Towards the Reconstruction of Wide Historical Sites: A Local Graph-based Representation to Resample Gigantic Acquisitions

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dc.contributor.authorBletterer, Arnauden_US
dc.contributor.authorPayan, Frédéricen_US
dc.contributor.authorAntonini, Marcen_US
dc.contributor.authorMeftah, Anisen_US
dc.contributor.editorSablatnig, Robert and Wimmer, Michaelen_US
dc.date.accessioned2018-11-11T10:57:26Z
dc.date.available2018-11-11T10:57:26Z
dc.date.issued2018
dc.description.abstractNowadays, LiDAR scanners are able to digitize very wide historical sites, leading to point clouds composed of billions of points. These point clouds are able to describe very small objects or elements disseminated in these sites, but also exhibit numerous defects in terms of sampling quality. Moreover, they sometimes contain too many samples to be processed as they are. In this paper, we propose a local graph-based structure to deal with the set of LiDAR acquisitions of a digitization campaign. Each acquisition is considered as a graph representing the local behavior of the captured surface. Those local graphs are then connected together to obtain a single and global representation of the original scene. This structure is particularly suitable for resampling gigantic points clouds. We show how we can reduce the number of points drastically while preserving the visual quality of large and complex sites, whatever the number of acquisitions.en_US
dc.description.sectionheaders3D Reconstruction for CH
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20181342
dc.identifier.isbn978-3-03868-057-4
dc.identifier.issn2312-6124
dc.identifier.pages67-76
dc.identifier.urihttps://doi.org/10.2312/gch.20181342
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20181342
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]
dc.subjectScene Analysis
dc.subjectRange data
dc.subjectI.3.5 [Computer Graphics]
dc.subjectComputational Geometry and Object Modeling
dc.subjectGeometric algorithms
dc.subjectlanguages
dc.subjectand systems
dc.titleTowards the Reconstruction of Wide Historical Sites: A Local Graph-based Representation to Resample Gigantic Acquisitionsen_US
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GCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage