In this paper, we present an automatic system for the analysis and labeling of structural scenes, floor plan drawings in Computer-aided Design (CAD) format. The proposed system applies a fusion strategy to detect and recognize various components of CAD floor plans, such as walls, doors, windows and other ambiguous assets. Technically, a general rule-based filter parsing method is fist adopted to extract effective information from the original floor plan. Then, an image-processing based recovery method is employed to correct information extracted in the first step. Our proposed method is fully automatic and real-time. Such analysis system provides high accuracy and is also evaluated on a public website that, on average, archives more than ten thousands effective uses per day and reaches a relatively high satisfaction rate.
This process analyses an input raster floor plan image and extracts layout information, which is referred to as a parse process . Referring to Yin s survey @cite_30 , the challenges in this step are explained in Table . Graphical document analysis technology is required to analyse and parse image floor plans, which includes two main steps: (1) removing noise ,such as text and annotation; and (2) graphical symbol recognition. The cleaning step focuses on removing noise and other irrelevant information to improve image quality. In the graphical symbol recognition step, the system categorises the recognised symbols by identifying certain information, including location, orientation and scale. Compared to other graphical documents, floor plans have certain distinguishable features. For example, various line shapes (curved or straight) represent walls in floor plans. Another difference is that the architectural symbols are made up of simple geometric primitives. Typically, to handle such input, graphics recognition is integrated with vectorisation. (Table )
@cite_30
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Automatically generating 3D building models from 2D architectural drawings has many useful applications in the architecture engineering and construction community. This survey of model generation from paper and CAD-based architectural drawings covers the common pipeline and compares various algorithms for each step of the process.