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Transformation Polytopes for Line Correspondences in Digital Images

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Combinatorial Image Analysis (IWCIA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4958))

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Abstract

We present an uncertainty model for geometric transformations, based on polygonal uncertainty regions and transformation polytopes. The main contribution of this paper is a systematic approach for the computation of regions of interest for features by using the uncertainty model. The focus is on the solution of transformation problems for geometric primitives, especially lines, so that regions of interest can be computed for corresponding geometric features in distinct images.

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Authors and Affiliations

  1. University College Ghent, Engineering Sciences, Ghent University Association, Schoonmeersstraat 52, B9000, Ghent, Belgium

    Kristof Teelen & Peter Veelaert

Authors
  1. Kristof Teelen
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  2. Peter Veelaert
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Valentin E. Brimkov Reneta P. Barneva Herbert A. Hauptman

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© 2008 Springer-Verlag Berlin Heidelberg

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Teelen, K., Veelaert, P. (2008). Transformation Polytopes for Line Correspondences in Digital Images. In: Brimkov, V.E., Barneva, R.P., Hauptman, H.A. (eds) Combinatorial Image Analysis. IWCIA 2008. Lecture Notes in Computer Science, vol 4958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78275-9_21

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  • DOI: https://doi.org/10.1007/978-3-540-78275-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78274-2

  • Online ISBN: 978-3-540-78275-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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