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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::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...

© 2009–2012, Willow Garage, Inc.
© 2012–, Open Perception, Inc.
Licensed under the BSD License.
https://pointclouds.org/documentation/group__recognition.html