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Strategy for extraction of 3D architectural objects from laser and image data acquired from the same viewpoint / Matthieu Deveau (2005)    

Public Titre : Strategy for extraction of 3D architectural objects from laser and image data acquired from the same viewpoint Type de document : Article/Communication Auteurs : Matthieu Deveau , Auteur ; X. Chen, Auteur ; G. Thibault, Auteur ; Nicolas Paparoditis , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2005 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-5/W17 Conférence : 3D-ARCH 2005, ISPRS WG V-4 Workshop, Virtual reconstruction and visualisation of complex architecture 22/08/2005 24/08/2005 Venise Italie OA Proceedings Importance : 5 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] bâtiment [Termes IGN] données laser [Termes IGN] extraction automatique [Termes IGN] extraction semi-automatique [Termes IGN] objet géographique complexe [Termes IGN] objet géographique urbain [Termes IGN] polyligne [Termes IGN] primitive géométrique [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation d'image [Termes IGN] triangulation (topologie) Résumé : (Auteur) This paper presents a general strategy for 3D reconstruction of complex architectural scenes. This approach makes use of both laser data (range and retro-diffusion) and image data, and of their great complementarity. The proposed approach starts with pose estimation between the two data sets. This part is largely automated by means of correlation of fine feature points and linear primitives. The second part deals with segmentation of the scene. Here, each element of the scene must be detected. This can be fulfilled in two ways. The first one is semi-automatic extraction of the objects where user interaction is used to initialize the object localisation, the second one is fully automatic segmentation, driven by image and 3D data. Then, each object needs to be reconstructed. We consider a large range of objects since we can describe planar surfaces, general geometric primitives and generalised cylinders. When these models do not fit with the surface, that is to say on complex parts, triangulation is performed. This leads to two potential reconstruction tools: one similar to laser data editing software, with more efficient object selection and object boundary estimation, the other would perform automatic reconstruction, which would be followed by a verification procedure. The advantage of this approach, compared to existing techniques, is to reduce dramatically reconstruction time, without having any hard limitation on the set of shapes that can be obtained. Numéro de notice : C2005-010 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVI/5-W17/pdf/18.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64398

Documents numériques

en open access Strategy for extraction of 3D architectural objects Adobe Acrobat PDF

Grotte Cosquer : modélisation numérique tridimensionnelle / D. Peters-Desteract in XYZ, n° 67 (mars - mai 1996)

Public [article]  inXYZ > n° 67 (mars - mai 1996) . - pp 34 - 37 Titre : Grotte Cosquer : modélisation numérique tridimensionnelle Type de document : Article/Communication Auteurs : D. Peters-Desteract, Auteur ; F. Guisnel, Auteur ; G. Thibault, Auteur Année de publication : 1996 Article en page(s) : pp 34 - 37 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] grotte [Termes IGN] modèle numérique de surface [Termes IGN] modélisation 3D [Termes IGN] photogrammétrie métrologique Numéro de notice : A1996-028 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=25812 [article]

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