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...

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Main Authors: Jérémy Gaillard, Adrien Peytavie, Gilles Gesquiére
Format: Article
Language:English
Published: Taylor & Francis Group 2020-05-01
Series:International Journal of Digital Earth
Subjects:
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.
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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