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A hybrid multiview stereo algorithm for modeling urban scenes / Florent Lafarge in IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol 35 n° 1 (January 2013)
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Titre : A hybrid multiview stereo algorithm for modeling urban scenes Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Renaud Keriven, Auteur ; Mathieu Brédif , Auteur ; Hoang-Hiep Vu, Auteur Année de publication : 2013 Article en page(s) : pp 5 - 17 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] champ aléatoire de Markov
[Termes IGN] maillage
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle de Markov
[Termes IGN] primitive géométrique
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] scène urbaineMots-clés libres : hybrid representation Résumé : (auteur) We present an original multiview stereo reconstruction algorithm which allows the 3D-modeling of urban scenes as a combination of meshes and geometric primitives. The method provides a compact model while preserving details: Irregular elements such as statues and ornaments are described by meshes, whereas regular structures such as columns and walls are described by primitives (planes, spheres, cylinders, cones, and tori). We adopt a two-step strategy consisting first in segmenting the initial mesh-based surface using a multilabel Markov Random Field-based model and second in sampling primitive and mesh components simultaneously on the obtained partition by a Jump-Diffusion process. The quality of a reconstruction is measured by a multi-object energy model which takes into account both photo-consistency and semantic considerations (i.e., geometry and shape layout). The segmentation and sampling steps are embedded into an iterative refinement procedure which provides an increasingly accurate hybrid representation. Experimental results on complex urban structures and large scenes are presented and compared to state-of-the-art multiview stereo meshing algorithms. Numéro de notice : A2013-816 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TPAMI.2012.84 Date de publication en ligne : 10/04/2012 En ligne : https://doi.org/10.1109/TPAMI.2012.84 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80877
in IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI > vol 35 n° 1 (January 2013) . - pp 5 - 17[article]Documents numériques
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