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.

Note on QT: Qt4 is used by default. If you only have Qt5, edit the
option -DPCL_QT_VERSION and set it to 5.

Optional dependencies:

Available on SlackBuilds: - qhull, cudatoolkit
========

Not yet available on SlackBuilds:
========
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