Skip to main content

Evaluation of Structure Recognition Using Labelled Facade Images

  • Conference paper
Pattern Recognition (DAGM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5748))

Included in the following conference series:

Abstract

In 3d city modelling the request for details is permanently growing. Because of that automatic facade reconstruction methods are needed. Structure information plays an important role in facade reconstruction since facade elements like windows are arranged in structural patterns. In this paper we present a facade grammar which models these structures. This grammar is used in an rjMCMC based facade reconstruction method. We evaluate the reconstruction method using the eTRIMS [1] image database.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Korč, F., Förstner, W.: eTRIMS Image Database for interpreting images of man-made scenes. Technical Report TR-IGG-P-2009-01 (April 2009)

    Google Scholar 

  2. Pu, S.: Automatic building modeling from terrestrial laser scanning. In: Advances in 3D Geoinformation Systems. Lecture Notes in Geoinformation and Cartography, pp. 147–160. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  3. Becker, S., Haala, N.: Integrated lidar and image processing for the modelling of building facades. Photogrammetrie Fernerkundung Geoinformation 2, 65–81 (2008)

    Google Scholar 

  4. Reznik, S., Mayer, H.: Implicit shape models, self diagnosis, and model selection for 3d facade interpretation. Photogrammetrie Fernerkundung Geoinformation 3, 187–196 (2008)

    Google Scholar 

  5. Dick, A.R., Torr, P.H.S., Cipolla, R., Ribarsky, W.: Modelling and interpretation of architecture from several images. International Journal of Computer Vision 60(2), 111–134 (2004)

    Article  Google Scholar 

  6. van Gool, L., Zeng, G., van den Borre, F., Müller, P.: Towards mass-produced building models. In: Photogrammetric Image Analysis 2007 (2007)

    Google Scholar 

  7. Liu, Y., Collins, R.T., Tsin, Y.: A computational model for periodic pattern perception based on frieze and wallpaper groups. IEEE Transactions on Pattern Analysis and Machine Intellegence 26(3), 354–371 (2004)

    Article  Google Scholar 

  8. Pauly, M., Mitra, N.J., Wallner, J., Pottmann, H., Guibas, L.: Discovering structural regularity in 3D geometry. ACM Transactions on Graphics 27(3), 1–11 (2008)

    Article  Google Scholar 

  9. Bokeloh, M., Berner, A., Wand, M., Seidel, H.-P., Schilling, A.: Symmetry detection using line features. In: Computer Graphics Forum (Proceedings of Eurographics) (2009)

    Google Scholar 

  10. Green, P.J.: Reversible jump markov chain monte carlo computation and bayesian model determination. Biometrika 82(4), 711–732 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  11. Ripperda, N.: Grammar based facade reconstruction using rjMCMC. Photogrammetrie Fernerkundung Geoinformation 2, 83–92 (2008)

    Google Scholar 

  12. Rissanen, J.: Modeling by shortest data description. Automatica 14, 465–471 (1978)

    Article  MATH  Google Scholar 

  13. Fua, P., Hanson, A.: Objective functions for feature discrimination. In: Proceedings of the Eleventh International Joint Conference on Artificial Intellegence, pp. 1596–1602 (1989)

    Google Scholar 

  14. Ripperda, N.: Determination of facade attributes for facade reconstruction. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 37, pp. 285–290 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ripperda, N., Brenner, C. (2009). Evaluation of Structure Recognition Using Labelled Facade Images. In: Denzler, J., Notni, G., Süße, H. (eds) Pattern Recognition. DAGM 2009. Lecture Notes in Computer Science, vol 5748. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03798-6_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03798-6_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03797-9

  • Online ISBN: 978-3-642-03798-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics