Artificial neural networks exploiting point cloud data for fragmented solid objects classification

This paper presents a novel approach for fragmented solid object classification exploiting neural networks based on point clouds. This work is the initial step of a project in collaboration with the Institution of ‘Ente Parco Archeologico del Colosseo’ in Rome, which aims to reconstruct ancient arti...

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Bibliografische Detailangaben

Hauptverfasser:	A Baiocchi, S Giagu, C Napoli, M Serra, P Nardelli, M Valleriani
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IOP Publishing 2023-01-01
Schriftenreihe:	Machine Learning: Science and Technology
Schlagworte:	classification fragments of artifacts PointNet DGCNN graph neural network solid objects dataset
Online-Zugang:	https://doi.org/10.1088/2632-2153/ad035e
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