Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage

Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage

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 elements, at an adequate level of detail, and thus speed up the process of modeling of historical buildings for developing BIM...

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Bibliographic Details
Main Authors: Roberto Pierdicca, Marina Paolanti, Francesca Matrone, Massimo Martini, Christian Morbidoni, Eva Savina Malinverni, Emanuele Frontoni, Andrea Maria Lingua
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
classification
semantic segmentation
digital cultural heritage
point clouds
deep learning
Online Access:https://www.mdpi.com/2072-4292/12/6/1005

Internet

https://www.mdpi.com/2072-4292/12/6/1005

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