Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming

Mateusz Koziński 1, 2 Guillaume Obozinski 1, 2 Renaud Marlet 1, 2
1 IMAGINE [Marne-la-Vallée]
LIGM - Laboratoire d'Informatique Gaspard-Monge, CSTB - Centre Scientifique et Technique du Bâtiment, ENPC - École des Ponts ParisTech
Abstract : We propose a novel formulation for parsing facade images with user-defined shape prior. Contrary to other state-of-the-art methods, we do not explore the procedural space of shapes derived from a grammar. Instead we formulate parsing as a linear binary program which we solve using dual decomposition. The algorithm produces plausible approximations of globally optimal segmentations without grammar sampling. It yields state-of-the-art performance on standard datasets.
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Mateusz Koziński, Guillaume Obozinski, Renaud Marlet. Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. 2014 Asian Conference on Computer Vision (ACCV), Nov 2014, Singapore, Singapore. pp.79-94, ⟨10.1007/978-3-319-16817-3_6⟩. ⟨hal-01095342⟩

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