Robust Calibration of Cameras with Telephoto Lens Using Regularized Least Squares

Author:

Liang Mingpei1,Huang Xinyu1,Chen Chung-Hao2ORCID,Zheng Gaolin1,Tokuta Alade1

Affiliation:

1. North Carolina Central University, Durham, NC 27707, USA

2. Old Dominion University, Norfolk, VA 23529, USA

Abstract

Cameras with telephoto lens are usually used to recover details of an object that is either small or located far away from the cameras. However, the calibration of this kind of cameras is not as accurate as the one of cameras with short focal lengths that are commonly used in many vision applications. This paper has two contributions. First, we present a first-order error analysis that shows the relation between focal length and estimation uncertainties of camera parameters. To our knowledge, this error analysis with respect to focal length has not been studied in the area of camera calibration. Second, we propose a robust algorithm to calibrate the camera with a long focal length without using additional devices. By adding a regularization term, our algorithm makes the estimation of the image of the absolute conic well posed. As a consequence, the covariance of camera parameters can be reduced greatly. We further used simulations and real data to verify our proposed algorithm and obtained very stable results.

Funder

National Science Foundation

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Telephoto camera calibration based on robust homography matrix;Third International Conference on Optics and Communication Technology (ICOCT 2023);2023-12-15

2. 基于仿射近似投影模型的长焦相机标定方法;Acta Optica Sinica;2023

3. 基于圆锥曲线和直线融合特征的长焦相机标定方法;Acta Optica Sinica;2022

4. Evaluation of Geometrical Modulation Transfer Function in Optical Lens System;Mathematical Problems in Engineering;2015

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