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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 31, Number 11(4) (2019)
Copyright(C) MYU K.K.
pp. 3885-3897
S&M2057 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2609
Published: November 30, 2019

Correlation Analysis of Fish-eye Lens Camera for Acquiring Reliable Orientation Parameters [PDF]

Kang Hyeok Choi, Yongmin Kim, and Changjae Kim

(Received September 8, 2019; Accepted November 13, 2019)

Keywords: fish-eye lens camera, perspective projection camera, reliable orientation parameters, correlation analysis, test bed shapes

The fish-eye lens camera has the advantage of efficient acquisition of image data through a wide field of view. However, unlike the perspective projection camera, a strong geometric distortion effect appears in the image. Such characteristics must be precisely analyzed through self-calibration to determine the interior characteristics of the camera. The reliability of the derived camera parameters is highly affected by the correlation between orientation parameters. However, a detailed analysis of the correlation between the orientation parameters of the fish-eye lens is insufficient. In this research, we compared the correlation tendency while considering different types of test beds and projection models. As the shape of the test bed changed, the correlation of the perspective projection and fish-eye lens cameras showed a distinctly different tendency. On the basis of the results of correlation analysis, guidelines for acquiring reliable interior orientation parameters (IOPs) and exterior orientation parameters (EOPs) of a camera were provided.

Corresponding author: Changjae Kim


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Cite this article
Kang Hyeok Choi, Yongmin Kim, and Changjae Kim, Correlation Analysis of Fish-eye Lens Camera for Acquiring Reliable Orientation Parameters, Sens. Mater., Vol. 31, No. 11, 2019, p. 3885-3897.



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