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Auteur Xianxiong Liu |
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An effective spherical panoramic LoD model for a mobile street view service / Xianxiong Liu in Transactions in GIS, vol 21 n° 5 (October 2017)
[article]
Titre : An effective spherical panoramic LoD model for a mobile street view service Type de document : Article/Communication Auteurs : Xianxiong Liu, Auteur ; Qingwu Hu, Auteur ; Mingyao Ai, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 897 - 915 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] Androïd
[Termes IGN] carte
[Termes IGN] image panoramique
[Termes IGN] navigation
[Termes IGN] niveau de détail
[Termes IGN] projection
[Termes IGN] réalité augmentée
[Termes IGN] scène urbaine
[Termes IGN] visualisation
[Termes IGN] visualisation 3D
[Termes IGN] Web View ServiceRésumé : (Auteur) Street view (panoramic view) services have begun to shift from PC platforms to mobile smart devices. Considering the capabilities of smart terminal devices, a 360° spherical level of detail (LoD) model for mobile street view services that renders panoramic images on the inner surface of a sphere via LoD is proposed in this article. Panoramic images are segmented into tiles and organized in a pyramid tile structure for LoD rendering to improve the rendering efficiency of the proposed model. A projection model between panoramic images and the spherical surface is presented to map the panoramic tiles on the spherical graticule. A street view-rendering algorithm of panoramic images is proposed with the rendering function of OpenGL for Embedded Systems (OpenGL ES). A street view service app running on Android, based on the proposed approach, is implemented to assess two aspects of the panoramic view model, namely visualization effect and efficiency. Experiment results reveal that the 360° spherical LoD model of the panoramic image can display 3D street view scenes better than the cubic panoramic view model. The proposed model also has an excellent 3D visualization effect and high-efficiency rendering ability for mobile street view services. Therefore, it is applicable in large-scale mobile street view services both online and offline and in augmented reality navigation. Numéro de notice : A2017-632 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12247 En ligne : http://dx.doi.org/10.1111/tgis.12247 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86950
in Transactions in GIS > vol 21 n° 5 (October 2017) . - pp 897 - 915[article]