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
63daf9f79a