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Building large urban environments from unstructured point data / Florent Lafarge (2011)  

Public Titre : Building large urban environments from unstructured point data Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Clément Mallet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2011 Conférence : ICCV 2011, IEEE International Conference on Computer Vision 06/11/2011 13/11/2011 Barcelone Espagne Proceedings IEEE Importance : pp 1068 - 1075 Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) We present a robust method for modeling cities from unstructured point data. Our algorithm provides a more complete description than existing approaches by reconstructing simultaneously buildings, trees and topologically complex grounds. Buildings are modeled by an original approach which guarantees a high generalization level while having semantized and compact representations. Geometric 3D-primitives such as planes, cylinders, spheres or cones describe regular roof sections, and are combined with mesh-patches that represent irregular roof components. The various urban components interact through a non-convex energy minimization problem in which they are propagated under arrangement constraints over a planimetric map. We experimentally validate the approach on complex urban structures and large urban scenes of millions of points. Numéro de notice : C2011-065 Affiliation des auteurs : MATIS+Ext (1993-2011) Autre URL associée : vers HAL Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICCV.2011.6126353 Date de publication en ligne : 12/01/2012 En ligne : https://doi.org/10.1109/ICCV.2011.6126353 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101222