Camera calibration method and achieving system of same

Abstract

The invention discloses a camera calibration method and an achieving system of the camera calibration method, and belongs to the field of image processing and computer vision. The method comprises the following steps: two feature points are set on a target plane; image coordinates of the feature points on a target are acquired; corresponding relations between feature point three-dimensional space coordinates (Xw, Yw, Zw) and image point coordinates (Xf, Yf) are built; the corresponding relations are substituted into a space mapping model; and parameters in the space mapping model are calculated through an optical calculation method, calibration of a perspective projection line is finished, and therefore calibration of a camera is achieved. The camera calibration method and the achieving system of the camera calibration method directly describe mathematics polynomial relations of computer image plane points and objective world points, and can fast and precisely achieve the calibration of the camera. Compared with calibration method in the prior art, the calibration method directly reproduces a camera imaging process, and avoids geometrical conditional constraints in the camera imaging process.

Description

technical field [0001] The invention relates to the fields of image processing and computer vision, in particular to a corresponding calibration method for images captured by a camera and the spatial positions of objects. Background technique [0002] One of the basic tasks of computer vision processing is to calculate the geometric information of objects in three-dimensional space based on the image information acquired by the camera, and thus reconstruct and recognize the corresponding three-dimensional objects. The relationship between the three-dimensional geometric position of a point on the surface of an object and its corresponding point in the computer image is determined by the geometric parameter model of camera imaging, where the geometric parameters are camera parameters. Under most conditions, camera parameters must be obtained through experiments and calculations. This process is called camera calibration, and the accuracy of the calibration method directly aff...

AI Technical Summary

Problems solved by technology

[0004] Moreover, the traditional camera calibration methods all assume that the imaging relationship of the camera conforms to the spatial geometric relationship of pinhole imaging, but because the design of the camera lens does not meet the pinhole imaging model in some special use requirements, if the traditional The camera calibration method is easy to cause theoretical errors in camera parameter calibration

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