PCSERVE-ND-Pointclouds Retrieval over the Web

Journal Article (2022)
Author(s)

M. Meijers (TU Delft - GIS Technologie)

Research Group
GIS Technologie
DOI related publication
https://doi.org/10.5194/isprs-annals-X-4-W2-2022-193-2022 Final published version
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Publication Year
2022
Language
English
Research Group
GIS Technologie
Issue number
4/W2-2022
Volume number
10
Pages (from-to)
193-200
Event
17th 3D GeoInfo Conference, 3DGeoinfo 2022 (2022-10-19 - 2022-10-21), Sydney, Australia
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Abstract

We investigate how PCServe, a web service for disseminating massive point clouds, performs for read-only access (i.e. a visualization application). PCServe is backed by a database model based on Space Filling Curves. By adding a virtual hierarchy of blocks to the database, we can support different visualization applications for retrieval of point cloud data over the web without having to store the data multiple times. This makes expressive access to point clouds over the web possible. We investigate the amount of processing that is needed to create the database model and how well PCServe handles requests from the visualization application. Some suggestions are provided how the current approach can be improved.