Abstract

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.

Highlights

  • A high-precision camera intrinsic parameters calibration method based on concentric circles was proposed

  • The total reprojection error of the left camera of our method is 0.4037 pixels, and that of the Zhang method is 0.4903 pixels, which is 17.66% less than that of the Zhang’s method

  • A camera intrinsic parameter calibration method based on a concentric circle array was proposed without corner extraction

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Summary

Introduction

A high-precision camera intrinsic parameters calibration method based on concentric circles was proposed. 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 the calibration target is printed to calibrate a binocular system. Accurate calibration of intrinsic and extrinsic parameters of cameras is a principal problem for machine vision that has been widely explored in the industrial inspection field It is of the highest importance in camera calibration to find a sufficiently large number of known 3D points in world coordinates and their projections in 2D ­images[1]. Zhang’s method is very time-consuming for multi-camera systems, and its robustness is affected by the position of the calibration plate

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