Title: A Three-Layered Approach to Facade Parsing
Authors: Martinovic, Andelo
Mathias, Markus
Weissenberg, Julien
Van Gool, Luc
Issue Date: Oct-2012
Publisher: Springer
Host Document: Lecture Notes in Computer Science vol:7578 pages:416-429
Series Title: Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII
Conference: European Conference on Computer Vision - ECCV 2012 edition:12 location:Firenze, Italy date:7-13 October 2012
Article number: 959
Abstract: We propose a novel three-layered approach for semantic segmentation of building facades. In the first layer, starting from an oversegmentation of a facade, we employ the recently introduced machine learning technique Recursive Neural Networks (RNN) to obtain a probabilistic interpretation of each segment. In the middle layer, initial labeling is augmented with the information coming from specialized facade component detectors. The information is merged using a Markov Random Field defined over the image. In the highest layer, we introduce weak architectural knowledge, which enforces the final reconstruction to be architecturally plausible and consistent. Rigorous tests performed on two existing
datasets of building facades demonstrate that we significantly outperform the current-state of the art, even when using outputs from lower layers of the pipeline. In the end, we show how the output of the highest layer can be used to create a procedural reconstruction.
Description: Martinovic A., Mathias M., Weissenberg J., Van Gool L., ''A three-layered approach to facade parsing'', Lecture notes in computer science, vol. 7578, pp. 416-429, 2012 (12th European conference on computer vision - ECCV 2012, October 7-13, 2012, Firenze, Italy).
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - PSI, Processing Speech and Images

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