Point Cloud Library (PCL)
1.14.1-dev
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SampleConsensusModelPerpendicularPlane defines a model for 3D plane segmentation using additional angular constraints. More...
#include <pcl/sample_consensus/sac_model_perpendicular_plane.h>
Public Member Functions | |
SampleConsensusModelPerpendicularPlane (const PointCloudConstPtr &cloud, bool random=false) | |
Constructor for base SampleConsensusModelPerpendicularPlane. More... | |
SampleConsensusModelPerpendicularPlane (const PointCloudConstPtr &cloud, const Indices &indices, bool random=false) | |
Constructor for base SampleConsensusModelPerpendicularPlane. More... | |
~SampleConsensusModelPerpendicularPlane () override=default | |
Empty destructor. More... | |
void | setAxis (const Eigen::Vector3f &ax) |
Set the axis along which we need to search for a plane perpendicular to. More... | |
Eigen::Vector3f | getAxis () const |
Get the axis along which we need to search for a plane perpendicular to. More... | |
void | setEpsAngle (const double ea) |
Set the angle epsilon (delta) threshold. More... | |
double | getEpsAngle () const |
Get the angle epsilon (delta) threshold. 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 | getDistancesToModel (const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const override |
Compute all distances from the cloud data to a given plane model. More... | |
pcl::SacModel | getModelType () const override |
Return a unique id for this model (SACMODEL_PERPENDICULAR_PLANE). More... | |
Public Member Functions inherited from pcl::SampleConsensusModelPlane< PointT > | |
SampleConsensusModelPlane (const PointCloudConstPtr &cloud, bool random=false) | |
Constructor for base SampleConsensusModelPlane. More... | |
SampleConsensusModelPlane (const PointCloudConstPtr &cloud, const Indices &indices, bool random=false) | |
Constructor for base SampleConsensusModelPlane. More... | |
~SampleConsensusModelPlane () override=default | |
Empty destructor. More... | |
bool | computeModelCoefficients (const Indices &samples, Eigen::VectorXf &model_coefficients) const override |
Check whether the given index samples can form a valid plane 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 distances from the cloud data to a given plane 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 plane 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 plane 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 plane model coefficients. More... | |
pcl::SacModel | getModelType () const override |
Return a unique id for this model (SACMODEL_PLANE). 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... | |
Protected Member Functions inherited from pcl::SampleConsensusModelPlane< PointT > | |
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... | |
Protected Attributes | |
Eigen::Vector3f | axis_ |
The axis along which we need to search for a plane perpendicular to. More... | |
double | eps_angle_ |
The maximum allowed difference between the plane normal and the given axis. More... | |
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... | |
Additional Inherited Members | |
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... | |
SampleConsensusModelPerpendicularPlane defines a model for 3D plane segmentation using additional angular constraints.
The plane must be perpendicular to a user-specified axis (setAxis), up to a user-specified angle threshold (setEpsAngle). In other words, the plane normal must be (nearly) parallel to the specified axis. The model coefficients are defined as:
Code example for a plane model, perpendicular (within a 15 degrees tolerance) with the Z axis:
Definition at line 70 of file sac_model_perpendicular_plane.h.
using pcl::SampleConsensusModelPerpendicularPlane< PointT >::ConstPtr = shared_ptr<const SampleConsensusModelPerpendicularPlane<PointT> > |
Definition at line 80 of file sac_model_perpendicular_plane.h.
using pcl::SampleConsensusModelPerpendicularPlane< PointT >::PointCloud = typename SampleConsensusModelPlane<PointT>::PointCloud |
Definition at line 75 of file sac_model_perpendicular_plane.h.
using pcl::SampleConsensusModelPerpendicularPlane< PointT >::PointCloudConstPtr = typename SampleConsensusModelPlane<PointT>::PointCloudConstPtr |
Definition at line 77 of file sac_model_perpendicular_plane.h.
using pcl::SampleConsensusModelPerpendicularPlane< PointT >::PointCloudPtr = typename SampleConsensusModelPlane<PointT>::PointCloudPtr |
Definition at line 76 of file sac_model_perpendicular_plane.h.
using pcl::SampleConsensusModelPerpendicularPlane< PointT >::Ptr = shared_ptr<SampleConsensusModelPerpendicularPlane<PointT> > |
Definition at line 79 of file sac_model_perpendicular_plane.h.
