A high precision camera principal point calibration method

Abstract

The invention discloses a high-precision camera principal point calibration method, which relates to the field of image measurement technology. By adjusting the laser direction emitted by the laser, the laser direction is parallel to the optical axis of the camera, and the laser spot is displayed on the receiving screen, moving The receiving screen collects laser spot images at different positions to obtain a set of spot images, uses image processing methods to find the coordinates of the spot centers of the spot images at different positions, and uses the obtained spot centers to obtain the center by straight line fitting. The straight line equation of the connecting line, solve the two straight line equations to find the intersection point, and the coordinates of the intersection point are the coordinates of the principal point of the camera. This method has the advantages of high calibration accuracy, simple operation and strong practicability, and can meet the needs of rapid calibration of the principal point of the camera.

Description

technical field [0001] The invention relates to the field of camera imaging technology and machine vision, in particular to a high-precision camera principal point calibration method. Background technique [0002] When using a camera for measurement, it is necessary to calibrate the camera to ensure the accuracy of the measurement. The internal and external parameters of the camera include: principal point coordinates, focal length, aspect ratio, translation vector and rotation matrix, among which the calibration accuracy of the camera principal point coordinates is an important content for realizing high-precision binocular distance measurement. The intersection of the imaging plane of the camera and the optical axis of the camera is the principal point of the image. In theory, the principal point is generally located at the center of the image, but in practice, due to the use and processing of the camera, the optical axis of the lens cannot be guaranteed to be the center ...

AI Technical Summary

Problems solved by technology

The direct linear method ignores the influence of lens distortion on imaging, and the calibration accuracy is very low; the nonlinear optimization method is cumbersome and takes a long time; Two-dimensional image information processing to obtain camera parameters, but this method requires constant adjustment of the position and attitude of the calibration board, and the experiment is relatively cumbersome

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