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Auteur Jan Eric Kiprianidis |
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Out-of-core GPU-based change detection in massive 3D point clouds / Rico Richter in Transactions in GIS, vol 17 n° 5 (October 2013)
[article]
Titre : Out-of-core GPU-based change detection in massive 3D point clouds Type de document : Article/Communication Auteurs : Rico Richter, Auteur ; Jan Eric Kiprianidis, Auteur ; Jürgen Döllner, Auteur Année de publication : 2013 Article en page(s) : pp 724 - 741 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] attribut
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] processeur graphique
[Termes IGN] semis de points
[Termes IGN] structure de données localisées
[Termes IGN] visualisation 3D
[Termes IGN] visualisation simultanéeRésumé : (Auteur) If sites, cities, and landscapes are captured at different points in time using technology such as LiDAR, large collections of 3D point clouds result. Their efficient storage, processing, analysis, and presentation constitute a challenging task because of limited computation, memory, and time resources. In this work, we present an approach to detect changes in massive 3D point clouds based on an out-of-core spatial data structure that is designed to store data acquired at different points in time and to efficiently attribute 3D points with distance information. Based on this data structure, we present and evaluate different processing schemes optimized for performing the calculation on the CPU and GPU. In addition, we present a point-based rendering technique adapted for attributed 3D point clouds, to enable effective out-of-core real-time visualization of the computation results. Our approach enables conclusions to be drawn about temporal changes in large highly accurate 3D geodata sets of a captured area at reasonable preprocessing and rendering times. We evaluate our approach with two data sets from different points in time for the urban area of a city, describe its characteristics, and report on applications. Numéro de notice : A2013-579 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01362.x Date de publication en ligne : 05/12/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01362.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32715
in Transactions in GIS > vol 17 n° 5 (October 2013) . - pp 724 - 741[article]