Module recognition

## 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...