Geometric calibration of full spherical panoramic ricoh-theta camera

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Aghayari, S.; Saadatseresht, Mohammad; Omidalizarandi, Mohammad; Neumann, Ingo: Geometric calibration of full spherical panoramic ricoh-theta camera. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1/W1 (2017), S. 237-245. DOI: https://doi.org/10.5194/isprs-annals-iv-1-w1-237-2017

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/5180

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Sum total of downloads: 499




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Abstract: 
A novel calibration process of RICOH-THETA, full-view fisheye camera, is proposed which has numerous applications as a low cost sensor in different disciplines such as photogrammetry, robotic and machine vision and so on. Ricoh Company developed this camera in 2014 that consists of two lenses and is able to capture the whole surrounding environment in one shot. In this research, each lens is calibrated separately and interior/relative orientation parameters (IOPs and ROPs) of the camera are determined on the basis of designed calibration network on the central and side images captured by the aforementioned lenses. Accordingly, designed calibration network is considered as a free distortion grid and applied to the measured control points in the image space as correction terms by means of bilinear interpolation. By performing corresponding corrections, image coordinates are transformed to the unit sphere as an intermediate space between object space and image space in the form of spherical coordinates. Afterwards, IOPs and EOPs of each lens are determined separately through statistical bundle adjustment procedure based on collinearity condition equations. Subsequently, ROPs of two lenses is computed from both EOPs. Our experiments show that by applying 3*3 free distortion grid, image measurements residuals diminish from 1.5 to 0.25 degrees on aforementioned unit sphere.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 99 19.84%
2 image of flag of Japan Japan 65 13.03%
3 image of flag of United States United States 38 7.62%
4 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 27 5.41%
5 image of flag of China China 26 5.21%
6 image of flag of Taiwan Taiwan 20 4.01%
7 image of flag of Italy Italy 19 3.81%
8 image of flag of United Kingdom United Kingdom 16 3.21%
9 image of flag of France France 16 3.21%
10 image of flag of Korea, Republic of Korea, Republic of 14 2.81%
    other countries 159 31.86%

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