Point Cloud Library (PCL)  1.6.0
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pcl::SHOTColorEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT > Class Template Reference

#include <pcl/features/shot.h>

Inheritance diagram for pcl::SHOTColorEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT >:
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Collaboration diagram for pcl::SHOTColorEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT >:
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List of all members.

Public Types

typedef Feature< PointInT,
pcl::SHOT1344 >::PointCloudIn 
PointCloudIn
typedef pcl::PointCloud< PointNT > PointCloudN
typedef PointCloudN::Ptr PointCloudNPtr
typedef PointCloudN::ConstPtr PointCloudNConstPtr
typedef boost::shared_ptr
< FeatureFromNormals< PointInT,
PointNT, pcl::SHOT1344 > > 
Ptr
typedef boost::shared_ptr
< const FeatureFromNormals
< PointInT, PointNT,
pcl::SHOT1344 > > 
ConstPtr
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
typedef pcl::PointCloud< PointRFT > PointCloudLRF
typedef PointCloudLRF::Ptr PointCloudLRFPtr
typedef PointCloudLRF::ConstPtr PointCloudLRFConstPtr

Public Member Functions

 SHOTColorEstimation (bool describe_shape=true, bool describe_color=true, int nr_shape_bins=10, int nr_color_bins=30)
 Empty constructor.
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 ()
virtual void computePointSHOT (const int index, const std::vector< int > &indices, const std::vector< float > &sqr_dists, Eigen::VectorXf &shot)
 Estimate the SHOT descriptor for a given point based on its spatial neighborhood of 3D points with normals.
void setInputNormals (const PointCloudNConstPtr &normals)
 Provide a pointer to the input dataset that contains the point normals of the XYZ dataset.
PointCloudNConstPtr getInputNormals () const
 Get a pointer to the normals of the input XYZ point cloud dataset.
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.
PointCloudInConstPtr getSearchSurface () const
 Get a pointer to the surface point cloud dataset.
void setSearchMethod (const KdTreePtr &tree)
 Provide a pointer to the search object.
KdTreePtr getSearchMethod () const
 Get a pointer to the search method used.
double getSearchParameter () const
 Get the internal search parameter.
void setKSearch (int k)
 Set the number of k nearest neighbors to use for the feature estimation.
int getKSearch () const
 get the number of k nearest neighbors used for the feature estimation.
void setRadiusSearch (double radius)
 Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation.
double getRadiusSearch () const
 Get the sphere radius used for determining the neighbors.
void compute (PointCloudOut &output)
 Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()
virtual void setInputCloud (const PointCloudConstPtr &cloud)
 Provide a pointer to the input dataset.
PointCloudConstPtr const getInputCloud ()
 Get a pointer to the input point cloud dataset.
void setIndices (const IndicesPtr &indices)
 Provide a pointer to the vector of indices that represents the input data.
void setIndices (const IndicesConstPtr &indices)
 Provide a pointer to the vector of indices that represents the input data.
void setIndices (const PointIndicesConstPtr &indices)
 Provide a pointer to the vector of indices that represents the input data.
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.
IndicesPtr const getIndices ()
 Get a pointer to the vector of indices used.
const PointInT & operator[] (size_t pos)
 Override PointCloud operator[] to shorten code.
void setInputReferenceFrames (const PointCloudLRFConstPtr &frames)
 Provide a pointer to the input dataset that contains the local reference frames of the XYZ dataset.
PointCloudLRFConstPtr getInputReferenceFrames () const
 Get a pointer to the local reference frames.

Static Public Member Functions

static void RGB2CIELAB (unsigned char R, unsigned char G, unsigned char B, float &L, float &A, float &B2)
 Converts RGB triplets to CIELab space.

Static Public Attributes

static float sRGB_LUT [256]
static float sXYZ_LUT [4000]

Detailed Description

template<typename PointInT, typename PointNT, typename PointRFT>
class pcl::SHOTColorEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT >

Definition at line 618 of file shot.h.


Member Typedef Documentation

typedef PCLBase<PointInT> pcl::Feature< PointInT, pcl::SHOT1344 >::BaseClass [inherited]

Definition at line 110 of file feature.h.

typedef boost::shared_ptr< const FeatureFromNormals<PointInT, PointNT, pcl::SHOT1344 > > pcl::FeatureFromNormals< PointInT, PointNT, pcl::SHOT1344 >::ConstPtr [inherited]

Reimplemented from pcl::Feature< PointInT, pcl::SHOT1344 >.

