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Surface Registration Using Extended Polar Maps

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Book cover Computer Vision – ACCV 2006 (ACCV 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3851))

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Abstract

In this paper, we are presenting a new surface signature-based representation that is orientation-independent and can be used to match and align surfaces under rigid transformation including uniform scaling. The proposed scheme represents the surface signatures as extended polar maps. Correlation of the maps is used to establish point correspondences between two views; from these correspondences a rigid transformation, including uniform scaling, that aligns the views is calculated. The effectiveness of the proposed scheme is demonstrated through several registration experiments.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Cairo University, Giza, Egypt

    Elsayed E. Hemayed

Authors
  1. Elsayed E. Hemayed
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Editor information

Editors and Affiliations

  1. International Institute of Information Technology, Center for Visual Information Technology, Hyderabad, India

    P. J. Narayanan

  2. Department of Computer Science, Columbia University, 500 West 120th Street, 10027, New York, NY, USA

    Shree K. Nayar

  3. Microsoft Research Asia, Beijing, P.R. China

    Heung-Yeung Shum

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© 2006 Springer-Verlag Berlin Heidelberg

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Hemayed, E.E. (2006). Surface Registration Using Extended Polar Maps. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_94

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  • DOI: https://doi.org/10.1007/11612032_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31219-2

  • Online ISBN: 978-3-540-32433-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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