Detailed Description

Overview

The PCL recognition module contains algorithms used for Object Recognition applications.

Requirements

• common
• search
• features

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...