Point Cloud Library (PCL)
1.9.1
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Calculates the weighted average and the covariance matrix. More...
#include <pcl/common/vector_average.h>
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VectorAverage () | |
Constructor - dimension gives the size of the vectors to work with. More... | |
~VectorAverage () | |
Destructor. More... | |
void | reset () |
Reset the object to work with a new data set. More... | |
const Eigen::Matrix< real, dimension, 1 > & | getMean () const |
Get the mean of the added vectors. More... | |
const Eigen::Matrix< real, dimension, dimension > & | getCovariance () const |
Get the covariance matrix of the added vectors. More... | |
real | getAccumulatedWeight () const |
Get the summed up weight of all added vectors. More... | |
unsigned int | getNoOfSamples () |
Get the number of added vectors. More... | |
void | add (const Eigen::Matrix< real, dimension, 1 > &sample, real weight=1.0) |
Add a new sample. More... | |
void | doPCA (Eigen::Matrix< real, dimension, 1 > &eigen_values, Eigen::Matrix< real, dimension, 1 > &eigen_vector1, Eigen::Matrix< real, dimension, 1 > &eigen_vector2, Eigen::Matrix< real, dimension, 1 > &eigen_vector3) const |
Do Principal component analysis. More... | |
void | doPCA (Eigen::Matrix< real, dimension, 1 > &eigen_values) const |
Do Principal component analysis. More... | |
void | getEigenVector1 (Eigen::Matrix< real, dimension, 1 > &eigen_vector1) const |
Get the eigenvector corresponding to the smallest eigenvalue. More... | |
template<> | |
void | doPCA (Eigen::Matrix< float, 3, 1 > &eigen_values, Eigen::Matrix< float, 3, 1 > &eigen_vector1, Eigen::Matrix< float, 3, 1 > &eigen_vector2, Eigen::Matrix< float, 3, 1 > &eigen_vector3) const |
template<> | |
void | doPCA (Eigen::Matrix< float, 3, 1 > &eigen_values) const |
template<> | |
void | getEigenVector1 (Eigen::Matrix< float, 3, 1 > &eigen_vector1) const |
template<> | |
void | doPCA (Eigen::Matrix< double, 3, 1 > &eigen_values, Eigen::Matrix< double, 3, 1 > &eigen_vector1, Eigen::Matrix< double, 3, 1 > &eigen_vector2, Eigen::Matrix< double, 3, 1 > &eigen_vector3) const |
template<> | |
void | doPCA (Eigen::Matrix< double, 3, 1 > &eigen_values) const |
template<> | |
void | getEigenVector1 (Eigen::Matrix< double, 3, 1 > &eigen_vector1) const |
Protected Attributes | |
unsigned int | noOfSamples_ |
real | accumulatedWeight_ |
Eigen::Matrix< real, dimension, 1 > | mean_ |
Eigen::Matrix< real, dimension, dimension > | covariance_ |
Calculates the weighted average and the covariance matrix.
A class to calculate the weighted average and the covariance matrix of a set of vectors with given weights. The original data is not saved. Mean and covariance are calculated iteratively.
Definition at line 53 of file vector_average.h.
pcl::VectorAverage< real, dimension >::VectorAverage | ( | ) |
Constructor - dimension gives the size of the vectors to work with.
Definition at line 44 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::reset().
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Destructor.
Definition at line 60 of file vector_average.h.
References pcl::VectorAverage< real, dimension >::reset().
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Add a new sample.
Definition at line 62 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::accumulatedWeight_, pcl::VectorAverage< real, dimension >::covariance_, pcl::VectorAverage< real, dimension >::mean_, and pcl::VectorAverage< real, dimension >::noOfSamples_.
Referenced by pcl::RangeImageBorderExtractor::calculateMainPrincipalCurvature(), pcl::RangeImage::getCurvature(), pcl::VectorAverage< real, dimension >::getNoOfSamples(), pcl::RangeImage::getNormal(), pcl::RangeImage::getSurfaceInformation(), pcl::GridProjection< PointNT >::getVectorAtPoint(), and pcl::GridProjection< PointNT >::getVectorAtPointKNN().
