icl::math::LeastSquareModelFitting2D Class Reference

Direct Least Square Fitting specialization for 2D input data. More...

#include <LeastSquareModelFitting2D.h>

Inheritance diagram for icl::math::LeastSquareModelFitting2D:

List of all members.

Public Member Functions
	LeastSquareModelFitting2D ()
	Default constructor for creating dummy instances.
	LeastSquareModelFitting2D (int modelDim, DesignMatrixGen gen, DynMatrix< double > *constraintMatrix=0)
	Constructor with given parameters.
std::vector< double >	fit (const std::vector< utils::Point32f > &points)
	fits the model to the given data points and returns optimal parameter set
icl64f	getError (const std::vector< double > &model, const utils::Point32f &p)
	computes the error for a given data point
Static Public Member Functions
static void	line_gen (const utils::Point32f &p, double *d)
	DesignMatrixGenerator for the 3-parameter line model.
static void	circle_gen (const utils::Point32f &p, double *d)
	DesignMatrixGenerator for the 4 parameter circle model.
static void	restr_ellipse_gen (const utils::Point32f &p, double *d)
	DesignMatrixGenerator for the 5 parameter restricted ellipse model.
static void	ellipse_gen (const utils::Point32f &p, double *d)
	DesignMatrixGenerator for the 6 parameter general ellipse model.
Private Types
typedef LeastSquareModelFitting < double, utils::Point32f >	Super
	super type

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Detailed Description

Direct Least Square Fitting specialization for 2D input data.

Specialized least square model fitting for 2D data. Also some special desing matrix creation methods are provided

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Member Typedef Documentation

typedef LeastSquareModelFitting<double, utils::Point32f> icl::math::LeastSquareModelFitting2D::Super [private]

super type

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Constructor & Destructor Documentation

icl::math::LeastSquareModelFitting2D::LeastSquareModelFitting2D

(

)

[inline]

Default constructor for creating dummy instances.

icl::math::LeastSquareModelFitting2D::LeastSquareModelFitting2D	(	int	modelDim,
		DesignMatrixGen	gen,
		DynMatrix< double > *	constraintMatrix = 0
	)		[inline]

Constructor with given parameters.

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Member Function Documentation

static void icl::math::LeastSquareModelFitting2D::circle_gen	(	const utils::Point32f &	p,
		double *	d
	)		[inline, static]

DesignMatrixGenerator for the 4 parameter circle model.

See also:

LeastSquareModelFitting

static void icl::math::LeastSquareModelFitting2D::ellipse_gen	(	const utils::Point32f &	p,
		double *	d
	)		[inline, static]

DesignMatrixGenerator for the 6 parameter general ellipse model.

See also:

LeastSquareModelFitting

std::vector<double> icl::math::LeastSquareModelFitting2D::fit

(

const std::vector< utils::Point32f > &

points

)

[inline]

fits the model to the given data points and returns optimal parameter set

Internally we use a workaround when the matrix inversion fails due to stability problems. If the standard matrix inversion fails, a SVD-based inversion is used

create design matrix D

create the scatter matrix S

use eigen vector for the largest eigen value

Reimplemented from icl::math::LeastSquareModelFitting< double, utils::Point32f >.

icl64f icl::math::LeastSquareModelFitting2D::getError	(	const std::vector< double > &	model,
		const utils::Point32f &	p
	)		[inline]

computes the error for a given data point

if model is 0, the last fitted model is used

Reimplemented from icl::math::LeastSquareModelFitting< double, utils::Point32f >.

static void icl::math::LeastSquareModelFitting2D::line_gen	(	const utils::Point32f &	p,
		double *	d
	)		[inline, static]

DesignMatrixGenerator for the 3-parameter line model.

See also:

LeastSquareModelFitting

static void icl::math::LeastSquareModelFitting2D::restr_ellipse_gen	(	const utils::Point32f &	p,
		double *	d
	)		[inline, static]

DesignMatrixGenerator for the 5 parameter restricted ellipse model.

See also:

LeastSquareModelFitting

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

• /home/jenkins/workspace/icl-manual-trunk/icl-manual/ICLMath/src/ICLMath/LeastSquareModelFitting2D.h