CVFHEstimation estimates the Clustered Viewpoint Feature Histogram (CVFH) descriptor for a given point cloud dataset containing XYZ data and normals, as presented in: More...

#include <pcl/features/cvfh.h>

Inheritance diagram for pcl::CVFHEstimation< PointInT, PointNT, PointOutT >:

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Collaboration diagram for pcl::CVFHEstimation< PointInT, PointNT, PointOutT >:

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Public Types
typedef Feature< PointInT, PointOutT >::PointCloudOut	PointCloudOut

typedef pcl::search::Search < PointNormal >::Ptr	KdTreePtr

typedef pcl::NormalEstimation < PointNormal, PointNormal >	NormalEstimator

typedef pcl::VFHEstimation < PointInT, PointNT, pcl::VFHSignature308 >	VFHEstimator

typedef pcl::PointCloud< PointNT >	PointCloudN

typedef PointCloudN::Ptr	PointCloudNPtr

typedef PointCloudN::ConstPtr	PointCloudNConstPtr

typedef boost::shared_ptr < FeatureFromNormals< PointInT, PointNT, PointOutT > >	Ptr

typedef boost::shared_ptr < const FeatureFromNormals < PointInT, PointNT, PointOutT > >	ConstPtr

typedef PCLBase< PointInT >	BaseClass

typedef pcl::search::Search < PointInT >	KdTree

typedef boost::function< int(size_t, double, std::vector< int > &, std::vector< float > &)>	SearchMethod

typedef boost::function< int(const PointCloudIn &cloud, size_t index, double, std::vector < int > &, std::vector< float > &)>	SearchMethodSurface

typedef pcl::PointCloud< PointInT >	PointCloud

typedef PointCloud::Ptr	PointCloudPtr

typedef PointCloud::ConstPtr	PointCloudConstPtr

typedef PointIndices::Ptr	PointIndicesPtr

typedef PointIndices::ConstPtr	PointIndicesConstPtr

Public Member Functions
	CVFHEstimation ()
	Empty constructor. More...

void	filterNormalsWithHighCurvature (const pcl::PointCloud< PointNT > &cloud, std::vector< int > &indices_to_use, std::vector< int > &indices_out, std::vector< int > &indices_in, float threshold)
	Removes normals with high curvature caused by real edges or noisy data. More...

void	setViewPoint (float vpx, float vpy, float vpz)
	Set the viewpoint. More...

void	setRadiusNormals (float radius_normals)
	Set the radius used to compute normals. More...

void	getViewPoint (float &vpx, float &vpy, float &vpz)
	Get the viewpoint. More...

void	getCentroidClusters (std::vector< Eigen::Vector3f > &centroids)
	Get the centroids used to compute different CVFH descriptors. More...

void	getCentroidNormalClusters (std::vector< Eigen::Vector3f > &centroids)
	Get the normal centroids used to compute different CVFH descriptors. More...

void	setClusterTolerance (float d)
	Sets max. More...

void	setEPSAngleThreshold (float d)
	Sets max. More...

void	setCurvatureThreshold (float d)
	Sets curvature threshold for removing normals. More...

void	setMinPoints (size_t min)
	Set minimum amount of points for a cluster to be considered. More...

void	setNormalizeBins (bool normalize)
	Sets wether if the CVFH signatures should be normalized or not. More...

void	compute (PointCloudOut &output)
	Overloaded computed method from pcl::Feature. More...

void	setInputNormals (const PointCloudNConstPtr &normals)
	Provide a pointer to the input dataset that contains the point normals of the XYZ dataset. More...

PointCloudNConstPtr	getInputNormals () const
	Get a pointer to the normals of the input XYZ point cloud dataset. More...

void	setSearchSurface (const PointCloudInConstPtr &cloud)
	Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset. More...

PointCloudInConstPtr	getSearchSurface () const
	Get a pointer to the surface point cloud dataset. More...

void	setSearchMethod (const KdTreePtr &tree)
	Provide a pointer to the search object. More...

KdTreePtr	getSearchMethod () const
	Get a pointer to the search method used. More...

double	getSearchParameter () const
	Get the internal search parameter. More...

void	setKSearch (int k)
	Set the number of k nearest neighbors to use for the feature estimation. More...

int	getKSearch () const
	get the number of k nearest neighbors used for the feature estimation. More...

void	setRadiusSearch (double radius)
	Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. More...

double	getRadiusSearch () const
	Get the sphere radius used for determining the neighbors. More...

void	computeEigen (pcl::PointCloud< Eigen::MatrixXf > &output)
	Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () More...

virtual void	setInputCloud (const PointCloudConstPtr &cloud)
	Provide a pointer to the input dataset. More...