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inline |
Constructor for base SampleConsensusModelPerpendicularPlane.
[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 86 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModel< PointT >::model_name_, pcl::SampleConsensusModel< PointT >::model_size_, and pcl::SampleConsensusModel< PointT >::sample_size_.
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inline |
Constructor for base SampleConsensusModelPerpendicularPlane.
[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 102 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModel< PointT >::model_name_, pcl::SampleConsensusModel< PointT >::model_size_, and pcl::SampleConsensusModel< PointT >::sample_size_.
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overridedefault |
Empty destructor.
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overridevirtual |
Count all the points which respect the given model coefficients as inliers.
[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 |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 64 of file sac_model_perpendicular_plane.hpp.
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inline |
Get the axis along which we need to search for a plane perpendicular to.
Definition at line 125 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModelPerpendicularPlane< PointT >::axis_.
Referenced by pcl::SACSegmentation< PointT >::initSACModel().
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overridevirtual |
Compute all distances from the cloud data to a given plane model.
[in] | model_coefficients | the coefficients of a plane model that we need to compute distances to |
[out] | distances | the resultant estimated distances |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 78 of file sac_model_perpendicular_plane.hpp.
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inline |
Get the angle epsilon (delta) threshold.
Definition at line 136 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModelPerpendicularPlane< PointT >::eps_angle_.
Referenced by pcl::SACSegmentation< PointT >::initSACModel().
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inlineoverridevirtual |
Return a unique id for this model (SACMODEL_PERPENDICULAR_PLANE).
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 168 of file sac_model_perpendicular_plane.h.
References pcl::SACMODEL_PERPENDICULAR_PLANE.
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overrideprotectedvirtual |
Check whether a model is valid given the user constraints.
[in] | model_coefficients | the set of model coefficients |
Reimplemented from pcl::SampleConsensusModel< PointT >.
Definition at line 93 of file sac_model_perpendicular_plane.hpp.
References pcl::getAngle3D(), and M_PI.
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overridevirtual |
Select all the points which respect the given model coefficients as inliers.
[in] | model_coefficients | the coefficients of a plane 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 >.
Definition at line 49 of file sac_model_perpendicular_plane.hpp.
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inline |
Set the axis along which we need to search for a plane perpendicular to.
[in] | ax | the axis along which we need to search for a plane perpendicular to |
Definition at line 121 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModelPerpendicularPlane< PointT >::axis_.
Referenced by pcl::SACSegmentation< PointT >::initSACModel().
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inline |
Set the angle epsilon (delta) threshold.
[in] | ea | the maximum allowed difference between the plane normal and the given axis. |
Definition at line 132 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModelPerpendicularPlane< PointT >::eps_angle_.
Referenced by pcl::SACSegmentation< PointT >::initSACModel().
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protected |
The axis along which we need to search for a plane perpendicular to.
Definition at line 181 of file sac_model_perpendicular_plane.h.
Referenced by pcl::SampleConsensusModelPerpendicularPlane< PointT >::getAxis(), and pcl::SampleConsensusModelPerpendicularPlane< PointT >::setAxis().
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protected |
The maximum allowed difference between the plane normal and the given axis.
Definition at line 184 of file sac_model_perpendicular_plane.h.
Referenced by pcl::SampleConsensusModelPerpendicularPlane< PointT >::getEpsAngle(), and pcl::SampleConsensusModelPerpendicularPlane< PointT >::setEpsAngle().