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Semantically Enhanced 3D

A Web-based Platform for Spatial Integration of Excavation Documentation at Alken Enge, Denmark

Bibliographic Data

ID11074100
AuthorsPeter Jensen (0000-0002-5179-6884, Aarhus University, Aarhus, Denmark), Peter Kryger Jensen (Aarhus University, corresponding author)
Year2018
Volume43
Issuesup1
PagesS31-S44
Publication date2018-10-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Field Archaeology (JOURNAL)
Journal identifiersISSN: 0093-4690 • E-ISSN: 2042-4582
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00934690.2018.1510299
OpenAlexW2899929762
LanguageEN
Citations received14
References cited37

The photorealistic and geometrically accurate 3-dimensional representation of excavations, provided by image-based modeling, has the potential to transform the process of excavation documentation, making it easier to share observations with other researchers. Paradoxically, however, spatial representation lacks the ability to convey archaeological interpretations. By example of excavations in Alken Enge, Denmark, this paper explores how a web-based 3D platform is able to facilitate the collaborative exchange of 3D excavation content and how the integration of spatial and attribute data into one common event-based data model may be advantageous. This includes enhancing the semantic value of field-recorded 3D models by segmenting the geometry using various techniques, such as 3D projections and machine learning. Accordingly, the paper demonstrates a framework for interactive 3D models, which includes attributed classification based on segmented 3D content correlated with traditional raster, vector, and textual data, delivering a spatially integrated platform for collaborative research

3D modeling · Archaeology · Documentation · Excavation · Field (mathematics · Geography · Process (computing · Raster graphics · Representation (politics · 3D Surveying and Cultural Heritage · Archaeological Research and Protection · Artificial Intelligence · Computer Science · Image Processing and 3D Reconstruction

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Unique citing works14
Citations per year2
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 14

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