PointCloudConstPtr const	getInputCloud ()
	Get a pointer to the input point cloud dataset. More...

void	setIndices (const IndicesPtr &indices)
	Provide a pointer to the vector of indices that represents the input data. More...

void	setIndices (const IndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data. More...

void	setIndices (const PointIndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data. More...

void	setIndices (size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols)
	Set the indices for the points laying within an interest region of the point cloud. More...

IndicesPtr const	getIndices ()
	Get a pointer to the vector of indices used. More...

const PointInT &	operator[] (size_t pos)
	Override PointCloud operator[] to shorten code. More...

Detailed Description

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
class pcl::CVFHEstimation< PointInT, PointNT, PointOutT >

CVFHEstimation estimates the Clustered Viewpoint Feature Histogram (CVFH) descriptor for a given point cloud dataset containing XYZ data and normals, as presented in:

CAD-Model Recognition and 6 DOF Pose Estimation A. Aldoma, N. Blodow, D. Gossow, S. Gedikli, R.B. Rusu, M. Vincze and G. Bradski ICCV 2011, 3D Representation and Recognition (3dRR11) workshop Barcelona, Spain, (2011)

The suggested PointOutT is pcl::VFHSignature308.

Author: Aitor Aldoma

Definition at line 65 of file cvfh.h.

Member Typedef Documentation

template<typename PointInT, typename PointOutT>

typedef PCLBase<PointInT> pcl::Feature< PointInT, PointOutT >::BaseClass

inherited

Definition at line 110 of file feature.h.

template<typename PointInT, typename PointNT, typename PointOutT>

typedef boost::shared_ptr< const FeatureFromNormals<PointInT, PointNT, PointOutT> > pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::ConstPtr

inherited

Definition at line 333 of file feature.h.

template<typename PointInT, typename PointOutT>

typedef pcl::search::Search<PointInT> pcl::Feature< PointInT, PointOutT >::KdTree

inherited

Definition at line 115 of file feature.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

typedef pcl::search::Search<PointNormal>::Ptr pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::KdTreePtr

Definition at line 77 of file cvfh.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

typedef pcl::NormalEstimation<PointNormal, PointNormal> pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::NormalEstimator

Definition at line 78 of file cvfh.h.

typedef pcl::PointCloud<PointInT > pcl::PCLBase< PointInT >::PointCloud

inherited

Definition at line 74 of file pcl_base.h.

typedef PointCloud::ConstPtr pcl::PCLBase< PointInT >::PointCloudConstPtr

inherited

Definition at line 76 of file pcl_base.h.

template<typename PointInT, typename PointNT, typename PointOutT>

typedef pcl::PointCloud<PointNT> pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::PointCloudN

inherited

Definition at line 328 of file feature.h.

template<typename PointInT, typename PointNT, typename PointOutT>

typedef PointCloudN::ConstPtr pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::PointCloudNConstPtr

inherited

Definition at line 330 of file feature.h.

template<typename PointInT, typename PointNT, typename PointOutT>

typedef PointCloudN::Ptr pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::PointCloudNPtr

inherited

Definition at line 329 of file feature.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

typedef Feature<PointInT, PointOutT>::PointCloudOut pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::PointCloudOut

Definition at line 76 of file cvfh.h.

typedef PointCloud::Ptr pcl::PCLBase< PointInT >::PointCloudPtr

inherited

Definition at line 75 of file pcl_base.h.

typedef PointIndices::ConstPtr pcl::PCLBase< PointInT >::PointIndicesConstPtr

inherited

Definition at line 79 of file pcl_base.h.

typedef PointIndices::Ptr pcl::PCLBase< PointInT >::PointIndicesPtr

inherited

Definition at line 78 of file pcl_base.h.

template<typename PointInT, typename PointNT, typename PointOutT>

typedef boost::shared_ptr< FeatureFromNormals<PointInT, PointNT, PointOutT> > pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::Ptr

inherited

Definition at line 332 of file feature.h.

template<typename PointInT, typename PointOutT>

typedef boost::function<int (size_t, double, std::vector<int> &, std::vector<float> &)> pcl::Feature< PointInT, PointOutT >::SearchMethod

inherited

Definition at line 124 of file feature.h.

template<typename PointInT, typename PointOutT>

typedef boost::function<int (const PointCloudIn &cloud, size_t index, double, std::vector<int> &, std::vector<float> &)> pcl::Feature< PointInT, PointOutT >::SearchMethodSurface

inherited

Definition at line 125 of file feature.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

typedef pcl::VFHEstimation<PointInT, PointNT, pcl::VFHSignature308> pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::VFHEstimator

Definition at line 79 of file cvfh.h.

Constructor & Destructor Documentation

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::CVFHEstimation ( )

inline

Empty constructor.

Definition at line 82 of file cvfh.h.

Member Function Documentation

template<typename PointInT , typename PointNT , typename PointOutT >

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::compute ( PointCloudOut & output)

Overloaded computed method from pcl::Feature.

