Obtaining Structural Descriptions of Building Façades

Petar Vračar1, Igor Kononenko1 and Marko Robnik-Šikonja1

  1. Faculty of Computer and Information Science, University of Ljubljana
    Tržaška 25, 1000 Ljubljana, Slovenia
    {petar.vracar,igor.kononenko,marko.robnik}@fri.uni-lj.si

Abstract

We describe a method for learning and recognizing windows as basic structural elements of façades and organizing them into interpretable models of building façades. The method segments an input image into a hierarchical structure of window candidates. The candidates are used to create a likelihood map of window locations that is explained by a structural façade model based on a formal grammar. We use a look-ahead greedy search method in the grammar derivation space to select the (sub)optimal façade model. Empirical evaluation results reveal that, on average, the generated façade model covers 45% of the actual windows present in the input image. On the other hand, 56% of the modeled windows actually cover façade windows present in the input image. façade segmentation, window detection, formal grammar, urban environment, image segmentation.

Key words

facade segmentation, window detection, formal grammar, urban environment, image segmentation

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS150222062V

Publication information

Volume 13, Issue 1 (January 2016)
Year of Publication: 2016
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Vračar, P., Kononenko, I., Robnik-Šikonja, M.: Obtaining Structural Descriptions of Building Façades. Computer Science and Information Systems, Vol. 13, No. 1, 23–43. (2016), https://doi.org/10.2298/CSIS150222062V