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Towards Fuzzy Calibration

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Advances in Soft Computing — AFSS 2002 (AFSS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2275))

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Abstract

A framework for fuzzy calibration is introduced here. Fuzzy calibration is necessary to account for the imprecision of the camera model that can be computed during calibration. It is the first step of a fuzzy vision framework in which the uncertainties are propagated forward through the different levels of processing until precise values are absolutely necessary. We present the fuzzy calibration framework for weak and strong calibration. We also present some thoughts outlining how such calibration can be used in higher levels of vision processing.

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Author information

Authors and Affiliations

  1. International Institute of Information Technology, 500019, Gachibowli, Hyderabad, India

    C. V. Jawahar & P. J. Narayanan

Authors
  1. C. V. Jawahar
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  2. P. J. Narayanan
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Editor information

Editors and Affiliations

  1. Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 B.T. Road, 700108, Calcutta, India

    Nikhil R. Pal

  2. Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Japan

    Michio Sugeno

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© 2002 Springer-Verlag Berlin Heidelberg

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Jawahar, C.V., Narayanan, P.J. (2002). Towards Fuzzy Calibration. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_54

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  • DOI: https://doi.org/10.1007/3-540-45631-7_54

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43150-3

  • Online ISBN: 978-3-540-45631-5

  • eBook Packages: Springer Book Archive

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