Parameters

[out] output the resultant point cloud model dataset containing the estimated features

Definition at line 49 of file cvfh.hpp.

template<typename PointInT , typename PointOutT >

void pcl::Feature< PointInT, PointOutT >::computeEigen ( pcl::PointCloud< Eigen::MatrixXf > & output)

inherited

Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()

Parameters

[out] output the resultant point cloud model dataset containing the estimated features

Definition at line 224 of file feature.hpp.

template<typename PointInT , typename PointNT , typename PointOutT >

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature	(	const pcl::PointCloud< PointNT > &	cloud,
		std::vector< int > &	indices_to_use,
		std::vector< int > &	indices_out,
		std::vector< int > &	indices_in,
		float	threshold
	)

Removes normals with high curvature caused by real edges or noisy data.

Parameters

[in]	cloud	pointcloud to be filtered
[out]	indices_out	the indices of the points with higher curvature than threshold
[out]	indices_in	the indices of the remaining points after filtering
[in]	threshold	threshold value for curvature

Definition at line 160 of file cvfh.hpp.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::getCentroidClusters ( std::vector< Eigen::Vector3f > & centroids)

inline

Get the centroids used to compute different CVFH descriptors.

Parameters

[out] centroids vector to hold the centroids

Definition at line 149 of file cvfh.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::getCentroidNormalClusters ( std::vector< Eigen::Vector3f > & centroids)

inline

Get the normal centroids used to compute different CVFH descriptors.

Parameters

[out] centroids vector to hold the normal centroids

Definition at line 159 of file cvfh.h.

IndicesPtr const pcl::PCLBase< PointInT >::getIndices ( )

inlineinherited

Get a pointer to the vector of indices used.

Definition at line 190 of file pcl_base.h.

PointCloudConstPtr const pcl::PCLBase< PointInT >::getInputCloud ( )

inlineinherited

Get a pointer to the input point cloud dataset.

Definition at line 107 of file pcl_base.h.

template<typename PointInT, typename PointNT, typename PointOutT>

PointCloudNConstPtr pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::getInputNormals ( ) const

inlineinherited

Get a pointer to the normals of the input XYZ point cloud dataset.

Definition at line 355 of file feature.h.

template<typename PointInT, typename PointOutT>

int pcl::Feature< PointInT, PointOutT >::getKSearch ( ) const

inlineinherited

get the number of k nearest neighbors used for the feature estimation.

Definition at line 186 of file feature.h.

template<typename PointInT, typename PointOutT>

double pcl::Feature< PointInT, PointOutT >::getRadiusSearch ( ) const

inlineinherited

Get the sphere radius used for determining the neighbors.

Definition at line 203 of file feature.h.

template<typename PointInT, typename PointOutT>

KdTreePtr pcl::Feature< PointInT, PointOutT >::getSearchMethod ( ) const

inlineinherited

Get a pointer to the search method used.

Definition at line 166 of file feature.h.

template<typename PointInT, typename PointOutT>

double pcl::Feature< PointInT, PointOutT >::getSearchParameter ( ) const

inlineinherited

Get the internal search parameter.

Definition at line 173 of file feature.h.

template<typename PointInT, typename PointOutT>

PointCloudInConstPtr pcl::Feature< PointInT, PointOutT >::getSearchSurface ( ) const

inlineinherited

Get a pointer to the surface point cloud dataset.

Definition at line 153 of file feature.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::getViewPoint	(	float &	vpx,
		float &	vpy,
		float &	vpz
	)

inline

Get the viewpoint.

Parameters

[out]	vpx	the X coordinate of the viewpoint
[out]	vpy	the Y coordinate of the viewpoint
[out]	vpz	the Z coordinate of the viewpoint

Definition at line 138 of file cvfh.h.

const PointInT & pcl::PCLBase< PointInT >::operator[] ( size_t pos)

inlineinherited

Override PointCloud operator[] to shorten code.

Note: this method can be called instead of (*input_)[(*indices_)[pos]] or input_->points[(*indices_)[pos]]

Parameters

pos	position in indices_ vector

Definition at line 197 of file pcl_base.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::setClusterTolerance ( float d)

inline

Sets max.

Euclidean distance between points to be added to the cluster

Parameters

[in] d the maximum Euclidean distance

Definition at line 170 of file cvfh.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::setCurvatureThreshold ( float d)

inline

Sets curvature threshold for removing normals.

Parameters

[in] d the curvature threshold

Definition at line 188 of file cvfh.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::setEPSAngleThreshold ( float d)

inline

Sets max.

deviation of the normals between two points so they can be clustered together

Parameters

[in] d the maximum deviation

Definition at line 179 of file cvfh.h.

void pcl::PCLBase< PointInT >::setIndices ( const IndicesPtr & indices)

inlineinherited

Provide a pointer to the vector of indices that represents the input data.

Parameters

indices a pointer to the vector of indices that represents the input data.

Definition at line 113 of file pcl_base.h.

void pcl::PCLBase< PointInT >::setIndices ( const IndicesConstPtr & indices)

inlineinherited

Provide a pointer to the vector of indices that represents the input data.

Parameters

indices a pointer to the vector of indices that represents the input data.

Definition at line 124 of file pcl_base.h.

void pcl::PCLBase< PointInT >::setIndices ( const PointIndicesConstPtr & indices)

inlineinherited

Provide a pointer to the vector of indices that represents the input data.

Parameters

indices a pointer to the vector of indices that represents the input data.

Definition at line 135 of file pcl_base.h.

void pcl::PCLBase< PointInT >::setIndices	(	size_t	row_start,
		size_t	col_start,
		size_t	nb_rows,
		size_t	nb_cols
	)

inlineinherited

Set the indices for the points laying within an interest region of the point cloud.

Note: you shouldn't call this method on unorganized point clouds!

Parameters

row_start	the offset on rows
col_start	the offset on columns
nb_rows	the number of rows to be considered row_start included
nb_cols	the number of columns to be considered col_start included

Definition at line 151 of file pcl_base.h.

virtual void pcl::PCLBase< PointInT >::setInputCloud ( const PointCloudConstPtr & cloud)

inlinevirtualinherited

Provide a pointer to the input dataset.

Parameters

cloud the const boost shared pointer to a PointCloud message

Definition at line 103 of file pcl_base.h.

template<typename PointInT, typename PointNT, typename PointOutT>

void pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::setInputNormals ( const PointCloudNConstPtr & normals)

inlineinherited

Provide a pointer to the input dataset that contains the point normals of the XYZ dataset.

In case of search surface is set to be different from the input cloud, normals should correspond to the search surface, not the input cloud!

Parameters

[in] normals the const boost shared pointer to a PointCloud of normals. By convention, L2 norm of each normal should be 1.

Definition at line 351 of file feature.h.

template<typename PointInT, typename PointOutT>

void pcl::Feature< PointInT, PointOutT >::setKSearch ( int k)

inlineinherited

Set the number of k nearest neighbors to use for the feature estimation.

Parameters

[in] k the number of k-nearest neighbors

Definition at line 182 of file feature.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::setMinPoints ( size_t min)

inline

Set minimum amount of points for a cluster to be considered.

Parameters

[in] min the minimum amount of points to be set

Definition at line 197 of file cvfh.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::setNormalizeBins ( bool normalize)

inline

Sets wether if the CVFH signatures should be normalized or not.

Parameters

[in] normalize true if normalization is required, false otherwise

Definition at line 206 of file cvfh.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::setRadiusNormals ( float radius_normals)

inline

Set the radius used to compute normals.

Parameters

[in] radius_normals the radius

Definition at line 127 of file cvfh.h.

template<typename PointInT, typename PointOutT>

void pcl::Feature< PointInT, PointOutT >::setRadiusSearch ( double radius)

inlineinherited

Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation.

Parameters

[in] radius the sphere radius used as the maximum distance to consider a point a neighbor

Definition at line 196 of file feature.h.

template<typename PointInT, typename PointOutT>

void pcl::Feature< PointInT, PointOutT >::setSearchMethod ( const KdTreePtr & tree)

inlineinherited

Provide a pointer to the search object.

Parameters

[in] tree a pointer to the spatial search object.

Definition at line 162 of file feature.h.

template<typename PointInT, typename PointOutT>

void pcl::Feature< PointInT, PointOutT >::setSearchSurface ( const PointCloudInConstPtr & cloud)

inlineinherited

Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset.

This is optional, if this is not set, it will only use the data in the input cloud to estimate the features. This is useful when you only need to compute the features for a downsampled cloud.

Parameters

[in] cloud a pointer to a PointCloud message

Definition at line 144 of file feature.h.

template<typename PointInT , typename PointNT , typename PointOutT = pcl::VFHSignature308>

void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::setViewPoint	(	float	vpx,
		float	vpy,
		float	vpz
	)

inline

Set the viewpoint.

Parameters

[in]	vpx	the X coordinate of the viewpoint
[in]	vpy	the Y coordinate of the viewpoint
[in]	vpz	the Z coordinate of the viewpoint

Definition at line 116 of file cvfh.h.

The documentation for this class was generated from the following files:

/builddir/build/BUILD/PCL-1.6.0-Source/features/include/pcl/features/cvfh.h
/builddir/build/BUILD/PCL-1.6.0-Source/features/include/pcl/features/impl/cvfh.hpp

Public Types

Public Member Functions

Detailed Description

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308> class pcl::CVFHEstimation< PointInT, PointNT, PointOutT >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
class pcl::CVFHEstimation< PointInT, PointNT, PointOutT >