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Orientation of archive images on 3D digital models of painted vaults : an interesting tool for restorers / Marco Bevilacqua in Applied geomatics, vol 10 n° 4 (December 2018)  

Public [article]  inApplied geomatics > vol 10 n° 4 (December 2018) . - pp 385 - 398 Titre : Orientation of archive images on 3D digital models of painted vaults : an interesting tool for restorers Type de document : Article/Communication Auteurs : Marco Bevilacqua, Auteur ; Gabriella Caroti, Auteur ; I. Martínez-Espejo Zaragoza, Auteur ; A. Piemonte, Auteur Année de publication : 2018 Article en page(s) : pp 385 - 398 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] patrimoine culturel [Termes IGN] patrimoine immobilier [Termes IGN] peinture [Termes IGN] restauration de bâtiment [Termes IGN] structure-from-motion Résumé : (Auteur) Over the last years, the area of conservation and enhancement of cultural heritage has benefited from new surveying methodologies. In particular, laser scanners and the latest evolutions in digital photogrammetry and processing software based on structure from motion and multi-view stereo algorithms allowed to achieve 3D models of the status quo whose features include precision suitable for restoration scales and high-quality textures. Besides methodological and technical issues, another key requirement for any intervention on this kind of buildings is their full, in-depth knowledge, which includes building design, modifications’ timeline, current conditions, present-day and historical causes of degradation etc. In this view, surveys are a valuable asset for the investigation of historical sources. The present work investigates historical photographic sources, focusing on the possibility of orientation by means of photogrammetry techniques, which provides an additional texture layer as a support tool for historical analysis. The paper displays a case study featuring the availability of a reference survey, which allows validation of the results, and two other cases highlighting the importance of this kind of documents to restoring teams. Numéro de notice : A2018-593 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-018-0212-8 Date de publication en ligne : 05/04/2018 En ligne : https://doi.org/10.1007/s12518-018-0212-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92517 [article]

Joint inpainting of depth and reflectance with visibility estimation / Marco Bevilacqua in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 125 (March 2017) . - pp 16 - 32 Titre : Joint inpainting of depth and reflectance with visibility estimation Type de document : Article/Communication Auteurs : Marco Bevilacqua, Auteur ; Jean-François Aujol, Auteur ; Pierre Biasutti , Auteur ; Mathieu Brédif , Auteur ; Aurélie Bugeau, Auteur Année de publication : 2017 Projets : 1-Pas de projet / Article en page(s) : pp 16 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] carte de profondeur [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image en couleur [Termes IGN] inpainting [Termes IGN] point caché [Termes IGN] réflectance [Termes IGN] semis de points [Termes IGN] visibilité Résumé : (Auteur) This paper presents a novel strategy to generate, from 3-D lidar measures, dense depth and reflectance images coherent with given color images. It also estimates for each pixel of the input images a visibility attribute. 3-D lidar measures carry multiple information, e.g. relative distances to the sensor (from which we can compute depths) and reflectances. When projecting a lidar point cloud onto a reference image plane, we generally obtain sparse images, due to undersampling. Moreover, lidar and image sensor positions typically differ during acquisition; therefore points belonging to objects that are hidden from the image view point might appear in the lidar images. The proposed algorithm estimates the complete depth and reflectance images, while concurrently excluding those hidden points. It consists in solving a joint (depth and reflectance) variational image inpainting problem, with an extra variable to concurrently estimate handling the selection of visible points. As regularizers, two coupled total variation terms are included to match, two by two, the depth, reflectance, and color image gradients. We compare our algorithm with other image-guided depth upsampling methods, and show that, when dealing with real data, it produces better inpainted images, by solving the visibility issue. Numéro de notice : A2017-073 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.01.005 Date de publication en ligne : 17/01/2017 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.01.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84310 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017033	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017032	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Visibility estimation and joint inpainting of lidar depth maps / Marco Bevilacqua (2016)  

Public Titre : Visibility estimation and joint inpainting of lidar depth maps Type de document : Article/Communication Auteurs : Marco Bevilacqua, Auteur ; Jean-François Aujol, Auteur ; Mathieu Brédif , Auteur ; Aurélie Bugeau, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2016 Projets : 1-Pas de projet / Conférence : ICIP 2016, 23rd IEEE International Conference on Image Processing 25/09/2016 28/09/2016 Phoenix Arizona - Etats-Unis Proceedings IEEE Importance : pp 3503 - 3507 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] carte de profondeur [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] retouche [Termes IGN] semis de points [Termes IGN] visibilité Résumé : (auteur) This paper presents a novel variational image inpainting method to solve the problem of generating, from 3-D lidar measures, a dense depth map coherent with a given color image, tackling visibility issues. When projecting the lidar point cloud onto the image plane, we generally obtain a sparse depth map, due to undersampling. Moreover, lidar and image sensor positions generally differ during acquisition, such that depth values referring to objects that are hidden from the image view point might appear with a naive projection. The proposed algorithm estimates the complete depth map, while simultaneously detecting and excluding those hidden points. It consists in a primal-dual optimization method, where a coupled total variation regularization term is included to match the depth and image gradients and a visibility indicator handles the selection of visible points. Tests with real data prove the effectiveness of the proposed strategy. Numéro de notice : C2016-035 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2016.7533011 Date de publication en ligne : 19/08/2016 En ligne : https://doi.org/10.1109/ICIP.2016.7533011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91794