An automatic camera calibration method based on checkerboard

Bi, Qilin; Liu, Zhijun; Wang, Miaohui; Lai, Minling; Le-ming, Xiao; Yan, Yipu; Liu, Xiaoguang

doi:10.3166/ts.34.209-226

Cited by 6 publications

(2 citation statements)

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“…(Figure 6(b)). Firstly, the internal and external parameters of the camera were calibrated by the method of AAA proposed by Bi et al [35]. Secondly, the parameters of the edge operator and ROI were adjusted to ensure the contrast of the edge features between internal and external circles, and obtain the intersection features stably and accurately.…”

Section: Experiments Setupmentioning

confidence: 99%

Precise Inspection of Geometric Parameters for Polyvinyl Chloride Pipe Section Based on Computer Vision

Bi¹,

Lai²,

Tang³

et al. 2021

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The precise inspection of geometric parameters is crucial for quality control in the context of Industry 4.0. The current technique of precise inspection depends on the operation of professional personnel, and the measuring accuracy is restricted by the proficiency of operators. To solve the defects, this paper proposes a precise inspection framework for the geometric parameters of polyvinyl chloride (PVC) pipe section (G-PVC), using low-cost visual sensors and high-precision computer vision algorithms. Firstly, a robust imaging system was built to acquire images of a PVC pipe section under irregular illumination changes. Next, an engineering semantic model was established to calculate G-PVC like inner diameter, outer diameter, wall thickness, and roundness. After that, a region-of-interest (ROI) extraction algorithm was combined with an improved edge operator to obtain the coordinates of measured points on PVC end-face image in a stable and precise manner. Finally, our framework was proved highly precise and robust through experiments.

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Section: Experiments Setupmentioning

confidence: 99%

Precise Inspection of Geometric Parameters for Polyvinyl Chloride Pipe Section Based on Computer Vision

Bi¹,

Lai²,

Tang³

et al. 2021

Self Cite

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“…To address the above problems, some improved methods of Zhang’s method have been proposed. An adaptive extraction and matching algorithm for checkerboard inner corners was proposed by Qi et al 12 to address the problems of manual operation and heavy time consumption in traditional calibration methods. Chung introduced the neural-network model to the checkerboard-based calibration method to compensate for lens distortion 13 .…”

Section: Introductionmentioning

confidence: 99%

Conic tangents based high precision extraction method of concentric circle centers and its application in camera parameters calibration

Hao

Shi³

et al. 2021

Sci Rep

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A high-precision camera intrinsic parameters calibration method based on concentric circles was proposed. Different from Zhang’s method, its feature points are the centers of concentric circles. First, the collinearity of the projection of the center of concentric circles and the centers of two ellipses which are imaged from the concentric circles was proved. Subsequently, a straight line passing through the center of concentric circles was determined with four tangent lines of concentric circles. Finally, the projection of the center of concentric circles was extracted with the intersection of the straight line and the line determined by the two ellipse centers. Simulation and physical experiments are carried out to analyze the factors affecting the accuracy of circle center coordinate extraction and the results show that the accuracy of the proposed method is higher. On this basis, several key parameters of the calibration target design are determined through simulation experiments and then the calibration target is printed to calibrate a binocular system. The results show that the total reprojection error of the left camera is reduced by 17.66% and that of the right camera is reduced by 21.58% compared with those of Zhang’s method. Therefore, the proposed calibration method has higher accuracy.

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Research on Thermage Robot System Based on Constant Force Control

Liu

Yue

2022

Intelligent Robotics and Applications

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An automatic camera calibration method based on checkerboard

Cited by 6 publications

References 0 publications

Precise Inspection of Geometric Parameters for Polyvinyl Chloride Pipe Section Based on Computer Vision

Precise Inspection of Geometric Parameters for Polyvinyl Chloride Pipe Section Based on Computer Vision

Conic tangents based high precision extraction method of concentric circle centers and its application in camera parameters calibration

Research on Thermage Robot System Based on Constant Force Control

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