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41 lines
1.5 KiB
Text
41 lines
1.5 KiB
Text
The Point Cloud Library (or PCL) is a large scale, open project for
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2D/3D image and point cloud processing. The PCL framework contains
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numerous state-of-the art algorithms including filtering, feature
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estimation, surface reconstruction, registration, model fitting and
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segmentation. These algorithms can be used, for example, to filter
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outliers from noisy data, stitch 3D point clouds together, segment
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relevant parts of a scene, extract keypoints and compute descriptors
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to recognize objects in the world based on their geometric appearance,
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and create surfaces from point clouds and visualize them -- to name
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a few.
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Note on QT: Qt4 is used by default. If you only have Qt5, edit the
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option -DPCL_QT_VERSION and set it to 5.
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Optional dependencies:
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Available on SlackBuilds: - qhull, cudatoolkit
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========
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Not yet available on SlackBuilds:
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========
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OpenNI - enables OpenNI grabber support
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https://github.com/OpenNI/OpenNI ; http://structure.io/openni
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OpenNI2 - enables OpenNI2 grabber support
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https://github.com/OpenNI/OpenNI2 ; http://structure.io/openni
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FZAPI - enables fotonic camera support
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ensenso - enables IDS-Imaging Ensenso camera support
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http://www.ensenso.com/support/sdk-download/
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davidSDK - enables David Vision Systems SDK support
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- official http://www.david-3d.com/en/support/downloads
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- free fork https://github.com/InstitutMaupertuis/davidSDK
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Depth Sense SDK (DSSDK) - enables DepthSense SDK support
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https://github.com/huningxin/DSSDK
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RealSense SDK (RSSDK) - enables RealSense SDK support
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https://github.com/IntelRealSense/realsense_sdk
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