BoundaryEstimation estimates whether a set of points is lying on surface boundaries using an angle criterion. More...

#include <pcl/features/boundary.h>

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

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

Public Types
typedef Feature< PointInT, PointOutT >::PointCloudOut	PointCloudOut
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 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
	BoundaryEstimation ()
	Empty constructor.
bool	isBoundaryPoint (const pcl::PointCloud< PointInT > &cloud, int q_idx, const std::vector< int > &indices, const Eigen::Vector4f &u, const Eigen::Vector4f &v, const float angle_threshold)
	Check whether a point is a boundary point in a planar patch of projected points given by indices.
bool	isBoundaryPoint (const pcl::PointCloud< PointInT > &cloud, const PointInT &q_point, const std::vector< int > &indices, const Eigen::Vector4f &u, const Eigen::Vector4f &v, const float angle_threshold)
	Check whether a point is a boundary point in a planar patch of projected points given by indices.
void	setAngleThreshold (float angle)
	Set the decision boundary (angle threshold) that marks points as boundary or regular.
float	getAngleThreshold ()
	Get the decision boundary (angle threshold) as set by the user.
void	getCoordinateSystemOnPlane (const PointNT &p_coeff, Eigen::Vector4f &u, Eigen::Vector4f &v)
	Get a u-v-n coordinate system that lies on a plane defined by its normal.
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 ()
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	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.

Detailed Description

template<typename PointInT, typename PointNT, typename PointOutT>
class pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >

BoundaryEstimation estimates whether a set of points is lying on surface boundaries using an angle criterion.

The code makes use of the estimated surface normals at each point in the input dataset.

Here's an example for estimating boundary points for a PointXYZ point cloud:

 pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>);
 // fill in the cloud data here
 
 pcl::PointCloud<pcl::Normal>::Ptr normals (new pcl::PointCloud<pcl::Normal>);
 // estimate normals and fill in \a normals

 pcl::PointCloud<pcl::Boundary> boundaries;
 pcl::BoundaryEstimation<pcl::PointXYZ, pcl::Normal, pcl::Boundary> est;
 est.setInputCloud (cloud);
 est.setInputNormals (normals);
 est.setRadiusSearch (0.02);   // 2cm radius
 est.setSearchMethod (typename pcl::search::KdTree<PointXYZ>::Ptr (new pcl::search::KdTree<PointXYZ>)
 est.compute (boundaries);

Attention:

The convention for Boundary features is:

if a query point's nearest neighbors cannot be estimated, the boundary feature will be set to NaN (not a number)
it is impossible to estimate a boundary property for a point that doesn't have finite 3D coordinates. Therefore, any point that contains NaN data on x, y, or z, will have its boundary feature property set to NaN.

Author:: Radu B. Rusu

Definition at line 80 of file boundary.h.

Member Typedef Documentation

template<typename PointInT, typename PointOutT>

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

Reimplemented in pcl::RangeImageBorderExtractor, and pcl::NarfDescriptor.

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]

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

Reimplemented in pcl::RSDEstimation< PointInT, PointNT, PointOutT >, pcl::VFHEstimation< PointInT, PointNT, PointOutT >, and pcl::NormalBasedSignatureEstimation< PointT, PointNT, PointFeature >.

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 PointOutT>

typedef pcl::search::Search<PointInT>::Ptr pcl::Feature< PointInT, PointOutT >::KdTreePtr [inherited]

Reimplemented in pcl::CVFHEstimation< PointInT, PointNT, PointOutT >.

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]

Reimplemented in pcl::NormalEstimation< PointInT, PointOutT >, and pcl::NormalEstimation< PointInT, pcl::Normal >.

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>

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

Reimplemented from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >.

Definition at line 94 of file boundary.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.

template<typename PointInT, typename PointNT, typename PointOutT>

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

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

Reimplemented in pcl::RSDEstimation< PointInT, PointNT, PointOutT >, pcl::VFHEstimation< PointInT, PointNT, PointOutT >, and pcl::NormalBasedSignatureEstimation< PointT, PointNT, PointFeature >.

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.

Constructor & Destructor Documentation

template<typename PointInT, typename PointNT, typename PointOutT>

pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::BoundaryEstimation ( ) [inline]

Empty constructor.

The angular threshold angle_threshold_ is set to M_PI / 2.0

Definition at line 100 of file boundary.h.

Member Function Documentation

template<typename PointInT , typename PointOutT >

void pcl::Feature< PointInT, PointOutT >::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] output the resultant point cloud model dataset containing the estimated features

Reimplemented in pcl::CVFHEstimation< PointInT, PointNT, PointOutT >, pcl::VFHEstimation< PointInT, PointNT, PointOutT >, pcl::RangeImageBorderExtractor, pcl::ESFEstimation< PointInT, PointOutT >, and pcl::NarfDescriptor.

