PointCloudLibrary

SampleConsensusModelLine defines a model for 3D line segmentation. More...

#include <pcl/sample_consensus/sac_model_line.h>

Public Types
using	PointCloud = typename SampleConsensusModel< PointT >::PointCloud

using	PointCloudPtr = typename SampleConsensusModel< PointT >::PointCloudPtr

using	PointCloudConstPtr = typename SampleConsensusModel< PointT >::PointCloudConstPtr

using	Ptr = shared_ptr< SampleConsensusModelLine< PointT > >

using	ConstPtr = shared_ptr< const SampleConsensusModelLine< PointT > >

Public Types inherited from pcl::SampleConsensusModel< PointT >
using	PointCloud = pcl::PointCloud< PointT >

using	PointCloudConstPtr = typename PointCloud::ConstPtr

using	PointCloudPtr = typename PointCloud::Ptr

using	SearchPtr = typename pcl::search::Search< PointT >::Ptr

using	Ptr = shared_ptr< SampleConsensusModel< PointT > >

using	ConstPtr = shared_ptr< const SampleConsensusModel< PointT > >

Public Member Functions
	SampleConsensusModelLine (const PointCloudConstPtr &cloud, bool random=false)
	Constructor for base SampleConsensusModelLine. More...

	SampleConsensusModelLine (const PointCloudConstPtr &cloud, const Indices &indices, bool random=false)
	Constructor for base SampleConsensusModelLine. More...

	~SampleConsensusModelLine ()
	Empty destructor. More...

bool	computeModelCoefficients (const Indices &samples, Eigen::VectorXf &model_coefficients) const override
	Check whether the given index samples can form a valid line model, compute the model coefficients from these samples and store them internally in model_coefficients_. More...

void	getDistancesToModel (const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const override
	Compute all squared distances from the cloud data to a given line model. More...

void	selectWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold, Indices &inliers) override
	Select all the points which respect the given model coefficients as inliers. More...

std::size_t	countWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold) const override
	Count all the points which respect the given model coefficients as inliers. More...

void	optimizeModelCoefficients (const Indices &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) const override
	Recompute the line coefficients using the given inlier set and return them to the user. More...

void	projectPoints (const Indices &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) const override
	Create a new point cloud with inliers projected onto the line model. More...

bool	doSamplesVerifyModel (const std::set< index_t > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) const override
	Verify whether a subset of indices verifies the given line model coefficients. More...

pcl::SacModel	getModelType () const override
	Return a unique id for this model (SACMODEL_LINE). More...

Public Member Functions inherited from pcl::SampleConsensusModel< PointT >
	SampleConsensusModel (const PointCloudConstPtr &cloud, bool random=false)
	Constructor for base SampleConsensusModel. More...

	SampleConsensusModel (const PointCloudConstPtr &cloud, const Indices &indices, bool random=false)
	Constructor for base SampleConsensusModel. More...

virtual	~SampleConsensusModel ()
	Destructor for base SampleConsensusModel. More...

virtual void	getSamples (int &iterations, Indices &samples)
	Get a set of random data samples and return them as point indices. More...

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

PointCloudConstPtr	getInputCloud () const
	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 Indices &indices)
	Provide the vector of indices that represents the input data. More...

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

const std::string &	getClassName () const
	Get a string representation of the name of this class. More...

unsigned int	getSampleSize () const
	Return the size of a sample from which the model is computed. More...

unsigned int	getModelSize () const
	Return the number of coefficients in the model. More...

void	setRadiusLimits (const double &min_radius, const double &max_radius)
	Set the minimum and maximum allowable radius limits for the model (applicable to models that estimate a radius) More...

void	getRadiusLimits (double &min_radius, double &max_radius) const
	Get the minimum and maximum allowable radius limits for the model as set by the user. More...

void	setModelConstraints (std::function< bool(const Eigen::VectorXf &)> function)
	This can be used to impose any kind of constraint on the model, e.g. More...

void	setSamplesMaxDist (const double &radius, SearchPtr search)
	Set the maximum distance allowed when drawing random samples. More...

void	getSamplesMaxDist (double &radius) const
	Get maximum distance allowed when drawing random samples. More...

double	computeVariance (const std::vector< double > &error_sqr_dists) const
	Compute the variance of the errors to the model. More...

double	computeVariance () const
	Compute the variance of the errors to the model from the internally estimated vector of distances. More...

