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Outliers in 3D Point Clouds Applied to Efficient Image-Guided Localization

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Bildverarbeitung für die Medizin 2015

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

In this work, the tasks of improving positioning efficiency and minimization of space requirements in image-based navigation are explored. We proved the assumption that it is possible to reduce imagematching time and to increase storage capacities by removing outliers from 3D models used for localization, by applying three outlier removal methods to our datasets and observing the localization associated with the resulting models.

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References

  1. Kochanov D, Jonas S, Hamadeh N, et al. Urban positioning using smartphonebased imaging. Proc BVM. 2014; p. 186–191.

    Google Scholar 

  2. Grubbs FE. Procedures for detecting outlying observations in samples. Technometrics. 1969;11(1):1–21.

    Article  Google Scholar 

  3. Sotoodeh S. Outlier detection in laser scanner point clouds. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVI-5; 2006. p. 297–302.

    Google Scholar 

  4. Wang J, Xu K, Liu L, et al. Consolidation of low-quality point clouds from outdoor scenes. Comput Graph Forum. 2013;32(5):207–10.

    Article  Google Scholar 

  5. Breunig MM, Kriegel HP, Ng RT, et al. LOF: identifying density-based local outliers. Proc ACM SIGMOD. 2000; p. 93–104.

    Google Scholar 

  6. Wu C. Towards linear-time incremental structure from motion. Proc 3DV. 2013; p. 127–134.

    Google Scholar 

  7. OpenStreetMap. OpenStreetMap contributors; 2014. [Online; accessed 2014 Jul 21]. Available from: https://www.openstreetmap.org/.

  8. Strecha C, Pylv¨an¨ainen T, Fua P. Dynamic and scalable large scale image reconstruction. Proc IEEE CVPR. 2010; p. 406–413.

    Google Scholar 

  9. Untzelmann O, Sattler T, Middelberg S, et al. A scalable collaborative online system for city reconstruction. Proc IEEE ICCVW. 2013; p. 644–651.

    Google Scholar 

  10. Zhang Z. Iterative point matching for registration of free-form curves and surfaces. Int J Comput Vision. 1994 Oct;13(2):119–152.

    Article  Google Scholar 

  11. Modsching M, Kramer R, ten Hagen K. Field trial on GPS accuracy in a medium size city: the influence of built-up. Proc 3rd Workshop on Positioning, Navigation and Communication. 2006; p. 209–218.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institut für Medizinische Informatik, RWTH Aachen, Aachen, Deutschland

    Ekaterina Sirazitdinova, Stephan M. Jonas, Deyvid Kochanov & Thomas M. Deserno

  2. Applied Biomedical Systems, Maastricht, Netherlands

    Jan Lensen, Richard Houben & Hans Slijp

Authors
  1. Ekaterina Sirazitdinova
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  2. Stephan M. Jonas
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  3. Deyvid Kochanov
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  4. Jan Lensen
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  5. Richard Houben
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  6. Hans Slijp
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  7. Thomas M. Deserno
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Corresponding author

Correspondence to Ekaterina Sirazitdinova .

Editor information

Editors and Affiliations

  1. Lübeck, Germany

    Heinz Handels

  2. RWTH Aachen Inst. Medizinische Informatik, Aachen, Germany

    Thomas Martin Deserno

  3. Heidelberg, Germany

    Hans-Peter Meinzer

  4. Berlin, Berlin, Germany

    Thomas Tolxdorff

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© 2015 Springer-Verlag Berlin Heidelberg

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Sirazitdinova, E. et al. (2015). Outliers in 3D Point Clouds Applied to Efficient Image-Guided Localization. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_35

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  • DOI: https://doi.org/10.1007/978-3-662-46224-9_35

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46223-2

  • Online ISBN: 978-3-662-46224-9

  • eBook Packages: Computer Science and Engineering (German Language)

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