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Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds / Xiang Gao in ISPRS Journal of photogrammetry and remote sensing, vol 143 (September 2018)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 143 (September 2018) . - pp 72 - 84 Titre : Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds Type de document : Article/Communication Auteurs : Xiang Gao, Auteur ; Shuhan Shen, Auteur ; Yang Zhou, Auteur ; Hainan Cui, Auteur ; Lingjie Zhu, Auteur ; Zhanyi Hu, Auteur Année de publication : 2018 Article en page(s) : pp 72 - 84 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] appariement d'images [Termes IGN] architecture [Termes IGN] données localisées 3D [Termes IGN] fusion de données [Termes IGN] image aérienne [Termes IGN] image terrestre [Termes IGN] modèle 3D du site [Termes IGN] patrimoine immobilier [Termes IGN] reconstruction 3D du bâti [Termes IGN] semis de points [Termes IGN] temple Résumé : (Auteur) Ancient Chinese architecture 3D digitalization and documentation is a challenging task for the image based modeling community due to its architectural complexity and structural delicacy. Currently, an effective approach to ancient Chinese architecture 3D reconstruction is to merge the two point clouds, separately obtained from ground and aerial images by the SfM technique. There are two understanding issues should be specially addressed: (1) it is difficult to find the point matches between the images from different sources due to their remarkable variations in viewpoint and scale; (2) due to the inevitable drift phenomenon in any SfM reconstruction process, the resulting two point clouds are no longer strictly related by a single similarity transformation as it should be theoretically. To address these two issues, a new point cloud merging method is proposed in this work. Our method has the following characteristics: (1) the images are matched by leveraging sparse mesh based image synthesis; (2) the putative point matches are filtered by geometrical consistency check and geometrical model verification; and (3) the two point clouds are merged via bundle adjustment by linking the ground-to-aerial tracks. Extensive experiments show that our method outperforms many of the state-of-the-art approaches in terms of ground-to-aerial image matching and point cloud merging. Numéro de notice : A2018-355 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.04.023 Date de publication en ligne : 08/05/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.04.023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90589 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2018091	RAB	Livre	Centre de documentation	En réserve L003	Disponible
081-2018093	DEP-EXM	Livre	LASTIG	Dépôt en unité	Exclu du prêt
081-2018092	DEP-EAF	Livre	Nancy	Dépôt en unité	Exclu du prêt

Registration of optical images with lidar data and its accuracy assessment / Shunyl Zheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 8 (August 2013) . - pp 731 - 741 Titre : Registration of optical images with lidar data and its accuracy assessment Type de document : Article/Communication Auteurs : Shunyl Zheng, Auteur ; Rongyong Huang, Auteur ; Yang Zhou, Auteur Année de publication : 2013 Article en page(s) : pp 731 - 741 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] appariement de données localisées [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image optique [Termes IGN] photogrammétrie terrestre [Termes IGN] point de repère [Termes IGN] précision géométrique (imagerie) [Termes IGN] superposition d'images Résumé : (Auteur) Photogrammetry and lidar are two technologies complementary/or 3D reconstruction. However, the problem is that the current registration methods of optical images with lidar data cannot satisfy all the requirements for the fusion of the above two technologies, especially for close-range photogrammetry and terrestrial lidar. In this paper, we propose a novel method for registration of optical images with terrestrial lidar data, which is implemented by minimizing the distances from the photogrammetric matching points to terrestrial lidar data surface, with the collinearity equation as the basic mathematical model. One advantage of this method is that it requires no feature extraction and segmentation from the lidar data. Another advantage is that non-rigid deformation caused by lens distortion can be eliminated through the use of bundle adjustment similar to self-calibration. In addition, experiments with two different data sets show that this method cannot only eliminate the influence of certain gross errors, but also offer a high accuracy of 3 mm to 5 mm. Therefore, the proposed registration method is proved to be more effective, accurate, and reliable. Numéro de notice : A2013-426 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.8.731 En ligne : https://doi.org/10.14358/PERS.79.8.731 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32564 [article]