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Point Cloud Library (PCL)
1.7.2
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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>
Inheritance diagram for pcl::SampleConsensusModelPerpendicularPlane< PointT >:
Collaboration diagram for pcl::SampleConsensusModelPerpendicularPlane< PointT >:Public Member Functions | |
| SampleConsensusModelPerpendicularPlane (const PointCloudConstPtr &cloud, bool random=false) | |
| Constructor for base SampleConsensusModelPerpendicularPlane. More... | |
| SampleConsensusModelPerpendicularPlane (const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false) | |
| Constructor for base SampleConsensusModelPerpendicularPlane. More... | |
| virtual | ~SampleConsensusModelPerpendicularPlane () |
| 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 () |
| 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 () |
| Get the angle epsilon (delta) threshold. 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) |
| Count all the points which respect the given model coefficients as inliers. More... | |
| void | getDistancesToModel (const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) |
| Compute all distances from the cloud data to a given plane model. More... | |
| pcl::SacModel | getModelType () const |
| Return an 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 std::vector< int > &indices, bool random=false) | |
| Constructor for base SampleConsensusModelPlane. More... | |
| virtual | ~SampleConsensusModelPlane () |
| Empty destructor. More... | |
| bool | computeModelCoefficients (const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) |
| 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) |
| Compute all distances from the cloud data to a given plane 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) |
| Recompute the plane 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) |
| Create a new point cloud with inliers projected onto the plane model. More... | |
| bool | doSamplesVerifyModel (const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) |
| Verify whether a subset of indices verifies the given plane model coefficients. More... | |
| pcl::SacModel | getModelType () const |
| Return an 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 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... | |
| unsigned int | getSampleSize () const |
| Return the size of a sample from which a model is computed. 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) |
| 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) |
| Get maximum distance allowed when drawing random samples. More... | |
| double | computeVariance (const std::vector< double > &error_sqr_dists) |
| Compute the variance of the errors to the model. More... | |
| double | computeVariance () |
| 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) |
| Check whether a model is valid given the user constraints. More... | |
Protected Member Functions inherited from pcl::SampleConsensusModelPlane< PointT > | |
| bool | isModelValid (const Eigen::VectorXf &model_coefficients) |
| Check whether a model is valid given the user constraints. 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... | |
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 > | |
| 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... | |
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 an user-specified axis (setAxis), up to an user-specified angle threshold (setEpsAngle). 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 71 of file sac_model_perpendicular_plane.h.
| typedef SampleConsensusModelPlane<PointT>::PointCloud pcl::SampleConsensusModelPerpendicularPlane< PointT >::PointCloud |
Definition at line 74 of file sac_model_perpendicular_plane.h.
| typedef SampleConsensusModelPlane<PointT>::PointCloudConstPtr pcl::SampleConsensusModelPerpendicularPlane< PointT >::PointCloudConstPtr |
Definition at line 76 of file sac_model_perpendicular_plane.h.
| typedef SampleConsensusModelPlane<PointT>::PointCloudPtr pcl::SampleConsensusModelPerpendicularPlane< PointT >::PointCloudPtr |
Definition at line 75 of file sac_model_perpendicular_plane.h.
| typedef boost::shared_ptr<SampleConsensusModelPerpendicularPlane> pcl::SampleConsensusModelPerpendicularPlane< PointT >::Ptr |
Definition at line 78 of file sac_model_perpendicular_plane.h.
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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 84 of file sac_model_perpendicular_plane.h.
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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 97 of file sac_model_perpendicular_plane.h.
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inlinevirtual |
Empty destructor.
Definition at line 107 of file sac_model_perpendicular_plane.h.
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virtual |
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 |
Reimplemented from pcl::SampleConsensusModelPlane< PointT >.
Definition at line 63 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 117 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModelPerpendicularPlane< PointT >::axis_.
Referenced by pcl::SACSegmentation< PointT >::initSACModel().
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virtual |
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 75 of file sac_model_perpendicular_plane.hpp.
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inline |
Get the angle epsilon (delta) threshold.
Definition at line 128 of file sac_model_perpendicular_plane.h.
References pcl::SampleConsensusModelPerpendicularPlane< PointT >::eps_angle_.
Referenced by pcl::SACSegmentation< PointT >::initSACModel().
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inlinevirtual |
Return an unique id for this model (SACMODEL_PERPENDICULAR_PLANE).
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 160 of file sac_model_perpendicular_plane.h.
References pcl::SACMODEL_PERPENDICULAR_PLANE.
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protectedvirtual |
Check whether a model is valid given the user constraints.
| [in] | model_coefficients | the set of model coefficients |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 90 of file sac_model_perpendicular_plane.hpp.
References pcl::getAngle3D().
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virtual |
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 48 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 113 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 124 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 170 of file sac_model_perpendicular_plane.h.
Referenced by pcl::SampleConsensusModelPerpendicularPlane< PointT >::getAxis(), and pcl::SampleConsensusModelPerpendicularPlane< PointT >::setAxis().
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The maximum allowed difference between the plane normal and the given axis.
Definition at line 173 of file sac_model_perpendicular_plane.h.
Referenced by pcl::SampleConsensusModelPerpendicularPlane< PointT >::getEpsAngle(), and pcl::SampleConsensusModelPerpendicularPlane< PointT >::setEpsAngle().