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DOI: 10.14569/IJACSA.2015.061020
PDF

Effective Calibration and Evaluation of Multi-Camera Robotic Head

Author 1: Petra Kocmanova
Author 2: Ludek Zalud

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 10, 2015.

  • Abstract and Keywords
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Abstract: The paper deals with appropriate calibration of multispectral vision systems and evaluation of the calibration and data-fusion quality in real-world indoor and outdoor conditions. Checkerboard calibration pattern developed by our team for multispectral calibration of intrinsic and extrinsic parameters is described in detail. The circular object for multispectral fusion evaluation is described as well. The objects were used by our team for calibration and evaluation of advanced visual system of Orpheus-X3 robot that is taken as a demonstrator, but their use is much wider, and authors suggest to use them as testbed for visual measurement systems of mobile robots. To make the calibration easy and straightforward, the authors developed MultiSensCalib program in Matlab, containing all the described techniques. The software is provided as publicly available, including source code and testing images.

Keywords: calibration; camera; mobile robot; thermal imaging; data-fusion

Petra Kocmanova and Ludek Zalud, “Effective Calibration and Evaluation of Multi-Camera Robotic Head” International Journal of Advanced Computer Science and Applications(IJACSA), 6(10), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061020

@article{Kocmanova2015,
title = {Effective Calibration and Evaluation of Multi-Camera Robotic Head},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061020},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061020},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {10},
author = {Petra Kocmanova and Ludek Zalud}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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