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. 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