Parameter calibration method and device

Abstract

The invention discloses a parameter calibration method. The method comprises steps of acquiring a calibration template image which is obtained by photographing of a calibration template image; performing corner detection for the calibration template image so as to extract an image corner; calculating radial distortion parameters in accordance with the extracted image corner; performing radial distortion correction in accordance with the calculated radial distortion parameters so as to reconstruct a distortion correction image; and according to a perspective projection relation of the calibration template and the reconstructed distortion correction image, calculating internal parameters and external parameters so as to achieve parameter calibration, wherein internal parameters and external parameters comprise internal parameter matrixes, rotating vectors and translation vectors. The invention also provides a parameter calibration device. The method and the device can be applied to parameter calibration of imaging devices such as video cameras or cameras under the condition of high distortion, the operation is simple and the precision is high.

Description

technical field [0001] The invention relates to the fields of computer vision and image measurement, in particular to a camera calibration method and device. Background technique [0002] In the process of image measurement and computer vision applications, in order to determine 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, it is necessary to establish a geometric model of imaging. The parameters of the device, under most conditions, these parameters must be obtained through experiments and calculations. The process of solving the parameters is called camera calibration (or camera calibration). Taking camera calibration as an example, existing camera calibration methods can generally be divided into two categories: traditional calibration methods based on calibration objects, and self-calibration methods based on image sequences. [0003] Among the traditional calibrati...

AI Technical Summary

Problems solved by technology

The two-step method divides the calibration work into two steps. First, the perspective projection matrix is ​​determined, and then the internal and external parameters of the camera are recovered from the perspective projection matrix. Since this method needs to make high-precision three-dimensional calibration blocks, it is inconvenient to implement

[0005] On the other hand, camera distortion modeling and calibration is also a very important content. There are more or less lens distortions in actual cameras. There are

Images