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Do Principal component analysis.
Definition at line 83 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::covariance_.
Referenced by pcl::RangeImageBorderExtractor::calculateMainPrincipalCurvature(), pcl::RangeImage::getCurvature(), pcl::VectorAverage< real, dimension >::getNoOfSamples(), pcl::RangeImage::getNormal(), and pcl::RangeImage::getSurfaceInformation().
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Do Principal component analysis.
Definition at line 107 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::covariance_.
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Definition at line 146 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::covariance_, and pcl::eigen33().
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Definition at line 157 of file vector_average.hpp.
References pcl::computeRoots(), and pcl::VectorAverage< real, dimension >::covariance_.
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Definition at line 176 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::covariance_, and pcl::eigen33().
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Definition at line 187 of file vector_average.hpp.
References pcl::computeRoots(), and pcl::VectorAverage< real, dimension >::covariance_.
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Get the summed up weight of all added vectors.
Definition at line 77 of file vector_average.h.
References pcl::VectorAverage< real, dimension >::accumulatedWeight_.
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Get the covariance matrix of the added vectors.
Definition at line 73 of file vector_average.h.
References pcl::VectorAverage< real, dimension >::covariance_.
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Get the eigenvector corresponding to the smallest eigenvalue.
Definition at line 120 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::covariance_.
Referenced by pcl::VectorAverage< real, dimension >::getNoOfSamples(), and pcl::GridProjection< PointNT >::getVectorAtPointKNN().
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Definition at line 163 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::covariance_, and pcl::eigen33().
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Definition at line 193 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::covariance_, and pcl::eigen33().
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Get the mean of the added vectors.
Definition at line 69 of file vector_average.h.
References pcl::VectorAverage< real, dimension >::mean_.
Referenced by pcl::RangeImage::getNormal(), pcl::RangeImage::getSurfaceInformation(), and pcl::GridProjection< PointNT >::getVectorAtPoint().
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Get the number of added vectors.
Definition at line 81 of file vector_average.h.
References pcl::VectorAverage< real, dimension >::add(), pcl::VectorAverage< real, dimension >::doPCA(), pcl::VectorAverage< real, dimension >::getEigenVector1(), and pcl::VectorAverage< real, dimension >::noOfSamples_.
Referenced by pcl::RangeImageBorderExtractor::calculateMainPrincipalCurvature(), pcl::RangeImage::getCurvature(), pcl::RangeImage::getNormal(), and pcl::RangeImage::getSurfaceInformation().
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Reset the object to work with a new data set.
Definition at line 53 of file vector_average.hpp.
References pcl::VectorAverage< real, dimension >::accumulatedWeight_, pcl::VectorAverage< real, dimension >::covariance_, pcl::VectorAverage< real, dimension >::mean_, and pcl::VectorAverage< real, dimension >::noOfSamples_.
Referenced by pcl::VectorAverage< real, dimension >::VectorAverage(), and pcl::VectorAverage< real, dimension >::~VectorAverage().
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Definition at line 109 of file vector_average.h.
Referenced by pcl::VectorAverage< real, dimension >::add(), pcl::VectorAverage< real, dimension >::getAccumulatedWeight(), and pcl::VectorAverage< real, dimension >::reset().
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Definition at line 111 of file vector_average.h.
Referenced by pcl::VectorAverage< real, dimension >::add(), pcl::VectorAverage< real, dimension >::doPCA(), pcl::VectorAverage< real, dimension >::getCovariance(), pcl::VectorAverage< real, dimension >::getEigenVector1(), and pcl::VectorAverage< real, dimension >::reset().
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Definition at line 110 of file vector_average.h.
Referenced by pcl::VectorAverage< real, dimension >::add(), pcl::VectorAverage< real, dimension >::getMean(), and pcl::VectorAverage< real, dimension >::reset().
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Definition at line 108 of file vector_average.h.
Referenced by pcl::VectorAverage< real, dimension >::add(), pcl::VectorAverage< real, dimension >::getNoOfSamples(), and pcl::VectorAverage< real, dimension >::reset().