Automatic Reconstruction of Semantic 3D Models from 2D Floor Plans
Aleixo Cambeiro Barreiro Mariusz Trzeciakiewicz Anna Hilsmann Peter Eisert
Digitalization of existing buildings and the creation of 3D BIM models for
them has become crucial for many tasks. Of particular importance are floor
plans, which contain information about building layouts and are vital for
processes such as construction, maintenance or refurbishing. However, this data
is not always available in digital form, especially for older buildings
constructed before CAD tools were widely available, or lacks semantic
information. The digitalization of such information usually requires manual
work of an expert that must reconstruct the layouts by hand, which is a
cumbersome and error-prone process. In this paper, we present a pipeline for
reconstruction of vectorized 3D models from scanned 2D plans, aiming at
increasing the efficiency of this process. The method presented achieves
state-of-the-art results in the public dataset CubiCasa5k, and shows good
generalization to different types of plans. Our vectorization approach is
particularly effective, outperforming previous methods.