SampleConsensusModelCircle2D defines a model for 2D circle segmentation on the X-Y plane. More...
#include <sac_model_circle.h>
Classes | |
struct | OptimizationFunctor |
Functor for the optimization function. More... | |
Public Types | |
typedef SampleConsensusModel < PointT >::PointCloud | PointCloud |
typedef SampleConsensusModel < PointT >::PointCloudConstPtr | PointCloudConstPtr |
typedef SampleConsensusModel < PointT >::PointCloudPtr | PointCloudPtr |
typedef boost::shared_ptr < SampleConsensusModelCircle2D > | Ptr |
Public Member Functions | |
bool | computeModelCoefficients (const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) |
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. | |
virtual int | countWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold) |
Count all the points which respect the given model coefficients as inliers. | |
bool | doSamplesVerifyModel (const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) |
Verify whether a subset of indices verifies the given 2d circle model coefficients. | |
void | getDistancesToModel (const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) |
Compute all distances from the cloud data to a given 2D circle model. | |
pcl::SacModel | getModelType () const |
Return an unique id for this model (SACMODEL_CIRCLE2D). | |
SampleConsensusModelCircle2D & | operator= (const SampleConsensusModelCircle2D &source) |
Copy constructor. | |
void | optimizeModelCoefficients (const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) |
Recompute the 2d circle coefficients using the given inlier set and return them to the user. | |
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 2d circle model. | |
SampleConsensusModelCircle2D (const PointCloudConstPtr &cloud) | |
Constructor for base SampleConsensusModelCircle2D. | |
SampleConsensusModelCircle2D (const PointCloudConstPtr &cloud, const std::vector< int > &indices) | |
Constructor for base SampleConsensusModelCircle2D. | |
SampleConsensusModelCircle2D (const SampleConsensusModelCircle2D &source) | |
Copy constructor. | |
void | selectWithinDistance (const Eigen::VectorXf &model_coefficients, const double threshold, std::vector< int > &inliers) |
Compute all distances from the cloud data to a given 2D circle model. | |
Protected Member Functions | |
bool | isModelValid (const Eigen::VectorXf &model_coefficients) |
Check whether a model is valid given the user constraints. | |
bool | isSampleGood (const std::vector< int > &samples) const |
Check if a sample of indices results in a good sample of points indices. | |
Private Attributes | |
const std::vector< int > * | tmp_inliers_ |
Temporary pointer to a list of given indices for optimizeModelCoefficients () |
SampleConsensusModelCircle2D defines a model for 2D circle segmentation on the X-Y plane.
The model coefficients are defined as:
Definition at line 59 of file sac_model_circle.h.
typedef SampleConsensusModel<PointT>::PointCloud pcl::SampleConsensusModelCircle2D< PointT >::PointCloud |
Reimplemented from pcl::SampleConsensusModel< PointT >.
Definition at line 67 of file sac_model_circle.h.
typedef SampleConsensusModel<PointT>::PointCloudConstPtr pcl::SampleConsensusModelCircle2D< PointT >::PointCloudConstPtr |
Reimplemented from pcl::SampleConsensusModel< PointT >.
Definition at line 69 of file sac_model_circle.h.
typedef SampleConsensusModel<PointT>::PointCloudPtr pcl::SampleConsensusModelCircle2D< PointT >::PointCloudPtr |
Reimplemented from pcl::SampleConsensusModel< PointT >.
Definition at line 68 of file sac_model_circle.h.
typedef boost::shared_ptr<SampleConsensusModelCircle2D> pcl::SampleConsensusModelCircle2D< PointT >::Ptr |
Reimplemented from pcl::SampleConsensusModel< PointT >.
Definition at line 71 of file sac_model_circle.h.
pcl::SampleConsensusModelCircle2D< PointT >::SampleConsensusModelCircle2D | ( | const PointCloudConstPtr & | cloud | ) | [inline] |
Constructor for base SampleConsensusModelCircle2D.
[in] | cloud | the input point cloud dataset |
Definition at line 76 of file sac_model_circle.h.
pcl::SampleConsensusModelCircle2D< PointT >::SampleConsensusModelCircle2D | ( | const PointCloudConstPtr & | cloud, |
const std::vector< int > & | indices | ||
) | [inline] |
Constructor for base SampleConsensusModelCircle2D.
[in] | cloud | the input point cloud dataset |
[in] | indices | a vector of point indices to be used from cloud |
Definition at line 84 of file sac_model_circle.h.
pcl::SampleConsensusModelCircle2D< PointT >::SampleConsensusModelCircle2D | ( | const SampleConsensusModelCircle2D< PointT > & | source | ) | [inline] |
Copy constructor.
