Point Cloud Library (PCL)  1.9.1-dev
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pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex > Class Template Reference

Statistics estimator for regression trees which optimizes information gain and pose parameters error. More...

#include <pcl/recognition/face_detection/rf_face_utils.h>

+ Inheritance diagram for pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >:

Public Member Functions

 PoseClassRegressionVarianceStatsEstimator (BranchEstimator *branch_estimator)
 Constructor. More...
 
virtual ~PoseClassRegressionVarianceStatsEstimator ()
 Destructor. More...
 
size_t getNumOfBranches () const
 Returns the number of branches the corresponding tree has. More...
 
LabelDataType getLabelOfNode (NodeType &node) const
 Returns the label of the specified node. More...
 
unsigned int computeMeanAndCovarianceOffset (DataSet &data_set, std::vector< ExampleIndex > &examples, Eigen::Matrix3d &covariance_matrix, Eigen::Vector3d &centroid) const
 Computes the covariance matrix for translation offsets. More...
 
unsigned int computeMeanAndCovarianceAngles (DataSet &data_set, std::vector< ExampleIndex > &examples, Eigen::Matrix3d &covariance_matrix, Eigen::Vector3d &centroid) const
 Computes the covariance matrix for rotation values. More...
 
float computeInformationGain (DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< LabelDataType > &label_data, std::vector< float > &results, std::vector< unsigned char > &flags, const float threshold) const
 Computes the information gain obtained by the specified threshold. More...
 
void computeBranchIndices (std::vector< float > &results, std::vector< unsigned char > &flags, const float threshold, std::vector< unsigned char > &branch_indices) const
 Computes the branch indices for all supplied results. More...
 
void computeBranchIndex (const float result, const unsigned char flag, const float threshold, unsigned char &branch_index) const
 Computes the branch index for the specified result. More...
 
void computeAndSetNodeStats (DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< LabelDataType > &label_data, NodeType &node) const
 Computes and sets the statistics for a node. More...
 
void generateCodeForBranchIndexComputation (NodeType &, std::ostream &stream) const
 Generates code for branch index computation. More...
 
void generateCodeForOutput (NodeType &, std::ostream &stream) const
 Generates code for label output. More...
 
- Public Member Functions inherited from pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >
virtual ~StatsEstimator ()
 Destructor. More...
 

Detailed Description

template<class LabelDataType, class NodeType, class DataSet, class ExampleIndex>
class pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >

Statistics estimator for regression trees which optimizes information gain and pose parameters error.

Definition at line 196 of file rf_face_utils.h.

Constructor & Destructor Documentation

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::PoseClassRegressionVarianceStatsEstimator ( BranchEstimator branch_estimator)
inline

Constructor.

Definition at line 201 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
virtual pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::~PoseClassRegressionVarianceStatsEstimator ( )
inlinevirtual

Destructor.

Definition at line 207 of file rf_face_utils.h.

Member Function Documentation

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
void pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeAndSetNodeStats ( DataSet &  data_set,
std::vector< ExampleIndex > &  examples,
std::vector< LabelDataType > &  label_data,
NodeType &  node 
) const
inlinevirtual

Computes and sets the statistics for a node.

Parameters
[in]data_setThe data set which is evaluated.
[in]examplesThe examples which define which parts of the data set are used for evaluation.
[in]label_dataThe label_data corresponding to the examples.
[out]nodeThe destination node for the statistics.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 475 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
void pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndex ( const float  result,
const unsigned char  flag,
const float  threshold,
unsigned char &  branch_index 
) const
inlinevirtual

Computes the branch index for the specified result.

Parameters
[in]resultThe result the branch index will be computed for.
[in]flagThe flag corresponding to the specified result.
[in]thresholdThe threshold used to compute the branch index.
[out]branch_indexThe destination for the computed branch index.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 464 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
void pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndices ( std::vector< float > &  results,
std::vector< unsigned char > &  flags,
const float  threshold,
std::vector< unsigned char > &  branch_indices 
) const
inlinevirtual

Computes the branch indices for all supplied results.

Parameters
[in]resultsThe results the branch indices will be computed for.
[in]flagsThe flags corresponding to the specified results.
[in]thresholdThe threshold used to compute the branch indices.
[out]branch_indicesThe destination for the computed branch indices.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 444 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
float pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeInformationGain ( DataSet &  data_set,
std::vector< ExampleIndex > &  examples,
std::vector< LabelDataType > &  label_data,
std::vector< float > &  results,
std::vector< unsigned char > &  flags,
const float  threshold 
) const
inlinevirtual

Computes the information gain obtained by the specified threshold.

Parameters
[in]data_setThe data set corresponding to the supplied result data.
[in]examplesThe examples used for extracting the supplied result data.
[in]label_dataThe label data corresponding to the specified examples.
[in]resultsThe results computed using the specified examples.
[in]flagsThe flags corresponding to the results.
[in]thresholdThe threshold for which the information gain is computed.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 321 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
unsigned int pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeMeanAndCovarianceAngles ( DataSet &  data_set,
std::vector< ExampleIndex > &  examples,
Eigen::Matrix3d &  covariance_matrix,
Eigen::Vector3d &  centroid 
) const
inline

Computes the covariance matrix for rotation values.

Parameters
[in]data_setThe corresponding data set.
[in]examplesA set of examples from the dataset.
[out]covariance_matrixThe covariance matrix.
[out]centroidThe mean of the data.

Definition at line 275 of file rf_face_utils.h.

References pcl::face_detection::TrainingExample::rot_.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
unsigned int pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeMeanAndCovarianceOffset ( DataSet &  data_set,
std::vector< ExampleIndex > &  examples,
Eigen::Matrix3d &  covariance_matrix,
Eigen::Vector3d &  centroid 
) const
inline

Computes the covariance matrix for translation offsets.

Parameters
[in]data_setThe corresponding data set.
[in]examplesA set of examples from the dataset.
[out]covariance_matrixThe covariance matrix.
[out]centroidThe mean of the data.

Definition at line 231 of file rf_face_utils.h.

References pcl::face_detection::TrainingExample::trans_.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
void pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::generateCodeForBranchIndexComputation ( NodeType &  ,
std::ostream &  stream 
) const
inlinevirtual

Generates code for branch index computation.

Parameters
[out]streamThe destination for the generated code.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 518 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
void pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::generateCodeForOutput ( NodeType &  ,
std::ostream &  stream 
) const
inlinevirtual

Generates code for label output.

Parameters
[out]streamThe destination for the generated code.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 527 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
LabelDataType pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getLabelOfNode ( NodeType &  node) const
inlinevirtual

Returns the label of the specified node.

Parameters
[in]nodeThe node which label is returned.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 220 of file rf_face_utils.h.

template<class LabelDataType , class NodeType , class DataSet , class ExampleIndex >
size_t pcl::face_detection::PoseClassRegressionVarianceStatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getNumOfBranches ( ) const
inlinevirtual

Returns the number of branches the corresponding tree has.

Implements pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >.

Definition at line 212 of file rf_face_utils.h.


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