High-precision camera principal point calibration method

Abstract

The invention discloses a high-precision camera principal point calibration method, and relates to the technical field of image measurement. The method comprises the following steps: adjusting the direction of laser emitted by a laser device to make the laser direction parallel to the optical axis of a camera and to make laser spots be displayed on a receiving display, moving the receiving display, collecting laser spot images in different positions to obtain a laser spot image set, using an image processing technology to find out the coordinates of the laser spot centers of the laser spot images in different positions, carrying out linear fitting on the obtained laser spot centers to obtain the linear equations of center connecting lines, solving the two linear equations, and finding out the intersection point of the two linear equations, wherein the coordinate of the intersection point is a camera principle point coordinate. The method has the advantages of high calibration precision, simple and easy operation, and strong practicality, and can meet rapid calibration needs of the camera principle point.

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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