Definition at line 188 of file feature.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

Reimplemented in pcl::SHOTColorEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT >, and pcl::SHOTEstimation< PointInT, PointNT, Eigen::MatrixXf, PointRFT >.

Definition at line 224 of file feature.hpp.

template<typename PointInT, typename PointNT, typename PointOutT>

float pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::getAngleThreshold ( ) [inline]

Get the decision boundary (angle threshold) as set by the user.

Definition at line 146 of file boundary.h.

template<typename PointInT, typename PointNT, typename PointOutT>

void pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::getCoordinateSystemOnPlane	(	const PointNT &	p_coeff,
		Eigen::Vector4f &	u,
		Eigen::Vector4f &	v
	)		`[inline]`

Get a u-v-n coordinate system that lies on a plane defined by its normal.

Parameters:

[in]	p_coeff	the plane coefficients (containing the plane normal)
[out]	u	the resultant u direction
[out]	v	the resultant v direction

Definition at line 157 of file boundary.h.

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.

template<typename PointInT, typename PointNT, typename PointOutT>

PointCloudNConstPtr pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >::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 PointOutT>

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

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 [inline, inherited]

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 [inline, inherited]

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 [inline, inherited]

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 [inline, inherited]

Get a pointer to the surface point cloud dataset.

Definition at line 153 of file feature.h.

template<typename PointInT, typename PointNT , typename PointOutT >

bool pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::isBoundaryPoint	(	const pcl::PointCloud< PointInT > &	cloud,
		int	q_idx,
		const std::vector< int > &	indices,
		const Eigen::Vector4f &	u,
		const Eigen::Vector4f &	v,
		const float	angle_threshold
	)

Check whether a point is a boundary point in a planar patch of projected points given by indices.

Note:: A coordinate system u-v-n must be computed a-priori using getCoordinateSystemOnPlane

Parameters:

[in]	cloud	a pointer to the input point cloud
[in]	q_idx	the index of the query point in cloud
[in]	indices	the estimated point neighbors of the query point
[in]	u	the u direction
[in]	v	the v direction
[in]	angle_threshold	the threshold angle (default $\pi / 2.0$ )

Definition at line 48 of file boundary.hpp.

template<typename PointInT, typename PointNT , typename PointOutT >

bool pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::isBoundaryPoint	(	const pcl::PointCloud< PointInT > &	cloud,
		const PointInT &	q_point,
		const std::vector< int > &	indices,
		const Eigen::Vector4f &	u,
		const Eigen::Vector4f &	v,
		const float	angle_threshold
	)

Check whether a point is a boundary point in a planar patch of projected points given by indices.

Note:: A coordinate system u-v-n must be computed a-priori using getCoordinateSystemOnPlane

Parameters:

[in]	cloud	a pointer to the input point cloud
[in]	q_point	a pointer to the querry point
[in]	indices	the estimated point neighbors of the query point
[in]	u	the u direction
[in]	v	the v direction
[in]	angle_threshold	the threshold angle (default $\pi / 2.0$ )

Definition at line 59 of file boundary.hpp.

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:

pos	position in indices_ vector

Definition at line 197 of file pcl_base.h.

template<typename PointInT, typename PointNT, typename PointOutT>

void pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::setAngleThreshold ( float angle ) [inline]

Set the decision boundary (angle threshold) that marks points as boundary or regular.

(default $\pi / 2.0$ )

Parameters:

[in] angle the angle threshold

Definition at line 139 of file boundary.h.

void pcl::PCLBase< PointInT >::setIndices ( const IndicesPtr & indices ) [inline, inherited]

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 ) [inline, inherited]

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 ) [inline, inherited]

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
	)		`[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_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 ) [inline, virtual, inherited]

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 ) [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] 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 ) [inline, inherited]

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

Parameters:

[in] k the number of k-nearest neighbors

Reimplemented in pcl::RSDEstimation< PointInT, PointNT, PointOutT >.

Definition at line 182 of file feature.h.

template<typename PointInT, typename PointOutT>

void pcl::Feature< PointInT, PointOutT >::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] 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 ) [inline, inherited]

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 ) [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] cloud a pointer to a PointCloud message

Definition at line 144 of file feature.h.

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

/usr/src/RPM/BUILD/PCL-1.6.0-Source/features/include/pcl/features/boundary.h
/usr/src/RPM/BUILD/PCL-1.6.0-Source/features/include/pcl/features/impl/boundary.hpp

Public Types

Public Member Functions

Detailed Description

template<typename PointInT, typename PointNT, typename PointOutT> class pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

template<typename PointInT, typename PointNT, typename PointOutT>
class pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >