MR::PointAccumulator Class Reference

Class to accumulate points and make best line / plane approximation. More...

#include <MRMesh/MRBestFit.h>

Public Member Functions
void	addPoint (const Vector3d &pt)
void	addPoint (const Vector3d &pt, double weight)
void	addPoint (const Vector3f &pt)
void	addPoint (const Vector3f &pt, float weight)
Plane3d	getBestPlane () const
	computes the best approximating plane from the accumulated points
Plane3f	getBestPlanef () const
Line3d	getBestLine () const
	computes the best approximating line from the accumulated points
Line3f	getBestLinef () const
bool	getCenteredCovarianceEigen (Vector3d &centroid, Matrix3d &eigenvectors, Vector3d &eigenvalues) const
	computes centroid and eigenvectors/eigenvalues of the covariance matrix of the accumulated points
bool	getCenteredCovarianceEigen (Vector3f &centroid, Matrix3f &eigenvectors, Vector3f &eigenvalues) const
AffineXf3d	getBasicXf () const
AffineXf3f	getBasicXf3f () const
std::array< AffineXf3d, 4 >	get4BasicXfs () const
std::array< AffineXf3f, 4 >	get4BasicXfs3f () const
bool	valid () const

Detailed Description

Class to accumulate points and make best line / plane approximation.

Member Function Documentation

addPoint() [1/4]

void MR::PointAccumulator::addPoint

(

const Vector3d &

pt

)

addPoint() [2/4]

void MR::PointAccumulator::addPoint	(	const Vector3d &	pt,
		double	weight )

addPoint() [3/4]

void MR::PointAccumulator::addPoint ( const Vector3f & pt )

inline

addPoint() [4/4]

void MR::PointAccumulator::addPoint ( const Vector3f & pt, float weight )

inline

get4BasicXfs()

std::array< AffineXf3d, 4 > MR::PointAccumulator::get4BasicXfs

(

)

const

returns 4 transformations, each maps (0,0,0) into point centroid, and maps vectors (1,0,0), (0,1,0), (0,0,1) into +/- first, +/- second, +/- third eigenvectors (forming positive reference frame) corresponding to ascending eigenvalues

get4BasicXfs3f()

std::array< AffineXf3f, 4 > MR::PointAccumulator::get4BasicXfs3f

(

)

const

getBasicXf()

AffineXf3d MR::PointAccumulator::getBasicXf

(

)

const

returns the transformation that maps (0,0,0) into point centroid, and maps vectors (1,0,0), (0,1,0), (0,0,1) into first, second, third eigenvectors corresponding to ascending eigenvalues

getBasicXf3f()

AffineXf3f MR::PointAccumulator::getBasicXf3f ( ) const

inline

getBestLine()

Line3d MR::PointAccumulator::getBestLine

(

)

const

computes the best approximating line from the accumulated points

getBestLinef()

Line3f MR::PointAccumulator::getBestLinef ( ) const

inline

getBestPlane()

Plane3d MR::PointAccumulator::getBestPlane

(

)

const

computes the best approximating plane from the accumulated points

getBestPlanef()

Plane3f MR::PointAccumulator::getBestPlanef ( ) const

inline

getCenteredCovarianceEigen() [1/2]

bool MR::PointAccumulator::getCenteredCovarianceEigen	(	Vector3d &	centroid,
		Matrix3d &	eigenvectors,
		Vector3d &	eigenvalues ) const

computes centroid and eigenvectors/eigenvalues of the covariance matrix of the accumulated points

getCenteredCovarianceEigen() [2/2]

bool MR::PointAccumulator::getCenteredCovarianceEigen	(	Vector3f &	centroid,
		Matrix3f &	eigenvectors,
		Vector3f &	eigenvalues ) const

valid()

bool MR::PointAccumulator::valid ( ) const

inline

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

• MRMesh/MRBestFit.h