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1 Ergebnisse
1
PinSout : Automatic 3D Indoor Space Construction from Po..:
, In:
Proceedings of the 28th International Conference on Advances in Geographic Information Systems
,
Kim, Taehoon
;
Cho, Wijae
;
Matono, Akiyoshi
. - p. 211-214 , 2020
Link:
https://dl.acm.org/doi/10.1145/3397536.3422343
RT T1 <cTitle>Proceedings of the 28th International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>PinSout : Automatic 3D Indoor Space Construction from Point Clouds with Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3422343&Exemplar=1&LAN=DE A1 Kim, Taehoon A1 Cho, Wijae A1 Matono, Akiyoshi A1 Kim, Kyoung-Sook PB ACM YR 2020 K1 3d model K1 citygml K1 deep learning K1 open source K1 point cloud K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Geographic information systems K1 Computing methodologies K1 Modeling and simulation K1 Model development and analysis K1 Modeling methodologies SP 211 OP 214 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3397536.3422343 DO https://dl.acm.org/doi/10.1145/3397536.3422343 SF ELIB - SuUB Bremen
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