A camera marking method based on double 1-dimension drone

Abstract

The invention discloses a vidicon calibrating method based on double one dimensional drones; the method includes the following steps: two freely arranged one dimensional drones are set; the images of the drones are shot from different angles through a vidicon; vidicon coordinate systems and image plane coordinate systems of the vidicon under different shooting positions as well as a world coordinate system are respectively built; internal parameters and external parameters of the vidicon are solved after carrying out aberrance calibrating on the shot drone images. The calibrating method of the invention takes two one dimensional drones as a calibrating object, carries out shooting on the drone images from different angles after freely arranging two one dimensional drones on the field area of the vidicon and can carry out calibrating on the internal parameters and the external parameters of the vidicon only after picking up three or more characteristic points of each drone image; auxiliary devices are not needed; the vidicon calibrating method based on double one dimensional drones of the invention is simple to operate, and can improve the calibrating precision of the vidicon and enlarge the calibrating range of the vidicon.

Description

technical field [0001] The invention relates to computer vision technology, in particular to a camera calibration method based on dual one-dimensional targets. Background technique [0002] Camera calibration is an important and key issue in computer vision and photogrammetry. The so-called camera calibration refers to determining the positional relationship between the camera image pixels and the corresponding scene points, specifically: according to the camera model, the known feature points Image coordinates and world coordinates solve for intrinsic and extrinsic parameters of the camera model. [0003] Early R.Y.Tsai in the article "An efficient and accurate camera calibration technique for 3D machine vision, Proc. of IEEE Conference of Computer Vision and Pattern Recognition, pp364-374, 1986" proposed a camera calibration method based on a three-dimensional calibration object with a known structure. Although relatively high calibration accuracy can be obtained by using...

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Problems solved by technology

In "Multi-camera Calibration Based on One-Dimensional Calibration Objects, Acta Automatica Sinica, Vol. 33, No. 3, 2007, 225-231", Wang Liang et al. proposed a method of camera calibration using a one-dimensional target with arbitrary rigid body motion. Calibration method, but this calibration method is only suitable for calibrating multiple cameras, not single camera

[0007] It can be seen that in the prior art, although the camera calibration method based on the one-dimensional target has many advantages in the camera calibration of large field of view measurement, there are still problems such as low calibration accuracy, cumbersome operation, need for auxiliary equipment, limited calibration range, etc. insufficient

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