Calibrating matter automatic extracting method in camera calibration

Abstract

The invention relates to a calibrating object auto-drawing technique during camera calibration. It uses solid color concentric circles as a calibrating object, arranges the calibrating object and an object in a checking field according to fixed rules and preprocesses the taken pictures to make the calibrating object able to be full automatically drawn, and thus the result is more accurate. It can also have a very good drawing effect on the photos taken by ordinary digital cameras. The calibrating course is fully automatic and completely needs no artificial interference, simple to realize and easy to operate.

Description

technical field [0001] The invention belongs to the technical field of camera calibration in traditional photogrammetry, and in particular relates to a method for automatically extracting a calibration object in camera calibration. Background technique [0002] In the prior art, it is one of the basic tasks of computer vision to calculate the geometric information of the object in the three-dimensional space from the image information obtained by the camera, and thus reconstruct and recognize the object. The relationship between the three-dimensional geometric position of a point on the surface of a space object and its corresponding point in the image is determined by the geometric model of the camera imaging, and these geometric model parameters are camera parameters. Under most conditions, these parameters must be obtained through experiments and calculations. This process is called camera calibration or camera calibration. [0003] The document "Image Processing, Analys...

AI Technical Summary

Problems solved by technology

However, this automatic search method has many limitations. The grid has a high degree of symmetry, so each calibration point of the grid template does not have a special mark to distinguish it from other calibration points. We cannot assert from a single calibration point its location information

Therefore, manual intervention is used in many cases, and the collinearity of many calibration points reduces the calibration accuracy.

And only the inner orientation elements can be calculated

The self-calibration method is unstable, and there are often no solutions. Only free models can be established, and further absolute orientation is required.

Moreover, the limitation of the planar grid is that only the geometric information of the calibration object is used, but the chromaticity information of the calibration object is not used

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