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International Journal on Document Analysis and Recognition (IJDAR)
Published in: International Journal on Document Analysis and Recognition (IJDAR) 1/2015

01-03-2015 | Original Paper

CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool

Authors: Lluís-Pere de las Heras, Oriol Ramos Terrades, Sergi Robles, Gemma Sánchez

Published in: International Journal on Document Analysis and Recognition (IJDAR) | Issue 1/2015

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Abstract

Recent results on structured learning methods have shown the impact of structural information in a wide range of pattern recognition tasks. In the field of document image analysis, there is a long experience on structural methods for the analysis and information extraction of multiple types of documents. Yet, the lack of conveniently annotated and free access databases has not benefited the progress in some areas such as technical drawing understanding. In this paper, we present a floor plan database, named CVC-FP, that is annotated for the architectural objects and their structural relations. To construct this database, we have implemented a groundtruthing tool, the SGT tool, that allows to make specific this sort of information in a natural manner. This tool has been made for general purpose groundtruthing: It allows to define own object classes and properties, multiple labeling options are possible, grants the cooperative work, and provides user and version control. We finally have collected some of the recent work on floor plan interpretation and present a quantitative benchmark for this database. Both CVC-FP database and the SGT tool are freely released to the research community to ease comparisons between methods and boost reproducible research.
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Metadata
Title
CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool
Authors
Lluís-Pere de las Heras
Oriol Ramos Terrades
Sergi Robles
Gemma Sánchez
Publication date
01-03-2015
Publisher
Springer Berlin Heidelberg
Published in
International Journal on Document Analysis and Recognition (IJDAR) / Issue 1/2015
Print ISSN: 1433-2833
Electronic ISSN: 1433-2825
DOI
https://doi.org/10.1007/s10032-014-0236-5

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