Point Cloud Library (PCL)  1.6.0
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pcl::VFHEstimation< PointInT, PointNT, PointOutT > Class Template Reference

VFHEstimation estimates the Viewpoint Feature Histogram (VFH) descriptor for a given point cloud dataset containing points and normals. More...

#include <pcl/features/vfh.h>

Inheritance diagram for pcl::VFHEstimation< PointInT, PointNT, PointOutT >:
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Collaboration diagram for pcl::VFHEstimation< PointInT, PointNT, PointOutT >:
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Public Types

typedef Feature< PointInT,
PointOutT >::PointCloudOut 
PointCloudOut
 
typedef boost::shared_ptr
< VFHEstimation< PointInT,
PointNT, PointOutT > > 
Ptr
 
typedef boost::shared_ptr
< const VFHEstimation
< PointInT, PointNT, PointOutT > > 
ConstPtr
 
typedef pcl::PointCloud< PointNT > PointCloudN
 
typedef PointCloudN::Ptr PointCloudNPtr
 
typedef PointCloudN::ConstPtr PointCloudNConstPtr
 
typedef PCLBase< PointInT > BaseClass
 
typedef pcl::search::Search
< PointInT > 
KdTree
 
typedef pcl::search::Search
< PointInT >::Ptr 
KdTreePtr
 
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

 VFHEstimation ()
 Empty constructor. More...
 
void computePointSPFHSignature (const Eigen::Vector4f &centroid_p, const Eigen::Vector4f &centroid_n, const pcl::PointCloud< PointInT > &cloud, const pcl::PointCloud< PointNT > &normals, const std::vector< int > &indices)
 Estimate the SPFH (Simple Point Feature Histograms) signatures of the angular (f1, f2, f3) and distance (f4) features for a given point from its neighborhood. More...
 
void setViewPoint (float vpx, float vpy, float vpz)
 Set the viewpoint. More...
 
void getViewPoint (float &vpx, float &vpy, float &vpz)
 Get the viewpoint. More...
 
void setUseGivenNormal (bool use)
 Set use_given_normal_. More...
 
void setNormalToUse (const Eigen::Vector3f &normal)
 Set the normal to use. More...
 
void setUseGivenCentroid (bool use)
 Set use_given_centroid_. More...
 
void setCentroidToUse (const Eigen::Vector3f &centroid)
 Set centroid_to_use_. More...
 
void setNormalizeBins (bool normalize)
 set normalize_bins_ More...
 
void setNormalizeDistance (bool normalize)
 set normalize_distances_ More...
 
void setFillSizeComponent (bool fill_size)
 set size_component_ 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::VFHEstimation< PointInT, PointNT, PointOutT >

VFHEstimation estimates the Viewpoint Feature Histogram (VFH) descriptor for a given point cloud dataset containing points and normals.

The default VFH implementation uses 45 binning subdivisions for each of the three extended FPFH values, plus another 45 binning subdivisions for the distances between each point and the centroid and 128 binning subdivisions for the viewpoint component, which results in a 308-byte array of float values. These are stored in a pcl::VFHSignature308 point type. A major difference between the PFH/FPFH descriptors and VFH, is that for a given point cloud dataset, only a single VFH descriptor will be estimated (vfhs->points.size() should be 1), while the resultant PFH/FPFH data will have the same number of entries as the number of points in the cloud.

Note
If you use this code in any academic work, please cite:
Note
The code is stateful as we do not expect this class to be multicore parallelized. Please look at FPFHEstimationOMP for an example of a parallel implementation of the FPFH (Fast Point Feature Histogram).
Author
Radu B. Rusu

Definition at line 71 of file vfh.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 = pcl::VFHSignature308>
typedef boost::shared_ptr<const VFHEstimation<PointInT, PointNT, PointOutT> > pcl::VFHEstimation< PointInT, PointNT, PointOutT >::ConstPtr

Definition at line 85 of file vfh.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 PointOutT>
typedef pcl::search::Search<PointInT>::Ptr pcl::Feature< PointInT, PointOutT >::KdTreePtr
inherited

Definition at line 116 of file feature.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::VFHEstimation< PointInT, PointNT, PointOutT >::PointCloudOut

Definition at line 83 of file vfh.h.

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

Definition at line 75 of file pcl_base.h.

