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Plane Filtering for the Registration of Urban Range Laser Imagery

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Pattern Recognition and Image Analysis (IbPRIA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5524))

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Abstract

A method for the registration between pairs of range images is proposed, taking advantage of the typical structures of an urban scene. The detection of large planes representing walls of buildings is the main step in the proposed method. Following steps are based on the use of descriptors for every image and the posterior matching between them.

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Author information

Authors and Affiliations

  1. Department of Computing Science, Universitat Autònoma de Barcelona, Barcelona, Spain

    Xavier Mateo

  2. Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain

    Xavier Binefa

Authors
  1. Xavier Mateo
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  2. Xavier Binefa
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Editor information

Editors and Affiliations

  1. Institute of Systems and Robotics, Dept. of Electrical and Computer Eng.-Polo II, University of Coimbra, 3030-290, Coimbra, Portugal

    Helder Araujo

  2. Institute of Biomedical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Ana Maria Mendonça

  3. Dept. de Electrónica e Telecomunicações / IEETA, Universidade de Aveiro, Signal Processing Lab, DETI/IEETA, University of Aveiro, 3810–193, Aveiro, Portugal

    Armando J. Pinho

  4. Departamento de Electricidad y Electrónica, Fac. Ciencia y Tecnología - UPV/EHU, Universidad del País Vasco, Apartado 644, 48080, Bilbao, Spain

    María Inés Torres

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© 2009 Springer-Verlag Berlin Heidelberg

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Mateo, X., Binefa, X. (2009). Plane Filtering for the Registration of Urban Range Laser Imagery. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-02172-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02171-8

  • Online ISBN: 978-3-642-02172-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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