Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
open source software library |
| gptkbp:citation |
Rusu, R.B., & Cousins, S. (2011). 3D is here: Point Cloud Library (PCL). IEEE International Conference on Robotics and Automation (ICRA).
|
| gptkbp:containsModule |
gptkb:data_visualization
Person apps features recognition common ml registration search surface tools filters stereo tracking segmentation io keypoints octree kdtree outofcore sample_consensus |
| gptkbp:firstReleased |
2010
|
| gptkbp:focusesOn |
2D/3D image and point cloud processing
|
| https://www.w3.org/2000/01/rdf-schema#label |
PCL (Point Cloud Library)
|
| gptkbp:license |
gptkb:BSD_license
|
| gptkbp:programmingLanguage |
gptkb:C++
|
| gptkbp:relatedTo |
gptkb:ROS_(Robot_Operating_System)
gptkb:Open3D gptkb:LiDAR 3D scanning depth cameras |
| gptkbp:repository |
https://github.com/PointCloudLibrary/pcl
|
| gptkbp:supports |
gptkb:Windows
gptkb:macOS gptkb:Linux |
| gptkbp:supportsFormat |
gptkb:VTK
gptkb:STL gptkb:PCD gptkb:PLY gptkb:OBJ |
| gptkbp:usedBy |
gptkb:industry
gptkb:researchers academia |
| gptkbp:usedFor |
gptkb:SLAM
gptkb:data_visualization autonomous vehicles computer vision robotics registration filtering object recognition segmentation 3D mapping geometry processing surface reconstruction 3D point cloud processing feature estimation |
| gptkbp:website |
https://pointclouds.org/
|
| gptkbp:bfsParent |
gptkb:Eigen_(C++_library)
gptkb:RANSAC |
| gptkbp:bfsLayer |
8
|