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Improved wide-angle, fisheye and omnidirectional camera calibration / Steffen Urban in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 108 (October 2015) . - pp 72 – 79 Titre : Improved wide-angle, fisheye and omnidirectional camera calibration Type de document : Article/Communication Auteurs : Steffen Urban, Auteur ; Jens Leitloff, Auteur ; Stefan Hinz, Auteur Année de publication : 2015 Article en page(s) : pp 72 – 79 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] objectif grand angulaire [Termes IGN] orientation du capteur intégrée Résumé : (auteur) In this paper an improved method for calibrating wide-angle, fisheye and omnidirectional imaging systems is presented. We extend the calibration procedure proposed by Scaramuzza et al. by replacing the residual function and joint refinement of all parameters. In doing so, we achieve a more stable, robust and accurate calibration (up to factor 7) and can reduce the number of necessary calibration steps from five to three. After introducing the camera model and highlighting the differences from the current calibration procedure, we perform a comprehensive performance evaluation using several data sets and show the impact of the proposed calibration procedure on the calibration results. Numéro de notice : A2015-853 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.06.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.06.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79223 [article]

Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas / Martin Weinmann in Computers and graphics, vol 49 (June 2015)  

Public [article]  inComputers and graphics > vol 49 (June 2015) . - pp 47 - 57 Titre : Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas Type de document : Article/Communication Auteurs : Martin Weinmann, Auteur ; Steffen Urban, Auteur ; Stefan Hinz, Auteur ; Boris Jutzi, Auteur ; Clément Mallet , Auteur Année de publication : 2015 Article en page(s) : pp 47 - 57 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification automatique d'objets [Termes IGN] compréhension de l'image [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] grande échelle [Termes IGN] partition des données [Termes IGN] scène urbaine [Termes IGN] semis de points Résumé : (auteur) We propose a new methodology for large-scale urban 3D scene analysis in terms of automatically assigning 3D points the respective semantic labels. The methodology focuses on simplicity and reproducibility of the involved components as well as performance in terms of accuracy and computational efficiency. Exploiting a variety of low-level 2D and 3D geometric features, we further improve their distinctiveness by involving individual neighborhoods of optimal size. Due to the use of individual neighborhoods, the methodology is not tailored to a specific dataset, but in principle designed to process point clouds with a few millions of 3D points. Consequently, an extension has to be introduced for analyzing huge 3D point clouds with possibly billions of points for a whole city. For this purpose, we propose an extension which is based on an appropriate partitioning of the scene and thus allows a successive processing in a reasonable time without affecting the quality of the classification results. We demonstrate the performance of our methodology on two labeled benchmark datasets with respect to robustness, efficiency, and scalability. Numéro de notice : A2015--061 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cag.2015.01.006 Date de publication en ligne : 07/02/2015 En ligne : https://doi.org/10.1016/j.cag.2015.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83512 [article]