Definition at line 333 of file feature.h.

typedef pcl::search::Search<PointInT> pcl::Feature< PointInT, pcl::SHOT1344 >::KdTree [inherited]

Definition at line 115 of file feature.h.

typedef pcl::search::Search<PointInT>::Ptr pcl::Feature< PointInT, pcl::SHOT1344 >::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]
typedef Feature<PointInT, pcl::SHOT1344 >::PointCloudIn pcl::SHOTColorEstimation< PointInT, PointNT, pcl::SHOT1344 , PointRFT >::PointCloudIn [inherited]

Reimplemented from pcl::SHOTEstimationBase< PointInT, PointNT, pcl::SHOT1344, PointRFT >.

Definition at line 536 of file shot.h.

template<typename PointInT , typename PointRFT >
typedef pcl::PointCloud<PointRFT> pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT >::PointCloudLRF [inherited]

Definition at line 454 of file feature.h.

template<typename PointInT , typename PointRFT >
typedef PointCloudLRF::ConstPtr pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT >::PointCloudLRFConstPtr [inherited]

Definition at line 456 of file feature.h.

template<typename PointInT , typename PointRFT >
typedef PointCloudLRF::Ptr pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT >::PointCloudLRFPtr [inherited]

Definition at line 455 of file feature.h.

typedef pcl::PointCloud<PointNT> pcl::FeatureFromNormals< PointInT, PointNT, pcl::SHOT1344 >::PointCloudN [inherited]

Definition at line 328 of file feature.h.

Definition at line 330 of file feature.h.

typedef PointCloudN::Ptr pcl::FeatureFromNormals< PointInT, PointNT, pcl::SHOT1344 >::PointCloudNPtr [inherited]

Definition at line 329 of file feature.h.

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

Reimplemented in pcl::OrganizedFastMesh< PointInT >.

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.

typedef boost::shared_ptr< FeatureFromNormals<PointInT, PointNT, pcl::SHOT1344 > > pcl::FeatureFromNormals< PointInT, PointNT, pcl::SHOT1344 >::Ptr [inherited]

Reimplemented from pcl::Feature< PointInT, pcl::SHOT1344 >.

Definition at line 332 of file feature.h.

typedef boost::function<int (size_t, double, std::vector<int> &, std::vector<float> &)> pcl::Feature< PointInT, pcl::SHOT1344 >::SearchMethod [inherited]

Definition at line 124 of file feature.h.

typedef boost::function<int (const PointCloudIn &cloud, size_t index, double, std::vector<int> &, std::vector<float> &)> pcl::Feature< PointInT, pcl::SHOT1344 >::SearchMethodSurface [inherited]

Definition at line 125 of file feature.h.


Constructor & Destructor Documentation

template<typename PointInT , typename PointNT , typename PointRFT >
pcl::SHOTColorEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT >::SHOTColorEstimation ( bool  describe_shape = true,
bool  describe_color = true,
int  nr_shape_bins = 10,
int  nr_color_bins = 30 
) [inline]

Empty constructor.

Parameters:
[in]describe_shape
[in]describe_color

Definition at line 649 of file shot.h.


Member Function Documentation

void pcl::Feature< PointInT, pcl::SHOT1344 >::compute ( PointCloudOut 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
template<typename PointInT , typename PointNT , typename PointRFT >
void pcl::SHOTColorEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT >::computeEigen ( pcl::PointCloud< Eigen::MatrixXf > &  output) [inline]

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

Reimplemented from pcl::Feature< PointInT, pcl::SHOT1344 >.

Definition at line 666 of file shot.h.

virtual void pcl::SHOTColorEstimation< PointInT, PointNT, pcl::SHOT1344 , PointRFT >::computePointSHOT ( const int  index,
const std::vector< int > &  indices,
const std::vector< float > &  sqr_dists,
Eigen::VectorXf &  shot 
) [virtual, inherited]

Estimate the SHOT descriptor for a given point based on its spatial neighborhood of 3D points with normals.

Parameters:
[in]indexthe index of the point in indices_
[in]indicesthe k-neighborhood point indices in surface_
[in]sqr_diststhe k-neighborhood point distances in surface_
[out]shotthe resultant SHOT descriptor representing the feature at the query point

Implements pcl::SHOTEstimationBase< PointInT, PointNT, pcl::SHOT1344, PointRFT >.

