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SEMANTIC SEGMENTATION OF INDOOR POINT CLOUDS USING CONVOLUTIONAL NEURAL NETWORK

As Building Information Modelling (BIM) thrives, geometry becomes no longer sufficient; an ever increasing variety of semantic information is needed to express an indoor model adequately. On the other hand, for the existing buildings, automatically generating semantically enriched BIM from point clo...

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Autori principali: K. Babacan, L. Chen, G. Sohn
Natura: Artigo
Lingua:Inglês
Pubblicazione: Copernicus Publications 2017-11-01
Serie:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Accesso online:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/101/2017/isprs-annals-IV-4-W4-101-2017.pdf
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