Massive PotreeConverter

Use parallel processing to quickly convert large point cloud data sets to the format used by the Potree viewer.

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mention
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contributors

Cite this software

What Massive PotreeConverter can do for you

  • For people wanting to visualize country sized point cloud data-sets using the Potree viewer, a way to convert the huge data-set for viewing in reasonable time.
  • This converter provides a way to convert the point cloud data to potree readable format in parallel instead of sequentially
  • The converter offered by potree will take a very long time to convert a huge data set as it will process each point in sequence, this software breaks the data-set up into pieces which can be converted in parallel, shortening the conversion time significantly
  • The converter was used for the visualization (http://ahn2.pointclouds.nl/) of the 640 billion point data-set of the Netherlands
Keywords
Programming language
  • Python 100%
License
  • Apache-2.0
</>Source code

Participating organisations

Environment & Sustainability
Environment & Sustainability
Delft University of Technology
Fugro
Netherlands eScience Center
Potree

Mentions

Contributors

Maarten van Meersbergen
Maarten van Meersbergen
OMR
Oscar Martinez Rubi

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Related software

AHN2 pointcloud viewer

AH

A web application able to visualize the AHN2 point cloud data of the Netherlands.

Updated 6 months ago
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