Improved Automatic Analysis of Architectural Floor Plans

Sheraz Ahmed, Marcus Liwicki, Markus Weber, Andreas Dengel

In: International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-2011) September 18-21 Beijing China Seiten 864-869 IEEE Computer Society Conference Publications Operations Committee 9/2011.


This paper proposes a novel complete system for automated floor plan analysis. Besides applying and improving state-of-the-art processing methods, we introduce novel preprocessing methods, e.g., the differentiation between thick, medium, and thin lines and the removal of components outside the convex hull of the outer walls. Especially the latter method increases the performance of the final system. In our experiments on a reference data set we compare our approach to other approaches available in the literature. We show that our system outperforms previous systems. The final room recognition accuracy is 79% that is 10% higher than the 69% achieved by a state-of-the-art approach from the literature.


4520a864.pdf (pdf, 5 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence