Reconstruction of 3D virtual buildings from 2D architectural floor plans
VRST '98 Proceedings of the ACM symposium on Virtual reality software and technology
Architectural symbol recognition using a network of constraints
Pattern Recognition Letters
Variations on the Analysis of Architectural Drawing
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Automatic analysis and integration of architectural drawings
International Journal on Document Analysis and Recognition
A new recognition model for electronic architectural drawings
Computer-Aided Design
Automatic learning of symbol descriptions avoiding topological ambiguities
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
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This paper presents an efficient method for reconstructing 3D building models from Electronic Architectural Drawings (EADs). EADs are matched via recognising axes and elevation. After recognising Candidate Contours (CCs) of Architectural Components (ACs) in one floor plan, the method incorporates the results into recognising the neighbour floors, which is achieved by a mapping algorithm. CC classification is proposed to reduce the interaction for 3D reconstruction. A parameterised 3D model database is used to improve details of reconstructed results. Our method requires some interaction as guidance. The experimental results show that ordinary users could create a 3D building model that consists of over 100 components in several minutes.