摄像机自动校准
摄像机切除
计算机视觉
人工智能
校准
计算机科学
特征(语言学)
对象(语法)
点(几何)
图像(数学)
数学
语言学
统计
哲学
几何学
标识
DOI:10.1007/978-981-19-7580-6_2
摘要
Camera calibration has the purpose to use the feature point coordinates (X, Y, Z) of a given 3-D space object and its image coordinates (x, y) in 2-D image space to calculate the internal and external parameters of the camera, thereby establishing the quantitative relationship between the objective scene and the captured image. This chapter will introduce the basic linear camera model, gives a typical calibration procedure, and discusses the internal and external parameters of the camera. This chapter will discuss typical nonlinear camera models, analyzes various types of distortions in detail, and summarizes the criteria and results for the classification of calibration methods. This chapter will introduce the traditional camera calibration method, analyzes its characteristics, and describes an example of a typical two-stage calibration method. In addition, an improved method is analyzed. This chapter will also introduce the self-calibration method (including the calibration method based on active vision). In addition to analyzing the advantages and disadvantages of this type of method, a simple calibration method is also specifically introduced.
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