Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

1D Infrared Camera Distortion Based on Polynomial Model

Authors
Wenjian Qin, Zhicheng Li, Jia Gu, Ke Chen, Xiaoping Zhang
Corresponding Author
Wenjian Qin
Available Online August 2012.
DOI
10.2991/iccasm.2012.177How to use a DOI?
Keywords
Camera calibration, Lens distortion, Infrared camera
Abstract

In this paper, we propose a novel method for 1D infrared camera distortion based on polynomial model. We derive a 1D camera calibration algorithm and then estimate the distortion parameters by means of minimum calibration error. The used polynomial model is linear, such that the estimation can be finished with low computation burden without losing accuracy. The proposed method is validated with real images. The experimental results show that the distortion parameters can be estimated with high accuracy up to about 2-pixel mean error in less than 10 iterations.

Copyright
© 2012, 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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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
978-94-91216-00-8
ISSN
1951-6851
DOI
10.2991/iccasm.2012.177How to use a DOI?
Copyright
© 2012, 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/).

Cite this article

TY  - CONF
AU  - Wenjian Qin
AU  - Zhicheng Li
AU  - Jia Gu
AU  - Ke Chen
AU  - Xiaoping Zhang
PY  - 2012/08
DA  - 2012/08
TI  - 1D Infrared Camera Distortion Based on Polynomial Model
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 698
EP  - 701
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.177
DO  - 10.2991/iccasm.2012.177
ID  - Qin2012/08
ER  -