Nonlinear Distortions Self-correction for Videogrammetric Measurement

DOI

10.2991/lemcs-14.2014.147How to use a DOI?

Keywords

videogrammetric measurement;machine vision; camera calibration; distortion coefficients; coplanar condition equations

Abstract

The nonlinear distortions of camera optical system produced by fabricating and assembling errors can generate the differences between real image and ideal image to some extent. As a result, a method of high accurate camera self-calibration is presented in this paper, following the coplanar principle of homologous points on different view-angle images. The coplanar condition equations with nonlinear distortion coefficients are deduced, and their numerical calculation method is established based on the generalized inverse method of least square solution to achieve the nonlinear distortion parameters of the camera. The several examples, including a calibration at 2.4m×2.4m transonic wind tunnel test section in China Aerodynamics Research and Development Center, have demonstrated this method is correct, and distortion coefficients can be obtained by inputting different view-angle images with more than six code points. Therefore this approach is simple and efficiency for it needn’t high precise calibration objects or accurate camera movements, its cost is low.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhengyu Zhang
AU  - Xuhui Huang
AU  - Long Zhu
AU  - Jiang Yin
PY  - 2014/05
DA  - 2014/05
TI  - Nonlinear Distortions Self-correction for Videogrammetric Measurement
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 644
EP  - 648
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.147
DO  - 10.2991/lemcs-14.2014.147
ID  - Zhang2014/05
ER  -