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python-pcl

Use the industry-standard Point Cloud Library from within Python.

4
contributors

Cite this software

DOI:

10.5281/zenodo.1435460

Description

  • Point clouds are accessible as Numpy arrays
  • Loading and saving of (possibly colored) point clouds
  • Registration and boundary detection

The library was written for use in the Via Appia project; it is based on the work here.
Example usage and support for the common LAS format can be found in the PattyAnalytics repository.

Keywords
Big data
High performance computing
Programming languages
License
</>Source code

Participating organisations

Netherlands eScience Center

Contributors

Contact person

Jisk Attema
Jisk Attema
eScience Coordinator
Netherlands eScience Center
Joris Borgdorff
Joris Borgdorff
eScience Research Engineer
Netherlands eScience Center
Carlos Martinez-Ortiz
eScience Research Engineer
Netherlands eScience Center
LB
Lars Buitinck
Netherlands eScience Center

Related projects

Mapping the Via Appia in 3D

Developing a 4D geographic information system for archaeological purposes

Updated 30 months ago
Finished