41 lines
1.5 KiB
Plaintext
41 lines
1.5 KiB
Plaintext
The Point Cloud Library (or PCL) is a large scale, open project for 2D/3D
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image and point cloud processing. The PCL framework contains numerous
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state-of-the art algorithms including filtering, feature estimation,
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surface reconstruction, registration, model fitting and segmentation.
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These algorithms can be used, for example, to filter outliers from noisy
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data, stitch 3D point clouds together, segment relevant parts of a scene,
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extract keypoints and compute descriptors to recognize objects in the
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world based on their geometric appearance, and create surfaces from point
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clouds and visualize them -- to name a few.
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Note on QT: Qt4 is used by default. If you only have Qt5, edit the option
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-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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