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Poux Florent

Département de géographie > Geospatial Data Science and City Infor. Modelling (GeoScITY)

See author's contact details
ORCID
0000-0001-6368-4399
IDREF
176526633
Main Referenced Co-authors
Billen, Roland  (45)
Hallot, Pierre  (21)
Neuville, Romain  (17)
Luczfalvy Jancsó, Andrea  (12)
Jonlet, Benoît  (10)
Main Referenced Keywords
point cloud (14); Classification (13); Point Cloud (13); Segmentation (11); Feature Extraction (10);
Main Referenced Unit & Research Centers
Geomatics Unit (3)
Centre National de la Recherche Scientifique (1)
Centre de recherche en données et intelligence géospatiales (1)
SPHERES - ULiège (1)
Sphères - SPHERES (1)
Main Referenced Disciplines
Earth sciences & physical geography (50)
Computer science (47)
Architecture (19)
Archaeology (13)
Engineering, computing & technology: Multidisciplinary, general & others (11)

Publications (total 69)

The most downloaded
15005 downloads
Poux, F. (2020). 5-Step Guide to generate 3D meshes from point clouds with Python. Towards Data Science. https://hdl.handle.net/2268/254933

The most cited

159 citations (Scopus®)

Poux, F., & Billen, R. (07 May 2019). Voxel-Based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods. ISPRS International Journal of Geo-Information, 8 (5), 213. doi:10.3390/IJGI8050213 https://hdl.handle.net/2268/235425

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