Obtaining structural descriptions of building façades | Zendy

Petar Vračar | Zendy; Igor Konko | Zendy; Marko Robnik–Šikonja | Zendy

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Obtaining structural descriptions of building façades

Author(s) -

Petar Vračar,

Igor Konko,

Marko Robnik–Šikonja

Publication year - 2015

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis150222062v

Subject(s) - computer science , window (computing) , cover (algebra) , grammar , image (mathematics) , space (punctuation) , artificial intelligence , pattern recognition (psychology) , algorithm , operating system , mechanical engineering , linguistics , philosophy , engineering

We describe a method for learning and recognizing windows as basic structural elements of facades and organizing them into interpretable models of building facades. 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 facade model based on a formal grammar. We use a look-ahead greedy search method in the grammar derivation space to select the (sub)optimal facade model. Empirical evaluation results reveal that, on average, the generated facade model covers 45% of the actual windows present in the input image. On the other hand, 56% of the modeled windows actually cover facade windows present in the input image.

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