PattyAnalytics

Library for matching point clouds by aligning and scaling a high-resolution point cloud to a low-resolution background.

4
contributors
435 commits | Last update: March 07, 2016

What PattyAnalytics can do for you

  • Place an object (dense but small point cloud) on a drive map (sparse point cloud with large extent)
  • Rotate, scale, and translate the object to absolute dimenstion (meters, lat/lon)
  • Read and write LAS files

This library builds on Python bindings from the python-pcl package, which in turn uses the state of the art Point Cloud Library. This allows us to scale up to large point clouds, while keeping good performance via optional GPU acceleration.

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Tags
  • Big data
Programming Language
  • Python
License
  • Apache-2.0

Participating organizations

Contributors

  • Jisk Attema
    Netherlands eScience Center
  • Lars Buitinck
    Netherlands eScience Center
  • Joris Borgdorff
    Netherlands eScience Center
  • Carlos Martinez-Ortiz
    Netherlands eScience Center
Contact person
Jisk Attema
Netherlands eScience Center