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IncrementalCovarianceMatrix< MatrixT > Class Template Reference

#include <VisionX/components/pointcloud_processor/EfficientRANSACPrimitiveExtractor/EfficientRANSAC/GfxTL/Covariance.h>

Public Types

typedef MatrixT MatrixType
 
typedef VectorXD< MatrixT::Rows, ScalarType > PointType
 
typedef MatrixT::ScalarType ScalarType
 

Public Member Functions

template<class PointT >
void Add (const PointT &p)
 
template<class WeightT , class PointT >
void Add (WeightT w, const PointT &p)
 
 IncrementalCovarianceMatrix ()
 
void Matrix (MatrixT *m) const
 
void Mean (PointType *mean) const
 
void MeanAndMatrix (PointType *mean, MatrixT *m) const
 
void Reset ()
 

Detailed Description

template<class MatrixT>
class GfxTL::IncrementalCovarianceMatrix< MatrixT >

Definition at line 10 of file Covariance.h.

Member Typedef Documentation

◆ MatrixType

typedef MatrixT MatrixType

Definition at line 14 of file Covariance.h.

◆ PointType

typedef VectorXD< MatrixT::Rows, ScalarType > PointType

Definition at line 15 of file Covariance.h.

◆ ScalarType

typedef MatrixT::ScalarType ScalarType

Definition at line 13 of file Covariance.h.

Constructor & Destructor Documentation

◆ IncrementalCovarianceMatrix()

IncrementalCovarianceMatrix ( )
inline

Definition at line 16 of file Covariance.h.

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Member Function Documentation

◆ Add() [1/2]

void Add ( const PointT &  p)
inline

Definition at line 24 of file Covariance.h.

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◆ Add() [2/2]

void Add ( WeightT  w,
const PointT &  p 
)
inline

Definition at line 30 of file Covariance.h.

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◆ Matrix()

void Matrix ( MatrixT *  m) const
inline

Definition at line 40 of file Covariance.h.

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◆ Mean()

void Mean ( PointType *  mean) const
inline

Definition at line 49 of file Covariance.h.

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◆ MeanAndMatrix()

void MeanAndMatrix ( PointType *  mean,
MatrixT *  m 
) const
inline

Definition at line 54 of file Covariance.h.

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◆ Reset()

void Reset ( )
inline

Definition at line 60 of file Covariance.h.

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