The Point Cloud Library (or PCL) is a large scale, open project for
2D/3D image and point cloud processing. The PCL framework contains
numerous state-of-the art algorithms including filtering, feature
estimation, surface reconstruction, registration, model fitting and
segmentation.  These algorithms can be used, for example, to filter
outliers from noisy data, stitch 3D point clouds together, segment
relevant parts of a scene, extract keypoints and compute descriptors
to recognize objects in the world based on their geometric appearance,
and create surfaces from point clouds and visualize them -- to name
a few.

An optional dependency is one of the several cudatoolkits available
at SBo, namely:
- cudatoolkit (version 10.2.89)
  This version is not detected (therefore not used) when building pcl

- cudatoolkit_12 (version 12.9.1)
  This version is detected and used when building pcl.
  This version requires gcc14 (in order to provide CUDA support when
  building Blender). It's worth considering pros/cons of having two
  GCCs installed at the same time.

- cudatoolkit_13 (version 13.2.0)
  This version is detected and used when building pcl.


Optional dependencies - not yet available on SBo:

OpenNI - enables OpenNI grabber support
https://github.com/OpenNI/OpenNI ; http://structure.io/openni

OpenNI2 - enables OpenNI2 grabber support
https://github.com/OpenNI/OpenNI2 ; http://structure.io/openni

FZAPI - enables fotonic camera support

ensenso - enables IDS-Imaging Ensenso camera support
http://www.ensenso.com/support/sdk-download/

davidSDK - enables David Vision Systems SDK support
- official http://www.david-3d.com/en/support/downloads
- free fork https://github.com/InstitutMaupertuis/davidSDK

Depth Sense SDK (DSSDK) - enables DepthSense SDK support
https://github.com/huningxin/DSSDK

RealSense SDK (RSSDK) - enables RealSense SDK support
https://github.com/IntelRealSense/realsense_sdk