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Fast robust large-scale mapping from video and internet photo collections / J. Frahm in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 6 (November - December 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 6 (November - December 2010) . - pp 538 - 549 Titre : Fast robust large-scale mapping from video and internet photo collections Type de document : Article/Communication Auteurs : J. Frahm, Auteur ; Marc Pollefeys, Auteur ; S. Lazebnik, Auteur ; D. Gallup, Auteur ; B. Clipp, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 538 - 549 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] grande échelle [Termes IGN] image vidéo [Termes IGN] modélisation 3D [Termes IGN] photographie numérique [Termes IGN] reconnaissance automatique [Termes IGN] reconstruction 3D [Termes IGN] séquence d'images Résumé : (Auteur) This paper presents a system approaching fully automatic 3D modeling of large-scale environments. Our system takes as input either a video stream or collection of photographs obtained from Internet photo sharing web-sites such as Flickr. The system achieves high computational performance through algorithmic optimizations for efficient robust estimation, the use of image-based recognition for efficient grouping of similar images, and two-stage stereo estimation for video streams that reduces the computational cost while maintaining competitive modeling results. In addition to algorithmic advances, we achieve a major improvement in computational speed through parallelization and execution on commodity graphics hardware. These improvements lead to real-time video processing and to reconstruction from tens of thousands of images within the span of a day on a single commodity computer. We demonstrate modeling results on a variety of real-world video sequences and photo collections. Numéro de notice : A2010-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.08.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.08.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30679 [article]

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