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


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.

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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Vračar, P., Kononenko, I., Robnik-Šikonja, M.: Obtaining Structural Descriptions of Building Façades. Computer Science and Information Systems, Vol. 13, No. 1. (2016)