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Reseach Article

Repeatable Extrinsic Stereo Camera Calibration by Moving Chessboard in a Straight-line

by Megha Simlote, Pratibha Agrawal, Sunil Pathak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 52
Year of Publication: 2019
Authors: Megha Simlote, Pratibha Agrawal, Sunil Pathak
10.5120/ijca2019919377

Megha Simlote, Pratibha Agrawal, Sunil Pathak . Repeatable Extrinsic Stereo Camera Calibration by Moving Chessboard in a Straight-line. International Journal of Computer Applications. 178, 52 ( Sep 2019), 1-4. DOI=10.5120/ijca2019919377

@article{ 10.5120/ijca2019919377,
author = { Megha Simlote, Pratibha Agrawal, Sunil Pathak },
title = { Repeatable Extrinsic Stereo Camera Calibration by Moving Chessboard in a Straight-line },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 52 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number52/30904-2019919377/ },
doi = { 10.5120/ijca2019919377 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:48.307323+05:30
%A Megha Simlote
%A Pratibha Agrawal
%A Sunil Pathak
%T Repeatable Extrinsic Stereo Camera Calibration by Moving Chessboard in a Straight-line
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 52
%P 1-4
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Camera calibration is the procedure of identifying camera parameters for rectifying and un-distorting the images. In this paper Calibration of Stereo Camera using the set of images taken by 2 cameras (from left and right direction) and study about the stability as well as statically analysis of parameters is carried out by physically changes the angle of camera. For estimating extrinsic parameters the images could be taken in a way, covering whole surface area of the camera sensor i.e. at different depth and orientation but later, it was observed that if the images taken were in a straight line at different depths covering the same area of camera sensor then the repeatability could be seen in the results of extrinsic parameters.

References
  1. Effects of Camera Alignment Errors on Stereoscopic Depth Estimates,1996 by Wenyi Zhao , N. Nandhakumar Pattern Recognition Volume 29, Issue 12, December 1996, Pages 2115-2126
  2. G.P.Stein, “Accurate internal camera calibration using rotation, with analysis of sources of error,” in Proceedings of the 5th International Conference on Computer Vision (ICCV ’95), pp. 230–236,Cambridge,Mass,USA,June1995.
  3. Error Analysis of Calibration Parameters Estimation for Binocular Stereo Vision System ,2003 by Sergiu Nedevschi, Tiberiu Marita, Radu Danescu, Florin Oniga, Dan Frentiu, Ciprian Pocol microCAD International Scientific Conference, March, Miskolc, Hungary, pp. 51-56
  4. Camera Calibration Method for Far Range Stereovision Sensors Used in Vehicles, by T. Marita ; F. Oniga ; S. Nedevschi ; T. Graf ; R. Schmidt, Intelligent Vehicles Symposium, 2006 IEEE Intelligent Vehicles Symposium
  5. Calibration Accuracy Assessment Methods for Stereovision Sensors Used in Vehicles, 2007 by Tiberiu Marita ; Florin Oniga ; Sergiu Nedevschi ; Thorsten Graf,Intelligent Computer Communication and Processing, 2007 IEEE International Conference on Intelligent Computer Communication and Processing
  6. How accurate can a stereovision measurement be ?, 2014 by Kristiaan Schreve,Research and Education in Mechatronics (REM), 2014 15th International Workshop Research and Education in Mechatronics (REM)
  7. A Flexible Online Camera Calibration Using Line Segments, 2015 by Yueqiang Zhang,1,2 Langming Zhou,1,2 Haibo Liu,1,2 and Yang Shang1,2,Journal of sensors.
  8. https://pypi.org/project/opencv-python
  9. Using vanishing points for camera calibration and coarse 3D reconstruction from a single image (E.Guillou, D.Meneveaux, E.Maisel, K.Bouatouch ),IRISA, Campus de Beaulieu, 35042 Rennes cedex, France
  10. F. C. Wu, Z. Y. Hu, and H. J. Zhu, “Camera calibration with moving one-dimensional objects,” Pattern Recognition, vol.38, no.5, pp.755–765,2005.
  11. Z. Zhang, “A Flexible New Technique for Camera Calibration,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, Nov. 2000
  12. A. Heyden and M. Pollefeys, “Multiple View Geometry,” Emerging Topics in Computer Vision, G. Medioni and S.B. Kang, eds., chapter 3, pp. 45-108, Prentice Hall, 2003.
  13. Douskos, V.; Kalisperakis, I.; Karras, G.; Petsa, E. Fully automatic camera calibration using regular planar patterns. Int. Arch. Photogram. Remote Sens. Spatial Inf. Sci. 2008, 37, 21–26
  14. Kwon, H., Park, J., and Kak, A. C. (2007). A New Approach for Active Stereo Camera Calibration. In Proceedings 2007 IEEE International Conference on Robotics and Automation, pages 3180–3185. IEEE.
  15. Lhuillier, M. (2008). Automatic scene structure and camera motion using a catadioptric system. Computer Vision and Image Understanding, 109(2):186–203.
  16. Lim, J., Barnes, N., and Li, H. (2010). Estimating relative camera motion from the antipodal-epipolar constraint. IEEE transactions on pattern analysis and machine intelligence, 32(10):1907–1914.
  17. J. Lim, N. Barnes, and H. Li, “Estimating relative camera motion from the antipodal-epipolar constraint,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 10, pp. 1907–1914, 2010.
  18. M. Lhuillier, “Automatic scene structure and camera motion using a catadioptric system,” Computer Vision and Image Understanding, vol. 109, no. 2, pp. 186–203, 2008.
  19. J. Chen, K. Benzeroual, and R. S. Allison, “Calibration for high-definition camera rigs with marker chessboard,” in Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW '12), pp. 29–36, June 2012.
  20. J. Chen, K. Benzeroual, and R. S. Allison, “Robust homography for real-time image un-distortion,” in Proceedings of the 2013 International Conference on 3D Imaging (IC3D '13), pp. 1–8, December 2013.
Index Terms

Computer Science
Information Sciences

Keywords

2D Image 3D Image Camera Calibration Chessboard angle.