MR.Const_PointAccumulator Class Reference

Class to accumulate points and make best line / plane approximation Generated from class MR.PointAccumulator. This is the const half of the class. More...

Inheritance diagram for MR.Const_PointAccumulator:

Classes
struct	_Underlying

Public Member Functions
virtual void	Dispose ()
unsafe	Const_PointAccumulator ()
	Constructs an empty (default-constructed) instance.
unsafe	Const_PointAccumulator (MR.Const_PointAccumulator _other)
	Generated from constructor MR.PointAccumulator.PointAccumulator.
	Const_PointAccumulator (PointAccumulator _other)
	Generated from constructor MR.PointAccumulator.PointAccumulator.
unsafe MR.Plane3d	getBestPlane ()
	computes the best approximating plane from the accumulated points Generated from method MR.PointAccumulator.getBestPlane.
unsafe MR.Plane3f	getBestPlanef ()
	Generated from method MR.PointAccumulator.getBestPlanef.
unsafe MR.Line3d	getBestLine ()
	computes the best approximating line from the accumulated points Generated from method MR.PointAccumulator.getBestLine.
unsafe MR.Line3f	getBestLinef ()
	Generated from method MR.PointAccumulator.getBestLinef.
unsafe bool	getCenteredCovarianceEigen (ref MR.Vector3d centroid, ref MR.Matrix3d eigenvectors, ref MR.Vector3d eigenvalues)
	computes centroid and eigenvectors/eigenvalues of the covariance matrix of the accumulated points Generated from method MR.PointAccumulator.getCenteredCovarianceEigen.
unsafe bool	getCenteredCovarianceEigen (ref MR.Vector3f centroid, ref MR.Matrix3f eigenvectors, ref MR.Vector3f eigenvalues)
	Generated from method MR.PointAccumulator.getCenteredCovarianceEigen.
unsafe MR.AffineXf3d	getBasicXf ()
	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 Generated from method MR.PointAccumulator.getBasicXf.
unsafe MR.AffineXf3f	getBasicXf3f ()
	Generated from method MR.PointAccumulator.getBasicXf3f.
unsafe MR.Std.Array_MRAffineXf3d_4	get4BasicXfs ()
	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 Generated from method MR.PointAccumulator.get4BasicXfs.
unsafe MR.Std.Array_MRAffineXf3f_4	get4BasicXfs3f ()
	Generated from method MR.PointAccumulator.get4BasicXfs3f.
unsafe bool	valid ()
	Generated from method MR.PointAccumulator.valid.

Protected Member Functions
virtual unsafe void	Dispose (bool disposing)

Detailed Description

Class to accumulate points and make best line / plane approximation Generated from class MR.PointAccumulator. This is the const half of the class.

Constructor & Destructor Documentation

Const_PointAccumulator() [1/3]

unsafe MR.Const_PointAccumulator.Const_PointAccumulator ( )

inline

Constructs an empty (default-constructed) instance.

Const_PointAccumulator() [2/3]

unsafe MR.Const_PointAccumulator.Const_PointAccumulator ( MR.Const_PointAccumulator _other )

inline

Generated from constructor MR.PointAccumulator.PointAccumulator.

Const_PointAccumulator() [3/3]

MR.Const_PointAccumulator.Const_PointAccumulator ( PointAccumulator _other )

inline

Generated from constructor MR.PointAccumulator.PointAccumulator.

Member Function Documentation

Dispose() [1/2]

virtual void MR.Const_PointAccumulator.Dispose ( )

inlinevirtual

Dispose() [2/2]

virtual unsafe void MR.Const_PointAccumulator.Dispose ( bool disposing )

inlineprotectedvirtual

get4BasicXfs()

unsafe MR.Std.Array_MRAffineXf3d_4 MR.Const_PointAccumulator.get4BasicXfs ( )

inline

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 Generated from method MR.PointAccumulator.get4BasicXfs.

get4BasicXfs3f()

unsafe MR.Std.Array_MRAffineXf3f_4 MR.Const_PointAccumulator.get4BasicXfs3f ( )

inline

Generated from method MR.PointAccumulator.get4BasicXfs3f.

getBasicXf()

unsafe MR.AffineXf3d MR.Const_PointAccumulator.getBasicXf ( )

inline

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 Generated from method MR.PointAccumulator.getBasicXf.

getBasicXf3f()

unsafe MR.AffineXf3f MR.Const_PointAccumulator.getBasicXf3f ( )

inline

Generated from method MR.PointAccumulator.getBasicXf3f.

getBestLine()

unsafe MR.Line3d MR.Const_PointAccumulator.getBestLine ( )

inline

computes the best approximating line from the accumulated points Generated from method MR.PointAccumulator.getBestLine.

getBestLinef()

unsafe MR.Line3f MR.Const_PointAccumulator.getBestLinef ( )

inline

Generated from method MR.PointAccumulator.getBestLinef.

getBestPlane()

unsafe MR.Plane3d MR.Const_PointAccumulator.getBestPlane ( )

inline

computes the best approximating plane from the accumulated points Generated from method MR.PointAccumulator.getBestPlane.

getBestPlanef()

unsafe MR.Plane3f MR.Const_PointAccumulator.getBestPlanef ( )

inline

Generated from method MR.PointAccumulator.getBestPlanef.

getCenteredCovarianceEigen() [1/2]

unsafe bool MR.Const_PointAccumulator.getCenteredCovarianceEigen ( ref MR.Vector3d centroid, ref MR.Matrix3d eigenvectors, ref MR.Vector3d eigenvalues )

inline

computes centroid and eigenvectors/eigenvalues of the covariance matrix of the accumulated points Generated from method MR.PointAccumulator.getCenteredCovarianceEigen.

getCenteredCovarianceEigen() [2/2]

unsafe bool MR.Const_PointAccumulator.getCenteredCovarianceEigen ( ref MR.Vector3f centroid, ref MR.Matrix3f eigenvectors, ref MR.Vector3f eigenvalues )

inline

Generated from method MR.PointAccumulator.getCenteredCovarianceEigen.

valid()

unsafe bool MR.Const_PointAccumulator.valid ( )

inline

Generated from method MR.PointAccumulator.valid.

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

• MRBestFit.cs