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Automatic segmentation of urban point clouds based on the gaussian map / Yinghui Wang in Photogrammetric record, vol 28 n° 144 (December 2013 - February 2014)  

Public [article]  inPhotogrammetric record > vol 28 n° 144 (December 2013 - February 2014) . - pp 342 - 361 Titre : Automatic segmentation of urban point clouds based on the gaussian map Type de document : Article/Communication Auteurs : Yinghui Wang, Auteur ; Wen Hao, Auteur ; Xiaojuan Ning, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 342 - 361 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] courbe de Gauss [Termes IGN] milieu urbain [Termes IGN] regroupement de points [Termes IGN] segmentation [Termes IGN] semis de points Résumé : (Auteur) A comprehensive method to segment urban point clouds based on the Gaussian map is presented. The normals of point clouds are firstly mapped to the Gaussian sphere and then partitioned into groups using a mean shift clustering algorithm. Next, a distance-based clustering method is presented to tackle overlapping surfaces which avoids under-segmentation. Based on the properties of the Gaussian map and the geometric information of the points, primitive shapes such as planes, cylinders, cones and spheres are recognised. Trees, cars, street lights and other objects are then segmented by using the distance-based clustering method after removing the planes, cylinders, cones and spheres from the large urban scenes. Finally, a refinement process based on primitive shapes is implemented to improve the segmentation results which effectively avoids over-segmentation. Experimental results demonstrate that the proposed method can be used as a robust way to segment urban point clouds based on the Gaussian map. Numéro de notice : A2013-627 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12041 Date de publication en ligne : 09/12/2013 En ligne : https://doi.org/10.1111/phor.12041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32763 [article]

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