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pcl::SampleConsensusModelNormalSphere< PointT, PointNT > Class Template Reference

SampleConsensusModelNormalSphere defines a model for 3D sphere segmentation using additional surface normal constraints. More...

#include <pcl/sample_consensus/sac_model_normal_sphere.h>

+ Inheritance diagram for pcl::SampleConsensusModelNormalSphere< PointT, PointNT >:

Public Types

typedef SampleConsensusModel
< PointT >::PointCloud 
PointCloud
 
typedef SampleConsensusModel
< PointT >::PointCloudPtr 
PointCloudPtr
 
typedef SampleConsensusModel
< PointT >::PointCloudConstPtr 
PointCloudConstPtr
 
typedef
SampleConsensusModelFromNormals
< PointT, PointNT >
::PointCloudNPtr 
PointCloudNPtr
 
typedef
SampleConsensusModelFromNormals
< PointT, PointNT >
::PointCloudNConstPtr 
PointCloudNConstPtr
 
typedef boost::shared_ptr
< SampleConsensusModelNormalSphere
Ptr
 
- Public Types inherited from pcl::SampleConsensusModelSphere< PointT >
typedef SampleConsensusModel
< PointT >::PointCloud 
PointCloud
 
typedef SampleConsensusModel
< PointT >::PointCloudPtr 
PointCloudPtr
 
typedef SampleConsensusModel
< PointT >::PointCloudConstPtr 
PointCloudConstPtr
 
typedef boost::shared_ptr
< SampleConsensusModelSphere
Ptr
 
- Public Types inherited from pcl::SampleConsensusModel< PointT >
typedef pcl::PointCloud< PointTPointCloud
 
typedef pcl::PointCloud
< PointT >::ConstPtr 
PointCloudConstPtr
 
typedef pcl::PointCloud
< PointT >::Ptr 
PointCloudPtr
 
typedef pcl::search::Search
< PointT >::Ptr 
SearchPtr
 
typedef boost::shared_ptr
< SampleConsensusModel
Ptr
 
typedef boost::shared_ptr
< const SampleConsensusModel
ConstPtr
 
- Public Types inherited from pcl::SampleConsensusModelFromNormals< PointT, PointNT >
typedef pcl::PointCloud
< PointNT >::ConstPtr 
PointCloudNConstPtr
 
typedef pcl::PointCloud
< PointNT >::Ptr 
PointCloudNPtr
 
typedef boost::shared_ptr
< SampleConsensusModelFromNormals
Ptr
 
typedef boost::shared_ptr
< const
SampleConsensusModelFromNormals
ConstPtr
 

Public Member Functions

 SampleConsensusModelNormalSphere (const PointCloudConstPtr &cloud, bool random=false)
 Constructor for base SampleConsensusModelNormalSphere. More...
 
 SampleConsensusModelNormalSphere (const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false)
 Constructor for base SampleConsensusModelNormalSphere. More...
 
virtual ~SampleConsensusModelNormalSphere ()
 Empty destructor. More...
 
void selectWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold, std::vector< int > &inliers)
 Select all the points which respect the given model coefficients as inliers. More...
 
virtual int countWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold) const
 Count all the points which respect the given model coefficients as inliers. More...
 
void getDistancesToModel (const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const
 Compute all distances from the cloud data to a given sphere model. More...
 
pcl::SacModel getModelType () const
 Return an unique id for this model (SACMODEL_NORMAL_SPHERE). More...
 
- Public Member Functions inherited from pcl::SampleConsensusModelSphere< PointT >
 SampleConsensusModelSphere (const PointCloudConstPtr &cloud, bool random=false)
 Constructor for base SampleConsensusModelSphere. More...
 
 SampleConsensusModelSphere (const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false)
 Constructor for base SampleConsensusModelSphere. More...
 
virtual ~SampleConsensusModelSphere ()
 Empty destructor. More...
 
 SampleConsensusModelSphere (const SampleConsensusModelSphere &source)
 Copy constructor. More...
 
SampleConsensusModelSphereoperator= (const SampleConsensusModelSphere &source)
 Copy constructor. More...
 
bool computeModelCoefficients (const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) const
 Check whether the given index samples can form a valid sphere 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
 Compute all distances from the cloud data to a given sphere model. More...
 
void selectWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold, std::vector< int > &inliers)
 Select all the points which respect the given model coefficients as inliers. More...
 
void optimizeModelCoefficients (const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) const
 Recompute the sphere coefficients using the given inlier set and return them to the user. More...
 
void projectPoints (const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) const
 Create a new point cloud with inliers projected onto the sphere model. More...
 
bool doSamplesVerifyModel (const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) const
 Verify whether a subset of indices verifies the given sphere model coefficients. More...
 
pcl::SacModel getModelType () const
 Return an unique id for this model (SACMODEL_SPHERE). 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 std::vector< int > &indices, bool random=false)
 Constructor for base SampleConsensusModel. More...
 
virtual ~SampleConsensusModel ()
 Destructor for base SampleConsensusModel. More...
 
virtual void getSamples (int &iterations, std::vector< int > &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 boost::shared_ptr< std::vector< int > > &indices)
 Provide a pointer to the vector of indices that represents the input data. More...
 
void setIndices (const std::vector< int > &indices)
 Provide the vector of indices that represents the input data. More...
 
boost::shared_ptr< std::vector
< int > > 
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 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...
 
