Calibration device for industrial fixed-focus camera parameters based on square target model

Abstract

The invention relates to an industrial fixed-focus camera parameter calibration device based on a square target model, which includes a target, a camera translational movement component and a PC. The target and the camera translational movement component are arranged on the ground at a certain distance. The calibration camera is set on the camera translational movement component and connected to the PC. The target is provided with four dots, and the geometric centers of the four dots form a square. Compared with the prior art, the present invention has the advantages of simple and easy to use, high calculation speed and high accuracy.

Description

technical field [0001] The invention relates to the technical field of industrial fixed-focus camera calibration, in particular to an industrial fixed-focus camera parameter calibration device based on a square target model. Background technique [0002] Camera calibration is to determine the attribute parameters, spatial position and imaging model of the camera, so as to determine the correspondence between the object in the spatial coordinate system and its image point on the image plane, so that the camera can accurately measure the external The process of object geometry data. [0003] Industrial fixed-focus cameras cannot be directly applied to photogrammetry because the parameters are unknown. Generally, various calibration techniques can be used to obtain camera parameters, and then physical and mathematical models can be established for analytical calculation of space photogrammetry. The parameters of the camera are mainly the projection magnification that has a cer...

AI Technical Summary

Problems solved by technology

[0005] For the first calibration method, although the size of the calibration object is accurate, the external parameters of the camera relative to the calibration object cannot be accurately measured, so the first method needs to collect multiple high-quality calibration images to optimize the solution of internal parameters , this method has large manual operation errors, cumbersome process, and complex algorithm, and accurate results can only be obtained when calibration is repeated many times

The second method has no external reference object and is very flexible to use, but the image processing technology is not mature, and there are too many unknown parameters, it is difficult to obtain stable and accurate calculation results

The calibration method needs to be realized by a specific device. Therefore, there is a lack of a simple device and operation method dedicated to camera parameter calibration.

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