City Reconstruction and Visualization from Public Data Sources

Simple item page
dc.contributor.authorMenzel, J. Roberten_US
dc.contributor.authorMiddelberg, Svenen_US
dc.contributor.authorTrettner, Philipen_US
dc.contributor.authorJonas, Bastianen_US
dc.contributor.authorKobbelt, Leifen_US
dc.contributor.editorVincent Tourre and Filip Biljeckien_US
dc.date.accessioned2016-12-07T17:24:02Z
dc.date.available2016-12-07T17:24:02Z
dc.date.issued2016
dc.description.abstractWe present a city reconstruction and visualization framework that integrates geometric models reconstructed with a range of different techniques. The framework generates the vast majority of buildings procedurally, which yields plausible visualizations for structurally simple buildings, e.g. residential buildings. For structurally complex landmarks, e.g. churches, a procedural approach does not achieve satisfactory visual fidelity. Thus, we also employ image-based techniques to reconstruct the latter in a more realistic, recognizable way. As the manual acquisition of data required for the procedural and image-based reconstructions is practically infeasible for whole cities, we rely on publicly available data as well as crowd sourcing projects. This enables our framework to render views from cities without any dedicated data acquisition as long as there are sufficient public data sources available. To obtain a more lively impression of a city, we also visualize dynamic features like weather conditions and traffic based on publicly available real-time data.en_US
dc.description.sectionheadersVisualisation
dc.description.seriesinformationEurographics Workshop on Urban Data Modelling and Visualisation
dc.identifier.doi10.2312/udmv.20161424
dc.identifier.isbn978-3-03868-013-0
dc.identifier.issn2307-8251
dc.identifier.pages79-85
dc.identifier.urihttps://doi.org/10.2312/udmv.20161424
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/udmv20161424
dc.publisherThe Eurographics Associationen_US
dc.titleCity Reconstruction and Visualization from Public Data Sourcesen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
079-085.pdf
Size:
5.15 MB
Format:
Adobe Portable Document Format
Download
Collections
UDMV16: Eurographics Workshop on Urban Data Modelling and Visualisation