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WebGL point cloud viewer for large datasets
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README.md

About

Potree is a free open-source WebGL based point cloud renderer for large point clouds. It is based on the TU Wien Scanopy project and research projects Harvest4D, GCD Doctoral College and Superhumans.

Newest information and work in progress is usually available on twitter

Contact: Markus Schütz (mschuetz@potree.org)

Reference: Potree: Rendering Large Point Clouds in Web Browsers

Getting Started

Build and Run

Install node.js

Install all dependencies, as specified in package.json:

npm install

Use npm run build to create ./build/potree.

Use the npm start command to

  • create ./build/potree
  • watch for changes to the source code and automatically create a new build on change
  • start a web server at localhost:1234.

Go to http://localhost:1234/examples/ to test the examples.

Convert

Download PotreeConverter and run it like this:

./PotreeConverter.exe C:/pointclouds/data.las -o C:/pointclouds/data_converted

Copy the converted directory into <potreeDirectory>/pointclouds/data_converted. Then, duplicate and rename one of the examples and modify the path in the html file to your own point cloud.

Downloads

Examples

Virtual RealityOriented ImagesGeopackageClassificationsCamera AnimationLoad Project
ToolbarMatcapBasic ViewerHeidentorLionLion LAS
Lion LAZEPTEPT BinaryEPT zstandardClipping VolumeCA13
Elevation ProfileMeasurementsMeshesMultiple Point CloudsFeatures (Sorvilier)Features (CA13)
AnnotationsHierarchical AnnotationsAnimation PathShapefilesCesium CA13Cesium Retz
Cesium SorvilierCustom Sidebar SectionEmbedded IframeGradient Colors

Funding

Potree is funded by a combination of research projects, companies and institutions.

Project Name Funding Agency
Harvest4D EU 7th Framework Program 323567
GCD Doctoral College TU Wien
Superhumans FWF

We would like to thank our sponsors for their financial contributions that keep this project up and running!

Diamond
€ 15,000+
         
Gold
€ 10,000+
Silver
€ 5,000+
Bronze
€ 1,000+
       
     

Credits

  • The multi-res-octree algorithms used by this viewer were developed at the Vienna University of Technology by Michael Wimmer and Claus Scheiblauer as part of the Scanopy Project.
  • Three.js, the WebGL 3D rendering library on which potree is built.
  • plas.io point cloud viewer. LAS and LAZ support have been taken from the laslaz.js implementation of plas.io. Thanks to Uday Verma and Howard Butler for this!
  • Harvest4D Potree currently runs as Master Thesis under the Harvest4D Project
  • Christian Boucheny (EDL developer) and Daniel Girardeau-Montaut (CloudCompare). The EDL shader was adapted from the CloudCompare source code!
  • Martin Isenburg, Georepublic, Veesus, Sigeom Sa, SITN, LBI ArchPro, Pix4D as well as all the contributers to potree and PotreeConverter and many more for their support.
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