Built heritage documentation involves the 3D modelling of the geometry (typically using 3D
computer graphics, photogrammetry and laser scanning techniques) and information …

Interest in semantic segmentation of 3D point clouds using ML and DL has grown due to
their key role in scene insight across a wide range of computer vision, robotics and remote …

In the Digital Cultural Heritage (DCH) domain, the semantic segmentation of 3D Point
Clouds with Deep Learning (DL) techniques can help to recognize historical architectural …

The automation of digital twinning for existing reinforced concrete bridges from point clouds
remains an unresolved problem. Whilst current methods can automatically detect bridge …

Working with heritage is complex and projects often include scientific, structural, and
documentary studies. Every step requires a systematic approach in which the contribution of …

Featured Application This work proposes a semi-automatic approach for the 3D
reconstruction of existing buildings from point clouds in the context of BIM. This process …

Heritage buildings usually have complex (non-parametric) geometries that turn their
digitization through conventional methods in inaccurate and time-consuming processes …

We present a novel method for reconstructing parametric, volumetric, multi-story building
models from unstructured, unfiltered indoor point clouds with oriented normals by means of …

Large volumes of 3D parametric datasets, such as building information modeling (BIM), are
the foundation for develo** and applying smart city and digital twin technologies. Those …

The demand for the models of BIM has increased due to the numerous applications in
emergency response and location-based services. Creating a semantically rich 3D interior …