Geodesic
Obtaining Structural Descriptions of Building Façades
Computer Science and Information Systems, Tome 13 (2016) no. 1

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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.
Keywords: facade segmentation, window detection, formal grammar, urban environment, image segmentation 
@article{CSIS_2016_13_1_a2,
     author = {Petar Vra\v{c}ar and Igor Kononenko and Marko Robnik-\v{S}ikonja},
     title = {Obtaining {Structural} {Descriptions} of {Building} {Fa\c{c}ades}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {13},
     number = {1},
     year = {2016},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2016_13_1_a2/}
}
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Petar Vračar; Igor Kononenko; Marko Robnik-Šikonja. Obtaining Structural Descriptions of Building Façades. Computer Science and Information Systems, Tome 13 (2016) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2016_13_1_a2/