Point Cloud Library (PCL)  1.14.1-dev
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pcl::SampleConsensusModelCircle2D< PointT > Class Template Reference

SampleConsensusModelCircle2D defines a model for 2D circle segmentation on the X-Y plane. More...

#include <pcl/sample_consensus/sac_model_circle.h>

+ Inheritance diagram for pcl::SampleConsensusModelCircle2D< PointT >:
+ Collaboration diagram for pcl::SampleConsensusModelCircle2D< PointT >:

Public Types

using PointCloud = typename SampleConsensusModel< PointT >::PointCloud
 
using PointCloudPtr = typename SampleConsensusModel< PointT >::PointCloudPtr
 
using PointCloudConstPtr = typename SampleConsensusModel< PointT >::PointCloudConstPtr
 
using Ptr = shared_ptr< SampleConsensusModelCircle2D< PointT > >
 
using ConstPtr = shared_ptr< const SampleConsensusModelCircle2D< 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

 SampleConsensusModelCircle2D (const PointCloudConstPtr &cloud, bool random=false)
 Constructor for base SampleConsensusModelCircle2D. More...
 
 SampleConsensusModelCircle2D (const PointCloudConstPtr &cloud, const Indices &indices, bool random=false)
 Constructor for base SampleConsensusModelCircle2D. More...
 
 SampleConsensusModelCircle2D (const SampleConsensusModelCircle2D &source)
 Copy constructor. More...
 
 ~SampleConsensusModelCircle2D () override=default
 Empty destructor. More...
 
SampleConsensusModelCircle2Doperator= (const SampleConsensusModelCircle2D &source)
 Copy constructor. More...
 
bool computeModelCoefficients (const Indices &samples, Eigen::VectorXf &model_coefficients) const override
 Check whether the given index samples can form a valid 2D circle model, compute the model coefficients from these samples and store them in model_coefficients. More...
 
void getDistancesToModel (const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const override
 Compute all distances from the cloud data to a given 2D circle model. More...
 
void selectWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold, Indices &inliers) override
 Compute all distances from the cloud data to a given 2D circle model. 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 2d circle 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 2d circle 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 2d circle model coefficients. More...
 
pcl::SacModel getModelType () const override
 Return a unique id for this model (SACMODEL_CIRCLE2D). 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 ()=default
 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 isModelValid (const Eigen::VectorXf &model_coefficients) const override
 Check whether a model is valid given the user constraints. More...
 
bool isSampleGood (const Indices &samples) const override
 Check if a sample of indices results in a good sample of points indices. More...
 
std::size_t countWithinDistanceStandard (const Eigen::VectorXf &model_coefficients, const double threshold, std::size_t i=0) const
 This implementation uses no SIMD instructions. 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...
 
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::SampleConsensusModelCircle2D< PointT >

SampleConsensusModelCircle2D defines a model for 2D circle segmentation on the X-Y plane.

The model coefficients are defined as:

Author
Radu B. Rusu

Definition at line 66 of file sac_model_circle.h.

Member Typedef Documentation

◆ ConstPtr

template<typename PointT >
using pcl::SampleConsensusModelCircle2D< PointT >::ConstPtr = shared_ptr<const SampleConsensusModelCircle2D<PointT> >

Definition at line 81 of file sac_model_circle.h.

◆ PointCloud

template<typename PointT >
using pcl::SampleConsensusModelCircle2D< PointT >::PointCloud = typename SampleConsensusModel<PointT>::PointCloud

Definition at line 76 of file sac_model_circle.h.

◆ PointCloudConstPtr

Definition at line 78 of file sac_model_circle.h.

◆ PointCloudPtr

Definition at line 77 of file sac_model_circle.h.

◆ Ptr

template<typename PointT >
using pcl::SampleConsensusModelCircle2D< PointT >::Ptr = shared_ptr<SampleConsensusModelCircle2D<PointT> >

Definition at line 80 of file sac_model_circle.h.

Constructor & Destructor Documentation

◆ SampleConsensusModelCircle2D() [1/3]

template<typename PointT >
pcl::SampleConsensusModelCircle2D< PointT >::SampleConsensusModelCircle2D ( const PointCloudConstPtr cloud,
bool  random = false 
)
inline

Constructor for base SampleConsensusModelCircle2D.

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

Definition at line 87 of file sac_model_circle.h.

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

◆ SampleConsensusModelCircle2D() [2/3]

template<typename PointT >
pcl::SampleConsensusModelCircle2D< PointT >::SampleConsensusModelCircle2D ( const PointCloudConstPtr cloud,
const Indices indices,
bool  random = false 
)
inline

Constructor for base SampleConsensusModelCircle2D.

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

Definition at line 100 of file sac_model_circle.h.

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

◆ SampleConsensusModelCircle2D() [3/3]

Copy constructor.

Parameters
[in]sourcethe model to copy into this

Definition at line 113 of file sac_model_circle.h.

References pcl::SampleConsensusModel< PointT >::model_name_.

◆ ~SampleConsensusModelCircle2D()

template<typename PointT >
pcl::SampleConsensusModelCircle2D< PointT >::~SampleConsensusModelCircle2D ( )
overridedefault

Empty destructor.

