Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming

Mateusz Kozinski, Guillaume Obozinski, Renaud Marlet

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.