
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
