Sign in
Ctrl K

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

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
</>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

Related projects

Big Data Analytics in the Geo-Spatial Domain

Empowering geo-spatial analytics with database technology

Updated 14 months ago
Finished

Mapping the Via Appia in 3D

Developing a 4D geographic information system for archaeological purposes

Updated 14 months ago
Finished

Massive Point Clouds for eSciences

Using point clouds to their full potential

Updated 14 months ago
Finished

Related software

AHN2 pointcloud viewer

AH

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

Updated 8 months ago
1 3