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Point Cloud Library (PCL): Module recognition
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Point Cloud Library (PCL)
1.15.1-dev
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Module recognition
Detailed Description
Overview
The PCL recognition module contains algorithms used for Object Recognition applications.
Requirements
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::DOTMOD |
| Template matching using the DOTMOD approach. More... | |
| class | pcl::GreedyVerification< ModelT, SceneT > |
| A greedy hypothesis verification method. More... | |
| class | pcl::GlobalHypothesesVerification< ModelT, SceneT > |
| A hypothesis verification method proposed in "A Global Hypotheses Verification Method for 3D Object Recognition", A. More... | |
| class | pcl::PapazovHV< ModelT, SceneT > |
| A hypothesis verification method proposed in "An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes", C. More... | |
| class | pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT > |
| This class implements Implicit Shape Model algorithm described in "Hough Transforms and 3D SURF for robust three dimensional classification" by Jan Knopp, Mukta Prasad, Geert Willems, Radu Timofte, and Luc Van Gool. More... | |
| class | pcl::LineRGBD< PointXYZT, PointRGBT > |
| High-level class for template matching using the LINEMOD approach based on RGB and Depth data. More... | |
| class | pcl::LINEMOD |
| Template matching using the LINEMOD approach. More... | |
| class | pcl::QuantizableModality |
| Interface for a quantizable modality. 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... | |
| class | pcl::SurfaceNormalModality< PointInT > |
| Modality based on surface normals. More... | |
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Pages generated on Sat Dec 27 2025 10:44:14