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Robust Calibration of Cameras with Telephoto Lens Using Regularized Least Squares.

Authors :
Mingpei Liang
Xinyu Huang
Chung-Hao Chen
Gaolin Zheng
Alade Tokuta
Source :
Mathematical Problems in Engineering. 2014, p1-9. 9p.
Publication Year :
2014

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1024123X
Database :
Academic Search Index
Journal :
Mathematical Problems in Engineering
Publication Type :
Academic Journal
Accession number :
100526910
Full Text :
https://doi.org/10.1155/2014/689429