Protected Member Functions
bool	isSampleGood (const Indices &samples) const override
	Check if a sample of indices results in a good sample of points indices. More...

Protected Member Functions inherited from pcl::SampleConsensusModel< PointT >
	SampleConsensusModel (bool random=false)
	Empty constructor for base SampleConsensusModel. More...

void	drawIndexSample (Indices &sample)
	Fills a sample array with random samples from the indices_ vector. More...

void	drawIndexSampleRadius (Indices &sample)
	Fills a sample array with one random sample from the indices_ vector and other random samples that are closer than samples_radius_. More...

virtual bool	isModelValid (const Eigen::VectorXf &model_coefficients) const
	Check whether a model is valid given the user constraints. More...

int	rnd ()
	Boost-based random number generator. More...

Additional Inherited Members
Protected Attributes inherited from pcl::SampleConsensusModel< PointT >
std::string	model_name_
	The model name. More...

PointCloudConstPtr	input_
	A boost shared pointer to the point cloud data array. More...

IndicesPtr	indices_
	A pointer to the vector of point indices to use. More...

double	radius_min_
	The minimum and maximum radius limits for the model. More...

double	radius_max_

double	samples_radius_
	The maximum distance of subsequent samples from the first (radius search) More...

SearchPtr	samples_radius_search_
	The search object for picking subsequent samples using radius search. More...

Indices	shuffled_indices_
	Data containing a shuffled version of the indices. More...

boost::mt19937	rng_alg_
	Boost-based random number generator algorithm. More...

std::shared_ptr< boost::uniform_int<> >	rng_dist_
	Boost-based random number generator distribution. More...

std::shared_ptr< boost::variate_generator< boost::mt19937 &, boost::uniform_int<> > >	rng_gen_
	Boost-based random number generator. More...

std::vector< double >	error_sqr_dists_
	A vector holding the distances to the computed model. More...

unsigned int	sample_size_
	The size of a sample from which the model is computed. More...

unsigned int	model_size_
	The number of coefficients in the model. More...

std::function< bool(const Eigen::VectorXf &)>	custom_model_constraints_
	A user defined function that takes model coefficients and returns whether the model is acceptable or not. More...

Static Protected Attributes inherited from pcl::SampleConsensusModel< PointT >
static const unsigned int	max_sample_checks_ = 1000
	The maximum number of samples to try until we get a good one. More...

Detailed Description

template<typename PointT>
class pcl::SampleConsensusModelLine< PointT >

SampleConsensusModelLine defines a model for 3D line segmentation.

The model coefficients are defined as:

point_on_line.x : the X coordinate of a point on the line
point_on_line.y : the Y coordinate of a point on the line
point_on_line.z : the Z coordinate of a point on the line
line_direction.x : the X coordinate of a line's direction
line_direction.y : the Y coordinate of a line's direction
line_direction.z : the Z coordinate of a line's direction

Author: Radu B. Rusu

Definition at line 61 of file sac_model_line.h.

Member Typedef Documentation

ConstPtr

template<typename PointT >

using pcl::SampleConsensusModelLine< PointT >::ConstPtr = shared_ptr<const SampleConsensusModelLine<PointT> >

Definition at line 75 of file sac_model_line.h.

PointCloud

template<typename PointT >

using pcl::SampleConsensusModelLine< PointT >::PointCloud = typename SampleConsensusModel<PointT>::PointCloud

Definition at line 70 of file sac_model_line.h.

PointCloudConstPtr

template<typename PointT >

using pcl::SampleConsensusModelLine< PointT >::PointCloudConstPtr = typename SampleConsensusModel<PointT>::PointCloudConstPtr

Definition at line 72 of file sac_model_line.h.

PointCloudPtr

template<typename PointT >

using pcl::SampleConsensusModelLine< PointT >::PointCloudPtr = typename SampleConsensusModel<PointT>::PointCloudPtr

Definition at line 71 of file sac_model_line.h.

Ptr

template<typename PointT >

using pcl::SampleConsensusModelLine< PointT >::Ptr = shared_ptr<SampleConsensusModelLine<PointT> >

Definition at line 74 of file sac_model_line.h.

