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1 Ergebnisse
1
Learning from Synthetic Point Cloud Data for Historical Bui..:
Morbidoni, Christian
;
Pierdicca, Roberto
;
Paolanti, Marina
..
Journal on Computing and Cultural Heritage (JOCCH). 13 (2020) 4 - p. 1-16 , 2020
Link:
https://dl.acm.org/doi/10.1145/3409262
RT Journal T1
Learning from Synthetic Point Cloud Data for Historical Buildings Semantic Segmentation
UL https://suche.suub.uni-bremen.de/peid=acm-3409262&Exemplar=1&LAN=DE A1 Morbidoni, Christian A1 Pierdicca, Roberto A1 Paolanti, Marina A1 Quattrini, Ramona A1 Mammoli, Raissa PB ACM YR 2020 SN 1556-4673 SN 1556-4711 K1 Deep learning K1 cultural heritage K1 dynamic graph convolutional neural network K1 historical building K1 point cloud semantic segmentation K1 radius distance K1 scan-to-BIM K1 synthetic point cloud K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Scene understanding K1 Applied computing K1 Arts and humanities K1 Architecture (buildings) K1 Machine learning K1 Machine learning approaches K1 Neural networks JF Journal on Computing and Cultural Heritage (JOCCH) VO 13 IS 4 SP 1 OP 16 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3409262 DO https://dl.acm.org/doi/10.1145/3409262 SF ELIB - SuUB Bremen
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