IndicesPtr const pcl::PCLBase< PointInT >::getIndices ( ) [inline, inherited]

Get a pointer to the vector of indices used.

Definition at line 190 of file pcl_base.h.

PointCloudConstPtr const pcl::PCLBase< PointInT >::getInputCloud ( ) [inline, inherited]

Get a pointer to the input point cloud dataset.

Definition at line 107 of file pcl_base.h.

PointCloudNConstPtr pcl::FeatureFromNormals< PointInT, PointNT, pcl::SHOT1344 >::getInputNormals ( ) const [inline, inherited]

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 PointRFT >
PointCloudLRFConstPtr pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT >::getInputReferenceFrames ( ) const [inline, inherited]

Get a pointer to the local reference frames.

Definition at line 479 of file feature.h.

int pcl::Feature< PointInT, pcl::SHOT1344 >::getKSearch ( ) const [inline, inherited]

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

Definition at line 186 of file feature.h.

double pcl::Feature< PointInT, pcl::SHOT1344 >::getRadiusSearch ( ) const [inline, inherited]

Get the sphere radius used for determining the neighbors.

Definition at line 203 of file feature.h.

KdTreePtr pcl::Feature< PointInT, pcl::SHOT1344 >::getSearchMethod ( ) const [inline, inherited]

Get a pointer to the search method used.

Definition at line 166 of file feature.h.

double pcl::Feature< PointInT, pcl::SHOT1344 >::getSearchParameter ( ) const [inline, inherited]

Get the internal search parameter.

Definition at line 173 of file feature.h.

PointCloudInConstPtr pcl::Feature< PointInT, pcl::SHOT1344 >::getSearchSurface ( ) const [inline, inherited]

Get a pointer to the surface point cloud dataset.

Definition at line 153 of file feature.h.

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

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.

static void pcl::SHOTColorEstimation< PointInT, PointNT, pcl::SHOT1344 , PointRFT >::RGB2CIELAB ( unsigned char  R,
unsigned char  G,
unsigned char  B,
float &  L,
float &  A,
float &  B2 
) [static, inherited]

Converts RGB triplets to CIELab space.

Parameters:
[in]Rthe red channel
[in]Gthe green channel
[in]Bthe blue channel
[out]Lthe lightness
[out]Athe first color-opponent dimension
[out]B2the second color-opponent dimension
void pcl::PCLBase< PointInT >::setIndices ( const IndicesPtr indices) [inline, inherited]

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) [inline, inherited]

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) [inline, inherited]

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 
) [inline, inherited]

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) [inline, virtual, inherited]

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.

void pcl::FeatureFromNormals< PointInT, PointNT, pcl::SHOT1344 >::setInputNormals ( const PointCloudNConstPtr normals) [inline, inherited]

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 PointRFT >
void pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT >::setInputReferenceFrames ( const PointCloudLRFConstPtr frames) [inline, inherited]

Provide a pointer to the input dataset that contains the local reference frames of the XYZ dataset.

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

Parameters:
[in]framesthe const boost shared pointer to a PointCloud of reference frames.

Definition at line 471 of file feature.h.

void pcl::Feature< PointInT, pcl::SHOT1344 >::setKSearch ( int  k) [inline, inherited]

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.

void pcl::Feature< PointInT, pcl::SHOT1344 >::setRadiusSearch ( double  radius) [inline, inherited]

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.

void pcl::Feature< PointInT, pcl::SHOT1344 >::setSearchMethod ( const KdTreePtr tree) [inline, inherited]

Provide a pointer to the search object.

Parameters:
[in]treea pointer to the spatial search object.

Definition at line 162 of file feature.h.

void pcl::Feature< PointInT, pcl::SHOT1344 >::setSearchSurface ( const PointCloudInConstPtr cloud) [inline, inherited]

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.


Member Data Documentation

float pcl::SHOTColorEstimation< PointInT, PointNT, pcl::SHOT1344 , PointRFT >::sRGB_LUT[256] [static, inherited]

Definition at line 613 of file shot.h.

float pcl::SHOTColorEstimation< PointInT, PointNT, pcl::SHOT1344 , PointRFT >::sXYZ_LUT[4000] [static, inherited]

Definition at line 614 of file shot.h.


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