3-Phase Recognition Approach to Pseudo 3D Building Generation from 2D Floor Plan

Driving altitude generation method with pseudo‐3D building model for unmanned aerial vehicles

“…The pseudo-3D building model is a model that reconstructs a two-dimensional (2D) building plane into a 3D mesh as much as the height of the building [17]. The proposed method creates visualization models from the pseudo-3D building model by applying the building 2D polygon and height information of the building.…”

Automatic Reconstruction of 3D Models from 2D Drawings: A State-of-the-Art Review

“…Rule-based approaches: Rule-based approaches, or template-matching approaches, seek to recognise geometric entities or symbols by describing them through the geometric and topological rules that define them and comparing them to predefined rules or templates. These methods are predominantly used in symbol recognition, where drawing symbols, such as doors and windows [16,24,52], dimensions [53] or other mechanical, electrical and plumbing (MEP) symbols [47], are compared to databases of symbol templates to find a match based on similarity. These databases can be dynamically adapted as new symbols are discovered [19].…”

“…Floorplan datasets include the Rent3D dataset [66], a database of floor plans and photos collected from a rental website; the CubiCasa5K dataset [67], a vectorisation database containing geometrically and semantically annotated floor plans in SVG vector graphics format; the CVC-FP dataset [68], a floor plan database annotated with architectural objects' labels and their structural relation; and the SESYD dataset [69], a synthetic database for the performance evaluation of symbol recognition and spotting systems, among others. Other learning-based approaches include the use of clustering techniques to group geometric primitives representing building components of the same type [52].…”