Constructor & Destructor Documentation

SampleConsensusModelLine() [1/2]

template<typename PointT >

pcl::SampleConsensusModelLine< PointT >::SampleConsensusModelLine	(	const PointCloudConstPtr &	cloud,
		bool	random = `false`
	)

inline

Constructor for base SampleConsensusModelLine.

Parameters

[in]	cloud	the input point cloud dataset
[in]	random	if true set the random seed to the current time, else set to 12345 (default: false)

Definition at line 81 of file sac_model_line.h.

References pcl::SampleConsensusModel< PointT >::model_name_, pcl::SampleConsensusModel< PointT >::model_size_, and pcl::SampleConsensusModel< PointT >::sample_size_.

SampleConsensusModelLine() [2/2]

template<typename PointT >

pcl::SampleConsensusModelLine< PointT >::SampleConsensusModelLine	(	const PointCloudConstPtr &	cloud,
		const Indices &	indices,
		bool	random = `false`
	)

inline

Constructor for base SampleConsensusModelLine.

Parameters

[in]	cloud	the input point cloud dataset
[in]	indices	a vector of point indices to be used from cloud
[in]	random	if true set the random seed to the current time, else set to 12345 (default: false)

Definition at line 94 of file sac_model_line.h.

References pcl::SampleConsensusModel< PointT >::model_name_, pcl::SampleConsensusModel< PointT >::model_size_, and pcl::SampleConsensusModel< PointT >::sample_size_.

~SampleConsensusModelLine()

template<typename PointT >

pcl::SampleConsensusModelLine< PointT >::~SampleConsensusModelLine ( )

inline

Empty destructor.

Definition at line 105 of file sac_model_line.h.

Member Function Documentation

computeModelCoefficients()

template<typename PointT >

bool pcl::SampleConsensusModelLine< PointT >::computeModelCoefficients	(	const Indices &	samples,
		Eigen::VectorXf &	model_coefficients
	)		const

overridevirtual

Check whether the given index samples can form a valid line model, compute the model coefficients from these samples and store them internally in model_coefficients_.

The line coefficients are represented by a point and a line direction

Parameters

[in]	samples	the point indices found as possible good candidates for creating a valid model
[out]	model_coefficients	the resultant model coefficients

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 74 of file sac_model_line.hpp.

countWithinDistance()

template<typename PointT >

std::size_t pcl::SampleConsensusModelLine< PointT >::countWithinDistance	(	const Eigen::VectorXf &	model_coefficients,
		const double	threshold
	)		const

overridevirtual

Count all the points which respect the given model coefficients as inliers.

Parameters

[in]	model_coefficients	the coefficients of a model that we need to compute distances to
[in]	threshold	maximum admissible distance threshold for determining the inliers from the outliers

Returns: the resultant number of inliers

Implements pcl::SampleConsensusModel< PointT >.

Reimplemented in pcl::SampleConsensusModelParallelLine< PointT >.

Definition at line 174 of file sac_model_line.hpp.

doSamplesVerifyModel()

template<typename PointT >

bool pcl::SampleConsensusModelLine< PointT >::doSamplesVerifyModel	(	const std::set< index_t > &	indices,
		const Eigen::VectorXf &	model_coefficients,
		const double	threshold
	)		const

overridevirtual

Verify whether a subset of indices verifies the given line model coefficients.

Parameters

[in]	indices	the data indices that need to be tested against the line model
[in]	model_coefficients	the line model coefficients
[in]	threshold	a maximum admissible distance threshold for determining the inliers from the outliers

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 324 of file sac_model_line.hpp.

getDistancesToModel()

template<typename PointT >

void pcl::SampleConsensusModelLine< PointT >::getDistancesToModel	(	const Eigen::VectorXf &	model_coefficients,
		std::vector< double > &	distances
	)		const

overridevirtual

Compute all squared distances from the cloud data to a given line model.

Parameters

[in]	model_coefficients	the coefficients of a line model that we need to compute distances to
[out]	distances	the resultant estimated squared distances

Implements pcl::SampleConsensusModel< PointT >.

Reimplemented in pcl::SampleConsensusModelParallelLine< PointT >.

Definition at line 109 of file sac_model_line.hpp.

getModelType()

template<typename PointT >

pcl::SacModel pcl::SampleConsensusModelLine< PointT >::getModelType ( ) const

inlineoverridevirtual

Return a unique id for this model (SACMODEL_LINE).

