## Matlab摄像机成像模型与标定算法研究+源程序

The camera imaging model and the calibration algorithm research
Abstract: In the image measurement and machine vision applications, for determining three-dimensional geometry location of one point in the spatial objects’ surface and its relationship between its corresponding points in the images, we need to build the geometric model of camera imaging and thus reconstruct and recognize objects. The geometric model’ parameters are camera parameters. In most conditions, these parameters must be obtained by experiment and calculation, and this process of solving the parameters is called camera calibration. Camera parameters calibration is the first step in the optical non-contact 3D

measurement, and its results’ accuracy and stability of the algorithm directly affect the accuracy of the result worked by the cameras. In this paper, the basic principles of camera calibration are first analyzed, and then we focus on several methods of camera calibration and the process of its accomplishment. The basic methods of camera calibration can be pided into two categories: traditional camera calibration methods, such as direct linear transformation method (DLT method), R. Tsai’ RAC method, Zhang Zhengyou’ plane calibration, Meng Xiaoqiao and Hu Zhanyi’ round calibration method, as well as the camera self-calibration methods, such as self-calibration based on Kruppa equations method, self-calibration based on quadric method, etc. Hardly，some ways are not involved in these two types of methods, such as active vision camera calibration method. In the paper, based on the geometric model of camera imaging, the design of these methods is analyzed, the process of camera calibration is completed, and the advantages and disadvantages of several methods with their used field are presented. The camera calibration is provided reference in the practical application, and a more reasonable calibration method which will be further chosen is provided theoretical and practical reference.
Keywords: camera calibration; intrinsic parameter; external parameters; distortion; corner detection

1 前言    1
2 绪论    2
2.1 摄像机标定的背景    2
2.2 摄像机标定的意义    2
2.3 文本研究的内容    3
3 摄像机标定的基本原理    4
3.1 摄像机成像模型    4 Matlab摄像机成像模型与标定算法研究+源程序:http://www.lwfree.cn/zidonghua/20180508/15149.html
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