a.Scatch: Semantic Structure for Architectural Floor Plan Retrieval

Markus Weber, Christoph Langenhan, Thomas Roth-Berghofer, Marcus Liwicki, Andreas Dengel, Frank Petzold

In: Isabelle Bichindaritz , Stefania Montani (Hrsg.). Case-Based Reasoning Research and Development: 18th International Conference on Case-Based Reasoning. International Conference on Case-Based Reasoning (ICCBR-2010) 18th July 19-22 Alessandria Italy Seiten 510-524 Lecture Notes in Artificial Intelligence (LNAI) 6176 ISBN 978-3-642-14273-4 Springer Verlag Heidelberg 7/2010.


An architect's daily routine involves working with drawings. They use either a pen or a computer to sketch out their ideas or to do a drawing to scale. We therefore propose the use of a sketch-based approach when using the floor plan repository for queries. This enables the user of the system to sketch a schematic abstraction of a floor plan and search for floor plans that are structurally similar. We also pro- pose the use of a visual query language, and a semantic structure as put forward by Langenhan. An algorithm extracts the semantic structure sketched by the architect on DFKI's Touch& Write table and compares the structure of the sketch with that of those from the floor plan repository. The a.SCatch system enables the user to access knowledge from past projects easily. Based on CBR strategies and shape detection technologies, a sketch-based retrieval gives access to a semantic floor plan repository. Furthermore, details of a prototypical application which allows semantic structure to be extracted from image data and put into the repository semi-automatically are provided.


ICCBR-ascatch-camera-ready.pdf (pdf, 851 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence