The lack of fa\c {c} ade structures in photogrammetric mesh models renders them
inadequate for meeting the demands of intricate applications. Moreover, these mesh models …

Commercial buildings as well as residential houses represent core structures of any modern
day urban or semiurban areas. Consequently, 3-D models of urban buildings are of …

Compact building models are demanded by global smart city applications, while high-
definition urban 3D data is increasingly accessible by dint of the advanced reality capture …

We present PolyGNN, a polyhedron-based graph neural network for 3D building
reconstruction from point clouds. PolyGNN learns to assemble primitives obtained by …

Automatic methods for reconstructing buildings from airborne Lidar point clouds focus on
producing accurate 3D models in a fast and scalable manner but they overlook the problem …

3D modeling of the indoor environment is essential for urban applications such as indoor
navigation, emergency simulations, floor planning, and building construction. With the …

Digital Twin (DT) technology is the tool for monitoring, management and intervening in a
timely manner to prevent disasters in urban areas, transforming them into smart cities. By …

Abstract Although three-dimensional (3D) modeling of buildings is gaining increasing
significance across various real-world applications, the concise representation of buildings …

The goal of this document is to survey existing methods for recovering or extracting CSG
(Constructive Solid Geometry) representations from unstructured data such as 3D point …

The benefits of having digital twins of urban buildings are numerous. However, a major
difficulty encountered in their creation from airborne LiDAR point clouds is the effective …