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Complex Fittings

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Advances in Pattern Recognition — ICAPR 2001 (ICAPR 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2013))

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Abstract

Fitting models with several components to data consists of the two operations of identifying components with subsets of the data and of fine tuning. These operations are elaborated for polygon fitting as a sample case. The frequently used iterative closest point ICP algorithm is replaced by an iterative best point IBP algorithm.

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Author information

Authors and Affiliations

  1. Forschungsinstitut für anwendungsorientierte Wissensverarbeitung FAW, Helmholtzstr. 16, 89081, Ulm, Germany

    Thomas Kämpke

Authors
  1. Thomas Kämpke
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Exeter, EX4 4PT, Exeter, UK

    Sameer Singh

  2. Computational Intelligence Group, Tuiuti University of Parana, Curitiba, Brazil

    Nabeel Murshed

  3. Institute of Computer Aided Automation PRIP-Group 1832, Vienna University of Technology, Favoritenstr. 9/2/4, 1040, Wien, Austria

    Walter Kropatsch

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© 2001 Springer-Verlag Berlin Heidelberg

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Kämpke, T. (2001). Complex Fittings. In: Singh, S., Murshed, N., Kropatsch, W. (eds) Advances in Pattern Recognition — ICAPR 2001. ICAPR 2001. Lecture Notes in Computer Science, vol 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44732-6_27

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  • DOI: https://doi.org/10.1007/3-540-44732-6_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41767-5

  • Online ISBN: 978-3-540-44732-0

  • eBook Packages: Springer Book Archive

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