Paper Info
Title
Automatic Room Detection and Room Labeling from Architectural Floor Plans
Abstract
This paper presents an automatic system for analyzing and labeling architectural floor plans. In order to detect the locations of the rooms, the proposed systems extracts both, structural and semantic information from given floor plans. Furthermore, OCR is applied on the text layer to retrieve the meaningful room labeling. Finally, a novel post-processing is proposed to split rooms into several sub-regions if several semantic rooms share the same physical room. Our fully automatic system is evaluated on a publicly available dataset of architectural floor plans. In our experiments, we could clearly outperform other state-of-the-art approaches for room detection.
Year
DOI
Venue
2012
10.1109/DAS.2012.22
Document Analysis Systems
Keywords
Field
DocType
room detection,automatic room detection,floor plan,proposed system,physical room,automatic system,architectural floor plan,semantic information,semantic room,meaningful room,architectural floor plans,available dataset,semantics,image retrieval,planning,structure analysis,accuracy,architecture,image segmentation,optical character recognition,graphics,labeling,text analysis
Structure analysis,Computer vision,Architecture,Computer science,Optical character recognition,Image retrieval,Semantic information,Artificial intelligence,Symbol spotting
Conference
Citations 
PageRank 
References 
3
0.40
0
Authors
4
Name
Order
Citations
PageRank
Sheraz Ahmed110528.32
Marcus Liwicki21292101.35
Markus Weber316620.97
Andreas Dengel41926280.42