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 = pcl::VFHSignature308>
typedef boost::shared_ptr<VFHEstimation<PointInT, PointNT, PointOutT> > pcl::VFHEstimation< PointInT, PointNT, PointOutT >::Ptr

Definition at line 84 of file vfh.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.

Constructor & Destructor Documentation

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
pcl::VFHEstimation< PointInT, PointNT, PointOutT >::VFHEstimation ( )
inline

Empty constructor.

Definition at line 89 of file vfh.h.

Member Function Documentation

template<typename PointInT , typename PointNT , typename PointOutT >
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute ( PointCloudOut output)

Overloaded computed method from pcl::Feature.

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

Definition at line 64 of file vfh.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]outputthe 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::VFHEstimation< PointInT, PointNT, PointOutT >::computePointSPFHSignature ( const Eigen::Vector4f &  centroid_p,
const Eigen::Vector4f &  centroid_n,
const pcl::PointCloud< PointInT > &  cloud,
const pcl::PointCloud< PointNT > &  normals,
const std::vector< int > &  indices 
)

Estimate the SPFH (Simple Point Feature Histograms) signatures of the angular (f1, f2, f3) and distance (f4) features for a given point from its neighborhood.

Parameters
[in]centroid_pthe centroid point
[in]centroid_nthe centroid normal
[in]cloudthe dataset containing the XYZ Cartesian coordinates of the two points
[in]normalsthe dataset containing the surface normals at each point in cloud
[in]indicesthe k-neighborhood point indices in the dataset

Definition at line 91 of file vfh.hpp.

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::VFHEstimation< PointInT, PointNT, PointOutT >::getViewPoint ( float &  vpx,
float &  vpy,
float &  vpz 
)
inline

Get the viewpoint.

Definition at line 134 of file vfh.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
posposition in indices_ vector

Definition at line 197 of file pcl_base.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setCentroidToUse ( const Eigen::Vector3f &  centroid)
inline

Set centroid_to_use_.

Parameters
[in]centroidCentroid to be used in the VFH computation. It is used to compute the distances from all points to this centroid.

Definition at line 174 of file vfh.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setFillSizeComponent ( bool  fill_size)
inline

set size_component_

Parameters
[in]fill_sizeTrue if the 4th component of VFH (shape distribution component) needs to be filled. Otherwise, it is set to zero.

Definition at line 203 of file vfh.h.

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

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

Parameters
indicesa 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
indicesa 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
indicesa 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_startthe offset on rows
col_startthe offset on columns
nb_rowsthe number of rows to be considered row_start included
nb_colsthe 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
cloudthe 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]normalsthe 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]kthe number of k-nearest neighbors

Definition at line 182 of file feature.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setNormalizeBins ( bool  normalize)
inline

set normalize_bins_

Parameters
[in]normalizeIf true, the VFH bins are normalized using the total number of points

Definition at line 183 of file vfh.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setNormalizeDistance ( bool  normalize)
inline

set normalize_distances_

Parameters
[in]normalizeIf true, the 4th component of VFH (shape distribution component) get normalized by the maximum size between the centroid and the point cloud

Definition at line 193 of file vfh.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setNormalToUse ( const Eigen::Vector3f &  normal)
inline

Set the normal to use.

Parameters
[in]normalSets the normal to be used in the VFH computation. It is is used to build the Darboux Coordinate system.

Definition at line 155 of file vfh.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]radiusthe 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]treea 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]clouda pointer to a PointCloud message

Definition at line 144 of file feature.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setUseGivenCentroid ( bool  use)
inline

Set use_given_centroid_.

Parameters
[in]useSet to true if you want to use the centroid passed through setCentroidToUse(centroid)

Definition at line 164 of file vfh.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setUseGivenNormal ( bool  use)
inline

Set use_given_normal_.

Parameters
[in]useSet to true if you want to use the normal passed to setNormalUse(normal)

Definition at line 145 of file vfh.h.

template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308>
void pcl::VFHEstimation< PointInT, PointNT, PointOutT >::setViewPoint ( float  vpx,
float  vpy,
float  vpz 
)
inline

Set the viewpoint.

Parameters
[in]vpxthe X coordinate of the viewpoint
[in]vpythe Y coordinate of the viewpoint
[in]vpzthe Z coordinate of the viewpoint

Definition at line 125 of file vfh.h.


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