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

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

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/