Camera imaging error calibration method and correction method

Abstract

The invention discloses a camera imaging error calibration and correction method. A secondary calibration model is introduced to solve the problem that the correction precision is low due to calibration of a least square method commonly used at present, and camera installation errors cannot be corrected. According to the method, distortion and perspective deformation can be corrected at the same time in a high-precision mode, correction coordinates of characteristic points of the calibration plate completely coincide with ideal coordinates, correction parameters of the characteristic points are introduced into non-characteristic points through an interpolation algorithm, and high-precision correction of the whole image is achieved. Moreover, the traditional calibration method needs to process the images of a plurality of calibration plates, and the method only needs to process the image of one calibration plate, thereby simplifying the calibration process, and greatly reducing the timeand complexity of the calibration work.

Description

technical field [0001] The invention relates to the field of vision correction, in particular to a camera imaging error calibration and correction method. Background technique [0002] In the field of computer vision, an important application is to accurately image the shape on a certain plane in space so that it can be precisely measured. The manufacturing accuracy of the camera lens and the deviation of the assembly process will cause distortion, and the non-parallel imaging plane of the camera and the object plane will cause perspective distortion, both of which will lead to distortion of the imaging result. In order to correct the distortion, it is necessary to calibrate the error of the imaging system. There are three commonly used calibration methods and corresponding defects as follows: [0003] 1. Traditional camera calibration [0004] The simplest camera calibration is linear calibration, which does not consider the distortion of the camera but only considers th...

AI Technical Summary

Problems solved by technology

The disadvantages of this method are: the solution is unstable, the calculation accuracy and the model accuracy often conflict, and the perspective deformation caused by the camera installation error cannot be calibrated

The disadvantage of this method is: because the parameters obtained are the least squares solution, the accuracy is limited

At the same time, the tangential distortion of the lens and the installation error of the camera are not considered, and the correction effect on the distortion is not good, and the perspective distortion cannot be corrected.

[0010] It can be seen that there is currently no better calibration and correction method that can correct distortion and perspective distortion at the same time with high precision.

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