Member Function Documentation

◆ computeModelCoefficients()

template<typename PointT >
bool pcl::SampleConsensusModelCircle2D< PointT >::computeModelCoefficients ( const Indices samples,
Eigen::VectorXf &  model_coefficients 
) const
overridevirtual

Check whether the given index samples can form a valid 2D circle model, compute the model coefficients from these samples and store them in model_coefficients.

The circle coefficients are: x, y, R.

Parameters
[in]samplesthe point indices found as possible good candidates for creating a valid model
[out]model_coefficientsthe resultant model coefficients

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 81 of file sac_model_circle.hpp.

◆ countWithinDistance()

template<typename PointT >
std::size_t pcl::SampleConsensusModelCircle2D< 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_coefficientsthe coefficients of a model that we need to compute distances to
[in]thresholdmaximum admissible distance threshold for determining the inliers from the outliers
Returns
the resultant number of inliers

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 205 of file sac_model_circle.hpp.

◆ countWithinDistanceStandard()

template<typename PointT >
std::size_t pcl::SampleConsensusModelCircle2D< PointT >::countWithinDistanceStandard ( const Eigen::VectorXf &  model_coefficients,
const double  threshold,
std::size_t  i = 0 
) const
protected

This implementation uses no SIMD instructions.

It is not intended for normal use. See countWithinDistance which automatically uses the fastest implementation.

Definition at line 223 of file sac_model_circle.hpp.

◆ doSamplesVerifyModel()

template<typename PointT >
bool pcl::SampleConsensusModelCircle2D< 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 2d circle model coefficients.

Parameters
[in]indicesthe data indices that need to be tested against the 2d circle model
[in]model_coefficientsthe 2d circle model coefficients
[in]thresholda maximum admissible distance threshold for determining the inliers from the outliers

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 422 of file sac_model_circle.hpp.

◆ getDistancesToModel()

template<typename PointT >
void pcl::SampleConsensusModelCircle2D< PointT >::getDistancesToModel ( const Eigen::VectorXf &  model_coefficients,
std::vector< double > &  distances 
) const
overridevirtual

Compute all distances from the cloud data to a given 2D circle model.

Parameters
[in]model_coefficientsthe coefficients of a 2D circle model that we need to compute distances to
[out]distancesthe resultant estimated distances

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 142 of file sac_model_circle.hpp.

◆ getModelType()

template<typename PointT >
pcl::SacModel pcl::SampleConsensusModelCircle2D< PointT >::getModelType ( ) const
inlineoverridevirtual

Return a unique id for this model (SACMODEL_CIRCLE2D).

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 205 of file sac_model_circle.h.

References pcl::SACMODEL_CIRCLE2D.

◆ isModelValid()

template<typename PointT >
bool pcl::SampleConsensusModelCircle2D< PointT >::isModelValid ( const Eigen::VectorXf &  model_coefficients) const
overrideprotectedvirtual

Check whether a model is valid given the user constraints.

Parameters
[in]model_coefficientsthe set of model coefficients

Reimplemented from pcl::SampleConsensusModel< PointT >.

Definition at line 450 of file sac_model_circle.hpp.

◆ isSampleGood()

template<typename PointT >
bool pcl::SampleConsensusModelCircle2D< PointT >::isSampleGood ( const Indices samples) const
overrideprotectedvirtual

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

Parameters
[in]samplesthe resultant index samples

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 50 of file sac_model_circle.hpp.

◆ operator=()

template<typename PointT >
SampleConsensusModelCircle2D& pcl::SampleConsensusModelCircle2D< PointT >::operator= ( const SampleConsensusModelCircle2D< PointT > &  source)
inline

Copy constructor.

Parameters
[in]sourcethe model to copy into this

Definition at line 127 of file sac_model_circle.h.

◆ optimizeModelCoefficients()

template<typename PointT >
void pcl::SampleConsensusModelCircle2D< PointT >::optimizeModelCoefficients ( const Indices inliers,
const Eigen::VectorXf &  model_coefficients,
Eigen::VectorXf &  optimized_coefficients 
) const
overridevirtual

Recompute the 2d circle coefficients using the given inlier set and return them to the user.

Note
: these are the coefficients of the 2d circle model after refinement (e.g. after SVD)
Parameters
[in]inliersthe data inliers found as supporting the model
[in]model_coefficientsthe initial guess for the optimization
[out]optimized_coefficientsthe resultant recomputed coefficients after non-linear optimization

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 324 of file sac_model_circle.hpp.

◆ projectPoints()

template<typename PointT >
void pcl::SampleConsensusModelCircle2D< 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 2d circle model.

Parameters
[in]inliersthe data inliers that we want to project on the 2d circle model
[in]model_coefficientsthe coefficients of a 2d circle model
[out]projected_pointsthe resultant projected points
[in]copy_data_fieldsset to true if we need to copy the other data fields

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 355 of file sac_model_circle.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::SampleConsensusModelCircle2D< PointT >::selectWithinDistance ( const Eigen::VectorXf &  model_coefficients,
const double  threshold,
Indices inliers 
)
overridevirtual

Compute all distances from the cloud data to a given 2D circle model.

Parameters
[in]model_coefficientsthe coefficients of a 2D circle model that we need to compute distances to
[in]thresholda maximum admissible distance threshold for determining the inliers from the outliers
[out]inliersthe resultant model inliers

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 167 of file sac_model_circle.hpp.


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