangjun. Solution to relative position of cameras without public FOV[J]. Journal of Applied Optics, 2017, 38(3): 400-405. DOI: 10.5768/JAO201738.0302004

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Solution to relative position of cameras without public FOV

Key Lab of MOEMS(Education Ministry), Tianjin University, Tianjin 300072, China

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Received Date: August 21, 2016
Revised Date: November 13, 2016

Graphical Abstract

Abstract

Abstract

Calibration of multi-camera is essential in stereo visual measurement. When calibration plane board can not be visualized simultaneously by multiple cameras, relative position of cameras can not be achieved. In order to solve this problem, a method utilizing 2-axis turntable for multi-camera calibration without public field of view (FOV) is proposed in this paper. Before calibration, multi-camera system is installed and restrained on turntable properly, and relative positions are determined between coordinate of targets and turntable using rotation of turntable.Then turntable is rotated to ensure calibration board enters each camera's FOV, positons of each camera in recent target coordinate system are determined, and angles of turntable's axes are recorded simultaneously. Finally, relationship of relative positions between each camera is solved according to the relationship between coordinate of target turntable.The experimental results indicate that this solution is feasible, and calculating error is within 0.5%. Accordingly, this solution is proved to have certain accuracy in determining positon relationship of multi-camera with non-public FOV and wide angles between optical axes.
- machine vision,
- relative position,
- turntable calibration method,
- multi-camera,
- non-public FOV

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References (13)

References

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Solution to relative position of cameras without public FOV