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Comparison of Calibration Methods for Omnidirectional Cameras

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Omnidirectional Vision Systems

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

The number of calibration methods for central catadioptric has increased in recent years. These methods are based on different camera models and they can either consider the central catadioptric system as a whole or as a separated camera and mirror system. Many times the user requires a versatile calibration solution without spending valuable time in the implementation of a particular method. In this chapter, we review the existing methods designed to calibrate any central omnivision system and analyze their advantages and drawbacks doing a deep comparison using simulated and real data. First we present a classification of such methods showing the most relevant characteristics of each particular method. Then we select the methods available as OpenSource and which do not require a complex pattern or scene. The evaluation protocol of calibration accuracy also considers 3D metric reconstruction combining omnidirectional images. Comparative results are shown and discussed in detail.

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Notes

  1. 1.

    http://www.robots.ox.ac.uk/~cmei/Toolbox.html

  2. 2.

    http://webdiis.unizar.es/~lpuig/DLTOmniCalibration

  3. 3.

    http://www.isr.uc.pt/~jpbar/CatPack/main.htm

  4. 4.

    http://asl.epfl.ch/~scaramuz/research/Davide_Scaramuzza_files/Research/OcamCalib_Tutorial.htm

  5. 5.

    This algorithm is provided by the lsqnonlin Matlab function.

  6. 6.

    Neovision H3S with XCD-X710 SONY camera.

  7. 7.

    http://www.0-360.com

  8. 8.

    http://www.accowle.com

  9. 9.

    PhotoModeler software was used.

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Correspondence to Luis Puig .

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© 2013 Luis Puig

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Puig, L., Guerrero, J.J. (2013). Comparison of Calibration Methods for Omnidirectional Cameras. In: Omnidirectional Vision Systems. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4947-7_3

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  • DOI: https://doi.org/10.1007/978-1-4471-4947-7_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4946-0

  • Online ISBN: 978-1-4471-4947-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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