In the cultural heritage field, point clouds, as important raw data of geomatics, are not only
three-dimensional (3D) spatial presentations of 3D objects but they also have the potential …

In recent years semantic segmentation of 3D point clouds has been an argument that
involves different fields of application. Cultural heritage scenarios have become the subject …

Reality capture allows for the reconstruction, with a high accuracy, of the physical reality of
cultural heritage sites. Obtained 3D models are often used for various applications such as …

In recent years, the use of 3D models in cultural and archaeological heritage for
documentation and dissemination purposes is increasing. The association of …

Unprecedented growth in 3D reality-based capturing devices-such as Terrestrial Laser
Scanners (TLS) or Unnamed Aerial Vehicles (UAVs) equipped with high-resolution …

3D models derived from point clouds are useful in various shapes to optimize the trade-off
between precision and geometric complexity. They are defined at different granularity levels …

In the last years, the application of artificial intelligence (Machine Learning and Deep
Learning methods) for the classification of 3D point clouds has become an important task in …

In this paper, an exhaustive review and comprehensive analysis of recent and former deep
learning methods in 3D semantic segmentation (3DSS) is presented. In the related literature …

The use of heritage point cloud for documentation and dissemination purposes is nowadays
increasing. The association of semantic information to 3D data by means of automated …

Digital investigations of the real world through point clouds and derivatives are changing
how curators, cultural heritage researchers and archaeologists work and collaborate. To …