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Point Cloud Library (PCL)
1.12.0-dev
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The PCL recognition module contains algorithms used for Object Recognition applications.
Classes | |
| class | pcl::CorrespondenceGrouping< PointModelT, PointSceneT > |
| Abstract base class for Correspondence Grouping algorithms. More... | |
| class | pcl::GeometricConsistencyGrouping< PointModelT, PointSceneT > |
| Class implementing a 3D correspondence grouping enforcing geometric consistency among feature correspondences. More... | |
| class | pcl::recognition::HoughSpace3D |
| HoughSpace3D is a 3D voting space. More... | |
| class | pcl::Hough3DGrouping< PointModelT, PointSceneT, PointModelRfT, PointSceneRfT > |
| Class implementing a 3D correspondence grouping algorithm that can deal with multiple instances of a model template found into a given scene. More... | |
| class | pcl::CRHAlignment< PointT, nbins_ > |
| CRHAlignment uses two Camera Roll Histograms (CRH) to find the roll rotation that aligns both views. More... | |
| class | pcl::recognition::ObjRecRANSAC |
| This is a RANSAC-based 3D object recognition method. More... | |
| class | pcl::recognition::ORROctree |
| That's a very specialized and simple octree class. More... | |
| class | pcl::recognition::RotationSpace |
| This is a class for a discrete representation of the rotation space based on the axis-angle representation. More... | |