Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation

Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation

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 of this study mainly thanks to the development of photogrammetry and laser scanning techniques. Classification algorithms b...

Full description

Bibliographic Details
Main Authors: Francesca Matrone, Eleonora Grilli, Massimo Martini, Marina Paolanti, Roberto Pierdicca, Fabio Remondino
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
classification
semantic segmentation
digital cultural heritage
point clouds
machine learning
deep learning
Online Access:https://www.mdpi.com/2220-9964/9/9/535

Internet

https://www.mdpi.com/2220-9964/9/9/535

Similar Items