Riemenschneider, Hayko ; Krispel, Ulrich ; Thaller, Wolfgang ; Donoser, Michael ; Havemann, Sven ; Fellner, Dieter W. ; Bischof, Horst (2012)
Irregular Lattices for Complex Shape Grammar Facade Parsing.
IEEE Conference on Computer Vision and Pattern Recognition.
doi: 10.1109/CVPR.2012.6247857
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Riemenschneider, Hayko ; Krispel, Ulrich ; Thaller, Wolfgang ; Donoser, Michael ; Havemann, Sven ; Fellner, Dieter W. ; Bischof, Horst |
| Art des Eintrags: | Bibliographie |
| Titel: | Irregular Lattices for Complex Shape Grammar Facade Parsing |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Verlag: | IEEE, New York |
| Veranstaltungstitel: | IEEE Conference on Computer Vision and Pattern Recognition |
| DOI: | 10.1109/CVPR.2012.6247857 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Shape reconstruction, Search space reduction |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 04 Feb 2022 12:40 |
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