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Segmentation of Building Facade Domes

  • Gayane Shalunts
  • Yll Haxhimusa
  • Robert Sablatnig
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

Domes are architectural structural elements typical for ecclesiastical and secular grand buildings, like churches, mosques, palaces, capitols and city halls. The current paper targets the problem of segmentation of domes within the framework of architectural style classification of building facades. We perform segmentation of building facade domes by combining bilateral symmetry detection, graph-based segmentation approaches and image analysis and processing technics into a single method. Our algorithm achieves good segmentation results on buildings belonging to variety of architectural styles, such as Renaissanse, Neo-Renaissance, Baroque, Neo-Baroque, Neoclassical and Islamic.

Keywords

Building facade domes bilateral symmetry segmentation 

References

  1. 1.
    Ali, H., Seifert, C., Jindal, N., Paletta, L., Paar, G.: Window detection in facades. In: Proc. of 14th ICIAP, pp. 837–842. Springer (2007)Google Scholar
  2. 2.
    Cornelis, N., Leibe, B., Cornelis, K., Gool, L.V.: 3d urban scene modeling integrating recognition and reconstruction. IJCV 78, 121–141 (2008)CrossRefGoogle Scholar
  3. 3.
    Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. IJCV 59(2), 167–181 (2004)CrossRefGoogle Scholar
  4. 4.
    Guigues, L., Herve, L.M., Cocquerez, J.P.: The hierarchy of the cocoons of a graph and its application to image segmentation. PRL 24(8), 1059–1066 (2003)zbMATHCrossRefGoogle Scholar
  5. 5.
    Haugeard, J.E., Philipp-Foliguet, S., Precioso, F.: Windows and facade retrieval using similarity on graphs of contours. In: ICIP, pp. 269–272 (2009)Google Scholar
  6. 6.
    Li, Y., Crandall, D., Huttenlocher, D.: Landmark classification in large-scale image collections. In: Proc. of IEEE 12th ICCV, pp. 1957–1964 (2009)Google Scholar
  7. 7.
    Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV 60(2), 91–110 (2004)CrossRefGoogle Scholar
  8. 8.
    Loy, G., Eklundh, J.-O.: Detecting Symmetry and Symmetric Constellations of Features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 508–521. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  9. 9.
    Mathias, M., Martinovic, A., Weissenberg, J., Haegler, S., Gool, L.V.: Automatic architectural style recognition. In: Proc. of the 4th International Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures. International Society for Photogrammetry and Remote Sensing, Trento, Italy (2011)Google Scholar
  10. 10.
    Recky, M., Leberl, F.: Window detection in complex facades. In: Proc. of 2nd EUVIP, pp. 220–225 (2010)Google Scholar
  11. 11.
    Recky, M., Leberl, F.: Windows detection using k-means in cie-lab color space. In: Proc. of 20th ICPR, pp. 356–360 (2010)Google Scholar
  12. 12.
    Shalunts, G., Haxhimusa, Y., Sablatnig, R.: Architectural Style Classification of Building Facade Windows. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Wang, S., Kyungnam, K., Benes, B., Moreland, K., Borst, C., DiVerdi, S., Yi-Jen, C., Ming, J. (eds.) ISVC 2011, Part II. LNCS, vol. 6939, pp. 280–289. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  13. 13.
    Shalunts, G., Haxhimusa, Y., Sablatnig, R.: Classification of gothic and baroque architectural elements. In: Proc. of the 19th IWSSIP, Vienna, Austria, pp. 330–333 (2012)Google Scholar
  14. 14.
    Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: exploring photo collections in 3d. ACM Transaction on Graphics 25, 835–846 (2006)CrossRefGoogle Scholar
  15. 15.
    Wenzel, S., Drauschke, M., Föstner, W.: Detection of repeated structures in facade images. Pattern Recognition and Image Analysis 18(3), 406–411 (2008)CrossRefGoogle Scholar
  16. 16.
    Zhang, W., Kosecka, J.: Hierarchical building recognition. Image and Vision Computing 25(5), 704–716 (2004)CrossRefGoogle Scholar
  17. 17.
    Zheng, Y.T., Zhao, M., Song, Y., Adam, H., Buddemeier, U., Bissacco, A., Brucher, F., Chua, T.S., Neven, H.: Tour the world: building a web-scale landmark recognition engine. In: Proc. of ICCV and PR, pp. 1085–1092 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Gayane Shalunts
    • 1
  • Yll Haxhimusa
    • 2
  • Robert Sablatnig
    • 1
  1. 1.Computer Vision LabVienna University of TechnologyAustria
  2. 2.Pattern Recongition and Image Processing LabVienna University of TechnologyAustria

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