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TerraMobilita/iQmulus urban point cloud analysis benchmark / Bruno Vallet in Computers and graphics, vol 49 (June 2015)  

Public [article]  inComputers and graphics > vol 49 (June 2015) . - pp 126 - 133 Titre : TerraMobilita/iQmulus urban point cloud analysis benchmark Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Mathieu Brédif , Auteur ; Andrès Serna, Auteur ; Beatriz Marcotegui, Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2015 Projets : IQmulus / Métral, Claudine, Terra Mobilita / Métral, Claudine Article en page(s) : pp 126 - 133 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] arbre de décision [Termes IGN] classification [Termes IGN] compréhension de l'image [Termes IGN] détection [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] réalité de terrain [Termes IGN] scène urbaine [Termes IGN] semis de points Résumé : (Auteur) The objective of the TerraMobilita/iQmulus 3D urban analysis benchmark is to evaluate the current state of the art in urban scene analysis from mobile laser scanning (MLS) at large scale. A very detailed semantic tree for urban scenes is proposed. We call analysis the capacity of a method to separate the points of the scene into these categories (classification), and to separate the different objects of the same type for object classes (detection). A very large ground truth is produced manually in two steps using advanced editing tools developed especially for this benchmark. Based on this ground truth, the benchmark aims at evaluating the classification, detection and segmentation quality of the submitted results. Numéro de notice : A2015--111 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cag.2015.03.004 Date de publication en ligne : 11/03/2015 En ligne : https://doi.org/10.1016/j.cag.2015.03.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90633 [article]

Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning / Andrès Serna in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp . 243 - 255 Titre : Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning Type de document : Article/Communication Auteurs : Andrès Serna, Auteur ; Beatriz Marcotegui, Auteur Année de publication : 2014 Article en page(s) : pp . 243 - 255 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification automatique d'objets [Termes IGN] détection du bâti [Termes IGN] reconstruction 3D [Termes IGN] segmentation d'image [Termes IGN] semis de points Résumé : (Auteur)We propose an automatic and robust approach to detect, segment and classify urban objects from 3D point clouds. Processing is carried out using elevation images and the result is reprojected onto the 3D point cloud. First, the ground is segmented and objects are detected as discontinuities on the ground. Then, connected objects are segmented using a watershed approach. Finally, objects are classified using SVM with geometrical and contextual features. Our methodology is evaluated on databases from Ohio (USA) and Paris (France). In the former, our method detects 98% of the objects, 78% of them are correctly segmented and 82% of the well-segmented objects are correctly classified. In the latter, our method leads to an improvement of about 15% on the classification step with respect to previous works. Quantitative results prove that our method not only provides a good performance but is also faster than other works reported in the literature. Numéro de notice : A2014-337 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.03.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.03.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73705 [article]

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Urban accessibility diagnosis from mobile laser scanning data / Andrès Serna in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 84 (October 2013) . - pp 23 - 32 Titre : Urban accessibility diagnosis from mobile laser scanning data Type de document : Article/Communication Auteurs : Andrès Serna, Auteur ; Beatriz Marcotegui, Auteur Année de publication : 2013 Article en page(s) : pp 23 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] accessibilité [Termes IGN] calcul d'itinéraire [Termes IGN] courbe de Bézier [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] extraction de traits caractéristiques [Termes IGN] milieu urbain [Termes IGN] segmentation [Termes IGN] semis de points Résumé : (Auteur) In this paper, we present an approach for automatic analysis of urban accessibility using 3D point clouds. Our approach is based on range images and it consists in two main steps: urban objects segmentation and curbs detection. Both of them are required for accessibility diagnosis and itinerary planning. Our method automatically segments facades and urban objects using two hypotheses: facades are the highest vertical structures in the scene and objects are bumps on the ground on the range image. The segmentation result is used to build an urban obstacle map. After that, the gradient is computed on the ground range image. Curb candidates are selected using height and geodesic features. Then, nearby curbs are reconnected using Bézier curves. Finally, accessibility is defined based on geometrical features and accessibility standards. Our methodology is tested on two MLS databases from Paris (France) and Enschede (The Netherlands). Our experiments show that our method has good detection rates, is fast and presents few false alarms. Our method outperforms other works reported in the literature on the same databases. Numéro de notice : A2013-514 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.07.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32651 [article]

Exemplaires(1)

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081-2013101	RAB	Revue	Centre de documentation	En réserve L003	Disponible