PCSERVE-ND-Pointclouds Retrieval over the Web

M. Meijers*

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)193-200
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume10
Issue number4/W2-2022
DOIs
Publication statusPublished - 2022
Event17th 3D GeoInfo Conference, 3DGeoinfo 2022 - Sydney, Australia
Duration: 19 Oct 202221 Oct 2022

Keywords

  • Database Management System
  • Point Clouds
  • Space Filling Curve
  • Web Based Visualisation
  • Web Service

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