Novel calibration method for non-overlapping multiple vision sensors based on 1D target

Liu, Zhen; Zhang, Guangjun; Wei, Zhenzhong; Sun, Junhua

doi:10.1016/j.optlaseng.2010.11.002

Cited by 52 publications

(26 citation statements)

References 21 publications

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“…A calibration target is a workpiece with high precision and can be used for feature extraction and precision verification in camera calibration [14,15,[19][20][21]23,[25][26][27][28]32,81]. Planar calibration target is the most widely used calibration target, whose plane consistency is good, and features are easy to extract.…”

Section: Methods Based On Large-scale Targetsmentioning

confidence: 99%

“…It is suitable for the calibration of MVS distributed in both large and small measurement fields [16,22,28,33]. Liu et al [14] proposed a global calibration method for cameras with non-overlapping field of view based on 1D targets. The rotation matrix between adjacent cameras can be solved based on the collinearity of the feature points on the 1D target.…”

Section: Methods Based On Large-scale Targetsmentioning

confidence: 99%

See 1 more Smart Citation

Global calibration of non-overlapping cameras: State of the art

Xia

Zhao

et al. 2018

Optik

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Section: Methods Based On Large-scale Targetsmentioning

confidence: 99%

Section: Methods Based On Large-scale Targetsmentioning

confidence: 99%

Global calibration of non-overlapping cameras: State of the art

Xia

Zhao

et al. 2018

Optik

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“…Through the combination of a 2D planar target and a 1D target, we can ultimately realize the global calibration of the MSVS. In this paper, the proposed approach mainly contains the following four steps: For each camera, the perspective projective matrix and lens distortion coefficients are calibrated off-line by the 2D planar target.After, the MSVS is assembled, placing the 1D target to cover the FOV of two neighboring cameras and then computing the extrinsic parameters of each neighboring cameras on-line, including the rotation matrix and translation vector, according to the collinear property and known distances of feature points on the 1D target [24,25,26,27]. Then, an arbitrary camera coordinate frame is selected as the global coordinate frame.…”

Section: Measurement Principle and Calibration Parametersmentioning

confidence: 99%

Multi-Camera and Structured-Light Vision System (MSVS) for Dynamic High-Accuracy 3D Measurements of Railway Tunnels

Zhan

Xiao

et al. 2015

Sensors

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Railway tunnel 3D clearance inspection is critical to guaranteeing railway operation safety. However, it is a challenge to inspect railway tunnel 3D clearance using a vision system, because both the spatial range and field of view (FOV) of such measurements are quite large. This paper summarizes our work on dynamic railway tunnel 3D clearance inspection based on a multi-camera and structured-light vision system (MSVS). First, the configuration of the MSVS is described. Then, the global calibration for the MSVS is discussed in detail. The onboard vision system is mounted on a dedicated vehicle and is expected to suffer from multiple degrees of freedom vibrations brought about by the running vehicle. Any small vibration can result in substantial measurement errors. In order to overcome this problem, a vehicle motion deviation rectifying method is investigated. Experiments using the vision inspection system are conducted with satisfactory online measurement results.

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“…Researchers studied to extend the target size to cover the FOV of cameras simultaneously. Liu et al [13] proposed an approach to calibrate the extrinsic parameters of multiple vision sensors based on 1D target. Dong et al [14] combined a multiple cameras system using arbitrarily distributed encoded targets on a wall.…”

Section: Introductionmentioning

confidence: 99%

A calibration method for non-overlapping cameras based on mirrored absolute phase target

Gao

Zhang

et al. 2018

Int J Adv Manuf Technol

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Non-overlapping cameras are widely applied in visual measurement system and mobile robotics. The inspection accuracy and performance of the systems highly depend on the calibration accuracy. A novel method for the calibration of non-overlapping cameras is proposed in this paper. A LCD screen is used as a phase target to display two groups of orthogonal phase-shifted sinusoidal patterns during the calibration process. Through a mirror reflection, the phase target is captured by the cameras respectively. The relations between each camera and the phase target can be obtained according the proposed algorithm. Then, the relation between the cameras can be calculated by treating the phase target as an intermediate value. The proposed method is more flexible than a conventional mirror-based approach, because it does not require the common identification points and is robust to out-of-focus images. Both simulation work and experimental results show the proposed calibration method has a good result in calibrating a non-overlapping cameras system. The calibration accuracy can reach 0.2 mm and 0.007°in translations and rotation respectively. A stereo deflectometry system is calculated based on the proposed calibration method. The global measurement accuracy of a standard concave mirror measured by the system can reach 96.8 nm.

show abstract

Novel calibration method for non-overlapping multiple vision sensors based on 1D target

Cited by 52 publications

References 21 publications

Global calibration of non-overlapping cameras: State of the art

Global calibration of non-overlapping cameras: State of the art

Multi-Camera and Structured-Light Vision System (MSVS) for Dynamic High-Accuracy 3D Measurements of Railway Tunnels

A calibration method for non-overlapping cameras based on mirrored absolute phase target

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