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A featureless approach to 3D polyhedral building modeling from aerial images / Karim Hammoudi in Sensors, vol 11 n° 1 (January 2011)  

Public [article]  inSensors > vol 11 n° 1 (January 2011) . - pp 228 - 259 Titre : A featureless approach to 3D polyhedral building modeling from aerial images Type de document : Article/Communication Auteurs : Karim Hammoudi , Auteur ; Fadi Dornaika , Auteur Année de publication : 2011 Article en page(s) : pp 228 - 259 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] image aérienne [Termes IGN] luminance lumineuse [Termes IGN] mesure de similitude [Termes IGN] méthode robuste [Termes IGN] orthoimage [Termes IGN] reconstruction 3D du bâti Résumé : (auteur) This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective projection of planar structures. Data are provided by calibrated aerial images. The novelty of the approach lies in its featurelessness and in its use of direct optimization based on image rawbrightness. The proposed framework avoids feature extraction and matching. The 3D polyhedral model is directly estimated by optimizing an objective function that combines an image-based dissimilarity measure and a gradient score over several aerial images. The optimization process is carried out by the Differential Evolution algorithm. The proposed approach is intended to provide more accurate 3D reconstruction than feature-based approaches. Fast 3D model rectification and updating can take advantage of the proposed method. Several results and evaluations of performance from real and synthetic images show the feasibility and robustness of the proposed approach. Numéro de notice : A2011-611 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s110100228 Date de publication en ligne : 28/12/2010 En ligne : https://doi.org/10.3390/s110100228 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91711 [article]