- Public Member Functions inherited from pcl::SampleConsensusModelFromNormals< PointT, PointNT >
 SampleConsensusModelFromNormals ()
 Empty constructor for base SampleConsensusModelFromNormals. More...
 
virtual ~SampleConsensusModelFromNormals ()
 Destructor. More...
 
void setNormalDistanceWeight (const double w)
 Set the normal angular distance weight. More...
 
double getNormalDistanceWeight ()
 Get the normal angular distance weight. 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 ()
 Get a pointer to the normals of the input XYZ point cloud dataset. More...
 

Protected Member Functions

virtual bool isModelValid (const Eigen::VectorXf &model_coefficients) const
 Check whether a model is valid given the user constraints. More...
 
- Protected Member Functions inherited from pcl::SampleConsensusModelSphere< PointT >
bool isSampleGood (const std::vector< int > &samples) const
 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 (std::vector< int > &sample)
 Fills a sample array with random samples from the indices_ vector. More...
 
void drawIndexSampleRadius (std::vector< int > &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...
 
boost::shared_ptr< std::vector
< int > > 
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...
 
std::vector< int > shuffled_indices_
 Data containing a shuffled version of the indices. More...
 
boost::mt19937 rng_alg_
 Boost-based random number generator algorithm. More...
 
boost::shared_ptr
< boost::uniform_int<> > 
rng_dist_
 Boost-based random number generator distribution. More...
 
boost::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...
 
- Protected Attributes inherited from pcl::SampleConsensusModelFromNormals< PointT, PointNT >
double normal_distance_weight_
 The relative weight (between 0 and 1) to give to the angular distance (0 to pi/2) between point normals and the plane normal. More...
 
PointCloudNConstPtr normals_
 A pointer to the input dataset that contains the point normals of the XYZ dataset. 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, typename PointNT>
class pcl::SampleConsensusModelNormalSphere< PointT, PointNT >

SampleConsensusModelNormalSphere defines a model for 3D sphere segmentation using additional surface normal constraints.

Basically this means that checking for inliers will not only involve a "distance to model" criterion, but also an additional "maximum angular deviation" between the sphere's normal and the inlier points normals.

The model coefficients are defined as:

Author
Stefan Schrandt

Definition at line 69 of file sac_model_normal_sphere.h.

Member Typedef Documentation

template<typename PointT, typename PointNT>
typedef SampleConsensusModel<PointT>::PointCloud pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::PointCloud

Definition at line 81 of file sac_model_normal_sphere.h.

template<typename PointT, typename PointNT>
typedef SampleConsensusModel<PointT>::PointCloudConstPtr pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::PointCloudConstPtr

Definition at line 83 of file sac_model_normal_sphere.h.

template<typename PointT, typename PointNT>
typedef SampleConsensusModelFromNormals<PointT, PointNT>::PointCloudNConstPtr pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::PointCloudNConstPtr

Definition at line 86 of file sac_model_normal_sphere.h.

template<typename PointT, typename PointNT>
typedef SampleConsensusModelFromNormals<PointT, PointNT>::PointCloudNPtr pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::PointCloudNPtr

Definition at line 85 of file sac_model_normal_sphere.h.

template<typename PointT, typename PointNT>
typedef SampleConsensusModel<PointT>::PointCloudPtr pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::PointCloudPtr

Definition at line 82 of file sac_model_normal_sphere.h.

template<typename PointT, typename PointNT>
typedef boost::shared_ptr<SampleConsensusModelNormalSphere> pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::Ptr

Definition at line 88 of file sac_model_normal_sphere.h.

Constructor & Destructor Documentation

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

Constructor for base SampleConsensusModelNormalSphere.

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 94 of file sac_model_normal_sphere.h.

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

template<typename PointT, typename PointNT>
pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::SampleConsensusModelNormalSphere ( const PointCloudConstPtr cloud,
const std::vector< int > &  indices,
bool  random = false 
)
inline

Constructor for base SampleConsensusModelNormalSphere.

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 109 of file sac_model_normal_sphere.h.

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

template<typename PointT, typename PointNT>
virtual pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::~SampleConsensusModelNormalSphere ( )
inlinevirtual

Empty destructor.

Definition at line 121 of file sac_model_normal_sphere.h.

Member Function Documentation

template<typename PointT , typename PointNT >
int pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::countWithinDistance ( const Eigen::VectorXf &  model_coefficients,
const double  threshold 
) const
virtual

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

Reimplemented from pcl::SampleConsensusModelSphere< PointT >.

Definition at line 110 of file sac_model_normal_sphere.hpp.

References pcl::getAngle3D().

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

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

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

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 160 of file sac_model_normal_sphere.hpp.

References pcl::getAngle3D().

template<typename PointT, typename PointNT>
pcl::SacModel pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::getModelType ( ) const
inlinevirtual

Return an unique id for this model (SACMODEL_NORMAL_SPHERE).

Implements pcl::SampleConsensusModel< PointT >.

Definition at line 152 of file sac_model_normal_sphere.h.

References pcl::SACMODEL_NORMAL_SPHERE.

template<typename PointT , typename PointNT >
bool pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::isModelValid ( const Eigen::VectorXf &  model_coefficients) const
protectedvirtual

Check whether a model is valid given the user constraints.

Parameters
[in]model_coefficientsthe set of model coefficients

Reimplemented from pcl::SampleConsensusModelSphere< PointT >.

Definition at line 210 of file sac_model_normal_sphere.hpp.

template<typename PointT , typename PointNT >
void pcl::SampleConsensusModelNormalSphere< PointT, PointNT >::selectWithinDistance ( const Eigen::VectorXf &  model_coefficients,
const double  threshold,
std::vector< int > &  inliers 
)
virtual

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

Parameters
[in]model_coefficientsthe coefficients of a sphere 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 48 of file sac_model_normal_sphere.hpp.

References pcl::getAngle3D().


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