Camera Calibration Method for Large Field of View Based on Four Sets of Collinear Constrained Calibration Rulers

Abstract

The invention relates to a large-field-of-view camera calibration method based on four sets of collinear constraint calibration rulers, belonging to the field of visual measurement, and relates to a large-field-of-view camera calibration method based on four sets of collinear constraint calibration rulers. The calibration method arranges four sets of collinear constraint calibration rulers in the large-scale visual measurement field of view, uses the cross-ratio unlimited nature and linear constraints to solve the distortion parameters, and uses the spatial calibration control points to linearly solve the initial value of the calibration parameters, and finally combines the distortion Coefficients and calibration initial values ​​are optimized using the L-M optimization method, and the objective function is to minimize the reprojection error to obtain accurate results of camera calibration with a large field of view. The invention optimizes the calibration results as a whole by flexibly arranging the calibration control points in the large field of view measurement space and combining four sets of collinear constraint calibration rulers, and realizes the high-precision calibration of the large field of view camera, which has wide application prospects.

Description

technical field [0001] The invention belongs to the field of visual measurement and relates to a method for calibrating a camera with a large field of view based on four sets of collinear constraint calibration rulers. Background technique [0002] With the continuous progress of society, more and more measurement problems are faced in industrial production. How to improve the accuracy and efficiency of measurement has become a hot issue in related research fields. Visual measurement has the advantages of non-contact, good real-time performance, high efficiency and the ability to realize on-machine measurement. It has been widely used in the fields of industrial measurement and machinery manufacturing in recent years, and has attracted great attention. Camera calibration is a key part of visual measurement, and the accuracy of the calibration results will directly determine the accuracy of the final measurement results. There are three main calibration methods used for visu...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the existing calibration method has certain limitations for large field of view calibration, the present invention invented a large field of view camera calibration method based on four sets of collinear constraint calibration rulers

Its purpose is to solve the problem that the high-precision calibration object of the traditional calibration method is difficult to process and the measurement accuracy is difficult to guarantee in the large-field calibration. By flexibly arranging the calibration control points in the large-field measurement space and combining four sets of collinear constraint calibration rulers, Compiled relevant Matlab calculations and image extraction functions, optimized the calibration results as a whole, and realized high-precision calibration of large field of view cameras

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