Camera self-calibration method based on two-dimensional mark code

Abstract

The invention discloses a camera self-calibration method based on a two-dimensional mark code. The method comprises the following steps of setting a two-dimensional target with a mark code; carrying out image acquisition on the two-dimensional target and acquiring a two-dimensional target image group possessing the mark code; detecting the mark code in the two-dimensional target image group and matching to a two-dimensional target image; determining a two-dimensional target base image and calculating an inner parameter matrix and an outer parameter matrix of an image acquisition apparatus; optimizing the inner parameter matrix and the outer parameter matrix of the image acquisition apparatus; and adding the image acquisition apparatus and calculating inner and outer parameters and three-dimensional point cloud of the image acquisition apparatus. In the invention, through setting the two-dimensional target possessing the mark code, the image acquisition apparatus is calibrated and technical problems that manufacturing of a three-dimensional target is difficult, an accuracy requirement is high and a self-calibration result precision is poor in a traditional calibration technology are solved.

Description

technical field [0001] The invention relates to the technical field of three-dimensional modeling, in particular to a camera self-calibration method based on two-dimensional marking codes. Background technique [0002] In the field of 3D reconstruction based on photos, how to restore the 3D geometric shape of the target object and the camera motion parameters from the 2D image has always been a hot spot in this field. Currently commonly used calibration methods can be divided into three categories: traditional calibration methods, active vision methods, and camera self-calibration methods. The traditional calibration method needs to use the calibration object with known three-dimensional geometric information, and the calibration results obtained are relatively accurate, but it requires high-precision three-dimensional targets, which is difficult to manufacture and relatively high in cost; the active vision calibration method requires certain motions of the camera to be know...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to address the deficiencies in the above-mentioned prior art, and disclose a camera self-calibration method based on two-dimensional marking codes, which solves the difficulties in making three-dimensional targets, high precision requirements, and self-calibration problems in traditional calibration techniques. The technical problem of poor accuracy of calibration method results

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