Visualisation and personalisation of multi-representations city models
City models have a wide variety of uses that require different kind of data representation or data models. Having a dynamic model that enables picking the right representations (meshes, volumetric data, point cloud, etc.) can prove useful to adapt an application to each user's needs. In this pa...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2020-05-01
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Series: | International Journal of Digital Earth |
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Online Access: | http://dx.doi.org/10.1080/17538947.2018.1550122 |
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author | Jérémy Gaillard Adrien Peytavie Gilles Gesquiére |
author_facet | Jérémy Gaillard Adrien Peytavie Gilles Gesquiére |
author_sort | Jérémy Gaillard |
collection | DOAJ |
description | City models have a wide variety of uses that require different kind of data representation or data models. Having a dynamic model that enables picking the right representations (meshes, volumetric data, point cloud, etc.) can prove useful to adapt an application to each user's needs. In this paper, we present an original method to create personalised visualisations of 3D city models on the fly. By organising the server data in a hierarchy of tiles, we are able to generate personalised models based on the user's preferences. These preferences take the shape of a set of rules that apply to each tile or city object and allow the user to choose which representation of the object to use depending on its position or semantic information (classification, height, etc.). Our method is designed around existing standards, guaranteeing the interoperability of the produced models. |
first_indexed | 2024-03-11T23:01:42Z |
format | Article |
id | doaj.art-8ef1838fbcf84205a883f1f2a10e17cd |
institution | Directory Open Access Journal |
issn | 1753-8947 1753-8955 |
language | English |
last_indexed | 2024-03-11T23:01:42Z |
publishDate | 2020-05-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | International Journal of Digital Earth |
spelling | doaj.art-8ef1838fbcf84205a883f1f2a10e17cd2023-09-21T14:57:08ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552020-05-0113562764410.1080/17538947.2018.15501221550122Visualisation and personalisation of multi-representations city modelsJérémy Gaillard0Adrien Peytavie1Gilles Gesquiére2Univ LyonUniv LyonUniv LyonCity models have a wide variety of uses that require different kind of data representation or data models. Having a dynamic model that enables picking the right representations (meshes, volumetric data, point cloud, etc.) can prove useful to adapt an application to each user's needs. In this paper, we present an original method to create personalised visualisations of 3D city models on the fly. By organising the server data in a hierarchy of tiles, we are able to generate personalised models based on the user's preferences. These preferences take the shape of a set of rules that apply to each tile or city object and allow the user to choose which representation of the object to use depending on its position or semantic information (classification, height, etc.). Our method is designed around existing standards, guaranteeing the interoperability of the produced models.http://dx.doi.org/10.1080/17538947.2018.15501223dvisualisationwebgeospatialcity model |
spellingShingle | Jérémy Gaillard Adrien Peytavie Gilles Gesquiére Visualisation and personalisation of multi-representations city models International Journal of Digital Earth 3d visualisation web geospatial city model |
title | Visualisation and personalisation of multi-representations city models |
title_full | Visualisation and personalisation of multi-representations city models |
title_fullStr | Visualisation and personalisation of multi-representations city models |
title_full_unstemmed | Visualisation and personalisation of multi-representations city models |
title_short | Visualisation and personalisation of multi-representations city models |
title_sort | visualisation and personalisation of multi representations city models |
topic | 3d visualisation web geospatial city model |
url | http://dx.doi.org/10.1080/17538947.2018.1550122 |
work_keys_str_mv | AT jeremygaillard visualisationandpersonalisationofmultirepresentationscitymodels AT adrienpeytavie visualisationandpersonalisationofmultirepresentationscitymodels AT gillesgesquiere visualisationandpersonalisationofmultirepresentationscitymodels |