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GPU-based volumetric reconstruction and rendering of trees from multiple images / D. Vock in Photogrammetric record, vol 27 n° 138 (June - August 2012)  

Public [article]  inPhotogrammetric record > vol 27 n° 138 (June - August 2012) . - pp 175 - 194 Titre : GPU-based volumetric reconstruction and rendering of trees from multiple images Type de document : Article/Communication Auteurs : D. Vock, Auteur ; S. Gumhold, Auteur ; M. Spehr, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 175 - 194 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] arbre (flore) [Termes IGN] élément d'orientation externe [Termes IGN] élément d'orientation interne [Termes IGN] modélisation 3D [Termes IGN] reconstruction d'objet [Termes IGN] station graphique [Termes IGN] tomographie Résumé : (Auteur) This paper presents a new hardware-accelerated approach to the volumetric reconstruction of trees from photographs, based on the methods introduced by Reche-Martinez et al. The system applies an adapted computed tomography (CT) procedure that uses a set of oriented photographs with known interior and exterior camera parameters for creating a 3D model of a tree, while requiring considerably fewer images than standard CT. As tomographic reconstructions are complex tasks that result in time-consuming processes for high-resolution volumes, the hitherto existing methods are improved and modified to allow an ideal parallelisation of the computations on graphics hardware. The paper delivers a detailed insight into the complete process of the reconstruction, from the acquisition and preparation of the input data to the implementation of the final system on graphics processing hardware. Numéro de notice : A2012-305 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00683.x Date de publication en ligne : 20/06/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2012.00683.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31751 [article]

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