A new calibration model of camera lens distortion

Besides, the traditional method consists of three types: the linear method, nonlinear optimization method, and the two-step method. In general, to satisfy the high-accuracy requirement, we always make use of the traditional camera calibration method. The traditional camera calibration methods use scene information, including the points or lines with precise coordinates, to solve camera parameters, while self-calibration methods only use the relationship between the sequences of images to solve the camera parameters.

Nowadays, the techniques of camera calibration can be divided into two categories: the traditional camera calibration and the self-calibration of the camera. Therefore, the study of a flexible and high-precision camera calibration method has very important significance. Camera calibration precision directly affects the measuring accuracy of vision measurement system. The intrinsic parameters describe the geometry of imaging process, while the extrinsic parameters indicate camera position and attitude in the world coordinate system. Camera model parameters include intrinsic and extrinsic parameters. IntroductionД¬amera calibration is an important part of the application of photogrammetry that aims to compute the camera model parameters from two-dimensional images. Experimental results show that the proposed method can be obtaining a higher accuracy than the classical methods. Both simulation and real data experiment demonstrate the robustness and accuracy of the proposed method. Moreover, whether it is for relatively small image distortion or distortion larger image, utilizing our method can get a good result. In the proposed method, the distortion coefficients and intrinsic parameters are successfully decoupled calibration accuracy is further improved through the subsequent optimization process. Finally, the intrinsic parameters of the camera are optimized via the Levenberg-Marquardt algorithm.

Then, based on the radial distortion of the division model, the camera intrinsic parameters and distortion coefficients are solved in a linear way independently. Firstly, we compute the center of radial distortion, which is important to obtain optimal results.

In this paper, we propose a flexible and high-accuracy method to calibrate a camera. Camera calibration is a necessary process in the field of vision measurement.

A new calibration model of camera lens distortion