Implements pcl::SampleConsensusModel< PointT >.

Reimplemented in pcl::SampleConsensusModelParallelLine< PointT >.

Definition at line 180 of file sac_model_line.h.

References pcl::SACMODEL_LINE.

isSampleGood()

template<typename PointT >

bool pcl::SampleConsensusModelLine< PointT >::isSampleGood ( const Indices & samples ) const

overrideprotectedvirtual

Check if a sample of indices results in a good sample of points indices.

Parameters

[in] samples the resultant index samples

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 51 of file sac_model_line.hpp.

optimizeModelCoefficients()

template<typename PointT >

void pcl::SampleConsensusModelLine< PointT >::optimizeModelCoefficients	(	const Indices &	inliers,
		const Eigen::VectorXf &	model_coefficients,
		Eigen::VectorXf &	optimized_coefficients
	)		const

overridevirtual

Recompute the line coefficients using the given inlier set and return them to the user.

Note: : these are the coefficients of the line model after refinement (e.g. after SVD)

Parameters

[in]	inliers	the data inliers found as supporting the model
[in]	model_coefficients	the initial guess for the model coefficients
[out]	optimized_coefficients	the resultant recomputed coefficients after optimization

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 205 of file sac_model_line.hpp.

References pcl::compute3DCentroid(), pcl::computeCorrespondingEigenVector(), pcl::computeCovarianceMatrix(), and pcl::eigen33().

projectPoints()

template<typename PointT >

void pcl::SampleConsensusModelLine< PointT >::projectPoints	(	const Indices &	inliers,
		const Eigen::VectorXf &	model_coefficients,
		PointCloud &	projected_points,
		bool	copy_data_fields = `true`
	)		const

overridevirtual

Create a new point cloud with inliers projected onto the line model.

Parameters

[in]	inliers	the data inliers that we want to project on the line model
[in]	model_coefficients	the normalized coefficients of a line model
[out]	projected_points	the resultant projected points
[in]	copy_data_fields	set to true if we need to copy the other data fields

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 251 of file sac_model_line.hpp.

References pcl::PointCloud< PointT >::header, pcl::PointCloud< PointT >::height, pcl::PointCloud< PointT >::is_dense, pcl::PointCloud< PointT >::resize(), pcl::PointCloud< PointT >::size(), and pcl::PointCloud< PointT >::width.

selectWithinDistance()

template<typename PointT >

void pcl::SampleConsensusModelLine< PointT >::selectWithinDistance	(	const Eigen::VectorXf &	model_coefficients,
		const double	threshold,
		Indices &	inliers
	)

overridevirtual

Select all the points which respect the given model coefficients as inliers.

Parameters

[in]	model_coefficients	the coefficients of a line model that we need to compute distances to
[in]	threshold	a maximum admissible distance threshold for determining the inliers from the outliers
[out]	inliers	the resultant model inliers

Implements pcl::SampleConsensusModel< PointT >.

Reimplemented in pcl::SampleConsensusModelParallelLine< PointT >.

Definition at line 137 of file sac_model_line.hpp.

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

pcl/sample_consensus/sac_model_line.h
pcl/sample_consensus/impl/sac_model_line.hpp

© 2009–2012, Willow Garage, Inc.
© 2012–, Open Perception, Inc.
Licensed under the BSD License.
https://pointclouds.org/documentation/classpcl_1_1_sample_consensus_model_line.html

Name	PointCloudLibrary
Version
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Last Updated	2021-12-29T19:25:09Z

Public Types

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

template<typename PointT> class pcl::SampleConsensusModelLine< PointT >

Member Typedef Documentation

ConstPtr

PointCloud

PointCloudConstPtr

PointCloudPtr

Ptr

Constructor & Destructor Documentation

SampleConsensusModelLine() [1/2]

SampleConsensusModelLine() [2/2]

~SampleConsensusModelLine()

Member Function Documentation

computeModelCoefficients()

countWithinDistance()

doSamplesVerifyModel()

getDistancesToModel()

getModelType()

isSampleGood()

optimizeModelCoefficients()

projectPoints()

selectWithinDistance()

template<typename PointT>
class pcl::SampleConsensusModelLine< PointT >