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Massive PotreeConverter

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

1
mention
3
contributors

Cite this software

DOI:

10.5281/zenodo.910905

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

Delft University of Technology
Fugro
Netherlands eScience Center
Potree

Mentions

Contributors

Contact person

Stefan Verhoeven

Stefan Verhoeven

Netherlands eScience Center
Mail Stefan
Maarten van Meersbergen
Maarten van Meersbergen
Netherlands eScience Center
OMR
Oscar Martinez Rubi
Netherlands eScience Center
Stefan Verhoeven
Stefan Verhoeven
Netherlands eScience Center

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Related tools

AHN2 pointcloud viewer

AH

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

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