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Modelling Needle-Map Consistency with Novel Constraints

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Computer Analysis of Images and Patterns (CAIP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1689))

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Abstract

This paper addresses two fundamental criticisms of existing global shape-from-shading techniques. Firstly, we introduce a new update framework which ensures data-closeness at all stages whilst iteratively recovering the needle-map by treating the image irradiance equation as a hard constraint. Secondly, we apply the apparatus of robust statistics and novel constraints on needle-map smoothness to accomodate surface orientation discontinuities in a principled fashion.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of York, UK

    Philip L. Worthington & Edwin R. Hancock

Authors
  1. Philip L. Worthington
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  2. Edwin R. Hancock
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Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Science, Tržaška cesta 25, 1001, Ljubljana, Slovenia

    Franc Solina  & Alešs Leonardis  & 

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© 1999 Springer-Verlag Berlin Heidelberg

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Worthington, P.L., Hancock, E.R. (1999). Modelling Needle-Map Consistency with Novel Constraints. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_60

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  • DOI: https://doi.org/10.1007/3-540-48375-6_60

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66366-9

  • Online ISBN: 978-3-540-48375-5

  • eBook Packages: Springer Book Archive

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