Circle Center Automatic Extraction and Sorting based on Improved Circular Target

摘要

In order to solve the problems that the traditional circular target is not convenient for automatic camera calibration, the accuracy of circle centering is not high, and the circle centering array is greatly influenced by the rotation angle of the circular target, a circular target suitable for automatic camera calibration was designed. For this target, a least squares center-fitting method based on random sampling and a centroid lattice sequential sorting method based on vector angle were proposed. The experimental results showed that the average centering error was 0.0061 pixels using this center extraction algorithm. Compared with the traditional least squares fitting method, the accuracy was higher; for the calibration target 0-360 degree rotation, it could more quickly and accurately complete the center-point lattice sorting. The average sorting time was 0.0096s, and it was easier to implement on-line camera automatic calibration.