A camera calibration method based on plane mirror and vanishing point constraint

Feng, Xiao-feng; Di-fu, Pan

doi:10.1016/j.ijleo.2017.10.086

Cited by 9 publications

(1 citation statement)

References 14 publications

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“…References [2] and [3] propose a method to self-calibrate dynamically moving and zooming cameras and determine their absolute and relative orientations. References [4] and [5] propose a camera calibration method, which uses the property of the vanishing points. The rotation matrix can be computed by matching the corresponding vanishing points in the two images, and a simple triangulation method can calculate the translation vector.…”

Section: Presents a Global Calibration Methodsmentioning

confidence: 99%

Calibration Method Based on the Image of the Absolute Quadratic Curve

Liu

et al. 2019

IEEE Access

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In this paper, a new camera calibration method based on the image of the absolute quadratic curve (IAC) is proposed, and a new target is designed for this method, which is both convenient and flexible. It first extracts the characteristic points and the characteristic lines of the target and finds out the vanishing point and the vanishing line. The radial and tangential distortion coefficients are obtained by using the cross ratio invariance to correct the target image distortion. Then, the four internal parameters of the camera are obtained by IAC. The influence of the skew parameters is ignored. The rotation matrix is then calculated by the orthogonal characteristic of the coordinate system, and the translation vector is calculated by the center coordinates of the camera. In this way, the internal and external parameters of the camera can be obtained. The internal and external parameters are taken as initial values, and the optimal results are obtained by nonlinear optimization using the reprojection method. Finally, the relative position between different target images can be obtained by using the fundamental matrix, namely, the rotation angle. In the process of solving, the normalization method is used to improve the accuracy of data processing. Not requiring any prior information of the camera, the method has a wide range of applications. INDEX TERMS Camera calibration, image of the absolute quadratic curve (IAC), fundamental matrix, cross ratio invariance, vanishing point, vanishing line, distortion correction.

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