1D Infrared Camera Distortion Based on Polynomial Model

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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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  -