Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 581-588, 2017
https://doi.org/10.5194/isprs-archives-XLII-5-W1-581-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
16 May 2017
DIGITAL INVESTIGATIONS OF AN ARCHAEOLOGICAL SMART POINT CLOUD: A REAL TIME WEB-BASED PLATFORM TO MANAGE THE VISUALISATION OF SEMANTICAL QUERIES
F. Poux1,†, R. Neuville1,†, P. Hallot2, L. Van Wersch3, A. Luczfalvy Jancsó4, and R. Billen1 1ULG, Department of Geography, Geomatics Unit, University of Liège, 4000 Liège, Belgium
2ULG, Architecture Faculty, Study and Representation of Space and Form, University of Liège, 4000 Liège, Belgium
3ULG, Institut of civilisations, arts and letters, University of Louvain, 1348 Louvain-la-Neuve, Belgium
4ULG, European Archaeometry Centre (CEA), University of Liège, 4000 Liège, Belgium
These authors contributed equally to this work.
Keywords: 3D Viewpoint management, Point Cloud, Semantic, WebGL, Segmentation, Classification, Feature extraction, Cultural Heritage, Conservation Abstract. While virtual copies of the real world tend to be created faster than ever through point clouds and derivatives, their working proficiency by all professionals’ demands adapted tools to facilitate knowledge dissemination. Digital investigations are changing the way cultural heritage researchers, archaeologists, and curators work and collaborate to progressively aggregate expertise through one common platform. In this paper, we present a web application in a WebGL framework accessible on any HTML5-compatible browser. It allows real time point cloud exploration of the mosaics in the Oratory of Germigny-des-Prés, and emphasises the ease of use as well as performances. Our reasoning engine is constructed over a semantically rich point cloud data structure, where metadata has been injected a priori. We developed a tool that directly allows semantic extraction and visualisation of pertinent information for the end users. It leads to efficient communication between actors by proposing optimal 3D viewpoints as a basis on which interactions can grow.
Conference paper (PDF, 2077 KB)


Citation: Poux, F., Neuville, R., Hallot, P., Van Wersch, L., Luczfalvy Jancsó, A., and Billen, R.: DIGITAL INVESTIGATIONS OF AN ARCHAEOLOGICAL SMART POINT CLOUD: A REAL TIME WEB-BASED PLATFORM TO MANAGE THE VISUALISATION OF SEMANTICAL QUERIES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 581-588, https://doi.org/10.5194/isprs-archives-XLII-5-W1-581-2017, 2017.

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