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...

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Bibliographic Details
Published in:	ISPRS international journal of geo-information Vol. 9; no. 9; p. 535
Main Authors:	Matrone, Francesca, Grilli, Eleonora, Martini, Massimo, Paolanti, Marina, Pierdicca, Roberto, Remondino, Fabio
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2020
Subjects:	Algorithms Annotations Architectural elements Architecture Artificial intelligence Case studies Classification computer vision Cultural heritage Cultural resources data collection Datasets Deep learning digital cultural heritage digital images Historic sites image analysis Image segmentation Lasers Learning algorithms lidar Machine learning Masonry Methods Photogrammetry point clouds Semantic segmentation Semantics Three dimensional models Italy
ISSN:	2220-9964, 2220-9964
Online Access:	Get full text
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