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Scandinavian Conference on Image Analysis

SCIA 2005: Image Analysis pp 224–234Cite as

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A New Method for Affine Registration of Images and Point Sets

A New Method for Affine Registration of Images and Point Sets

  • Juho Kannala19,
  • Esa Rahtu19,
  • Janne Heikkilä19 &
  • …
  • Mikko Salo20 
  • Conference paper
  • 2016 Accesses

  • 7 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 3540)

Abstract

In this paper we propose a novel method for affine registration of images and point patterns. The method is non-iterative and it directly utilizes the intensity distribution of the images or the spatial distribution of points in the patterns. The method can be used to align images of isolated objects or sets of 2D and 3D points. For Euclidean and similarity transformations the additional contraints can be easily embedded in the algorithm. The main advantage of the proposed method is its efficiency since the computational complexity is only linearly proportional to the number of pixels in the images (or to the number of points in the sets).In the experiments we have compared our method with some other non-feature-based registration methods and investigated its robustness. The experiments show that the proposed method is relatively robust so that it can be applied in practical circumstances.

Keywords

  • Binary Image
  • Similarity Transformation
  • Grayscale Image
  • Point Pattern
  • Registration Method

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Author information

Authors and Affiliations

  1. Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, P.O.Box 4500, 90014, Finland

    Juho Kannala, Esa Rahtu & Janne Heikkilä

  2. Rolf Nevanlinna Institute, Department of Mathematics and Statistics, University of Helsinki, P.O.Box 68, 00014, Finland

    Mikko Salo

Authors
  1. Juho Kannala
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  2. Esa Rahtu
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  3. Janne Heikkilä
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  4. Mikko Salo
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Editor information

Editors and Affiliations

  1. Department of Information Technology, Lappeenranta University of Technology, P.O.Box 20, FIN-53851, Lappeenranta, Finland

    Heikki Kalviainen

  2. Dept. of Computer Science, University of Joensuu, Finland

    Jussi Parkkinen

  3. Department of Information and Computer Sciences, Toyohashi University of Technology, 1-1 Hibarigaoka, Tenpaku-cho, 441-8580, Toyohashi, Japan

    Arto Kaarna

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kannala, J., Rahtu, E., Heikkilä, J., Salo, M. (2005). A New Method for Affine Registration of Images and Point Sets. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds) Image Analysis. SCIA 2005. Lecture Notes in Computer Science, vol 3540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499145_25

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  • DOI: https://doi.org/10.1007/11499145_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26320-3

  • Online ISBN: 978-3-540-31566-7

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