[in] | source | the model to copy into this |
Definition at line 91 of file sac_model_circle.h.
bool pcl::SampleConsensusModelCircle2D< PointT >::computeModelCoefficients | ( | const std::vector< int > & | samples, |
Eigen::VectorXf & | model_coefficients | ||
) | [virtual] |
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.
[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 66 of file sac_model_circle.hpp.
int pcl::SampleConsensusModelCircle2D< PointT >::countWithinDistance | ( | const Eigen::VectorXf & | model_coefficients, |
const double | threshold | ||
) | [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 |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 164 of file sac_model_circle.hpp.
bool pcl::SampleConsensusModelCircle2D< PointT >::doSamplesVerifyModel | ( | const std::set< int > & | indices, |
const Eigen::VectorXf & | model_coefficients, | ||
const double | threshold | ||
) | [virtual] |
Verify whether a subset of indices verifies the given 2d circle model coefficients.
[in] | indices | the data indices that need to be tested against the 2d circle model |
[in] | model_coefficients | the 2d circle model coefficients |
[in] | threshold | a maximum admissible distance threshold for determining the inliers from the outliers |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 292 of file sac_model_circle.hpp.
void pcl::SampleConsensusModelCircle2D< PointT >::getDistancesToModel | ( | const Eigen::VectorXf & | model_coefficients, |
std::vector< double > & | distances | ||
) | [virtual] |
Compute all distances from the cloud data to a given 2D circle model.
[in] | model_coefficients | the coefficients of a 2D circle model that we need to compute distances to |
[out] | distances | the resultant estimated distances |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 102 of file sac_model_circle.hpp.
pcl::SacModel pcl::SampleConsensusModelCircle2D< PointT >::getModelType | ( | ) | const [inline, virtual] |
Return an unique id for this model (SACMODEL_CIRCLE2D).
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 180 of file sac_model_circle.h.
bool pcl::SampleConsensusModelCircle2D< PointT >::isModelValid | ( | const Eigen::VectorXf & | model_coefficients | ) | [protected, virtual] |
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 318 of file sac_model_circle.hpp.
bool pcl::SampleConsensusModelCircle2D< PointT >::isSampleGood | ( | const std::vector< int > & | samples | ) | const [protected, virtual] |
Check if a sample of indices results in a good sample of points indices.
[in] | samples | the resultant index samples |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 47 of file sac_model_circle.hpp.
SampleConsensusModelCircle2D& pcl::SampleConsensusModelCircle2D< PointT >::operator= | ( | const SampleConsensusModelCircle2D< PointT > & | source | ) | [inline] |
Copy constructor.
[in] | source | the model to copy into this |
Definition at line 101 of file sac_model_circle.h.
void pcl::SampleConsensusModelCircle2D< PointT >::optimizeModelCoefficients | ( | const std::vector< int > & | inliers, |
const Eigen::VectorXf & | model_coefficients, | ||
Eigen::VectorXf & | optimized_coefficients | ||
) | [virtual] |
Recompute the 2d circle coefficients using the given inlier set and return them to the user.
[in] | inliers | the data inliers found as supporting the model |
[in] | model_coefficients | the initial guess for the optimization |
[out] | optimized_coefficients | the resultant recomputed coefficients after non-linear optimization |
Implements pcl::SampleConsensusModel< PointT >.
Definition at line 192 of file sac_model_circle.hpp.
void pcl::SampleConsensusModelCircle2D< PointT >::projectPoints | ( | const std::vector< int > & | inliers, |
const Eigen::VectorXf & | model_coefficients, | ||
PointCloud & | projected_points, | ||
bool | copy_data_fields = true |
||
) | [virtual] |
Create a new point cloud with inliers projected onto the 2d circle model.
[in] | inliers | the data inliers that we want to project on the 2d circle model |
[in] | model_coefficients | the coefficients of a 2d circle 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 225 of file sac_model_circle.hpp.
void pcl::SampleConsensusModelCircle2D< PointT >::selectWithinDistance | ( | const Eigen::VectorXf & | model_coefficients, |
const double | threshold, | ||
std::vector< int > & | inliers | ||
) | [virtual] |
Compute all distances from the cloud data to a given 2D circle model.
[in] | model_coefficients | the coefficients of a 2D circle 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 127 of file sac_model_circle.hpp.
const std::vector<int>* pcl::SampleConsensusModelCircle2D< PointT >::tmp_inliers_ [private] |
Temporary pointer to a list of given indices for optimizeModelCoefficients ()
Definition at line 197 of file sac_model_circle.h.