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Irregular Lattices for Complex Shape Grammar Facade Parsing

Riemenschneider, Hayko and Krispel, Ulrich and Thaller, Wolfgang and Donoser, Michael and Havemann, Sven and Fellner, Dieter W. and Bischof, Horst (2012):
Irregular Lattices for Complex Shape Grammar Facade Parsing.
pp. 1640-1647, IEEE, New York, IEEE Conference on Computer Vision and Pattern Recognition, DOI: 10.1109/CVPR.2012.6247857,
[Conference or Workshop Item]

Abstract

High-quality urban reconstruction requires more than multi-view reconstruction and local optimization. The structure of facades depends on the general layout, which has to be optimized globally. Shape grammars are an established method to express hierarchical spatial relationships, and are therefore suited as representing constraints for semantic facade interpretation. Usually inference uses numerical approximations, or hard-coded grammar schemes. Existing methods inspired by classical grammar parsing are not applicable on real-world images due to their prohibitively high complexity. This work provides feasible generic facade reconstruction by combining low-level classifiers with mid-level object detectors to infer an irregular lattice. The irregular lattice preserves the logical structure of the facade while reducing the search space to a manageable size. We introduce a novel method for handling symmetry and repetition within the generic grammar. We show competitive results on two datasets, namely the Paris2010 and the Graz50. The former includes only Hausmannian, while the latter includes Classicism, Biedermeier, Historicism, Art Nouveau and post-modern architectural styles.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Riemenschneider, Hayko and Krispel, Ulrich and Thaller, Wolfgang and Donoser, Michael and Havemann, Sven and Fellner, Dieter W. and Bischof, Horst
Title: Irregular Lattices for Complex Shape Grammar Facade Parsing
Language: English
Abstract:

High-quality urban reconstruction requires more than multi-view reconstruction and local optimization. The structure of facades depends on the general layout, which has to be optimized globally. Shape grammars are an established method to express hierarchical spatial relationships, and are therefore suited as representing constraints for semantic facade interpretation. Usually inference uses numerical approximations, or hard-coded grammar schemes. Existing methods inspired by classical grammar parsing are not applicable on real-world images due to their prohibitively high complexity. This work provides feasible generic facade reconstruction by combining low-level classifiers with mid-level object detectors to infer an irregular lattice. The irregular lattice preserves the logical structure of the facade while reducing the search space to a manageable size. We introduce a novel method for handling symmetry and repetition within the generic grammar. We show competitive results on two datasets, namely the Paris2010 and the Graz50. The former includes only Hausmannian, while the latter includes Classicism, Biedermeier, Historicism, Art Nouveau and post-modern architectural styles.

Publisher: IEEE, New York
Uncontrolled Keywords: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Shape reconstruction, Search space reduction
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: IEEE Conference on Computer Vision and Pattern Recognition
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1109/CVPR.2012.6247857
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