lti::fMatrixEstimatorBase::parameters Class Reference

The parameters for the class fMatrixEstimatorBase. More...

#include <ltiFMatrixEstimatorBase.h>

Inheritance diagram for lti::fMatrixEstimatorBase::parameters:

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Collaboration diagram for lti::fMatrixEstimatorBase::parameters:

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List of all members.

Public Types
enum	eRank2Type
enum	eDistanceType
Public Member Functions
	parameters ()
	parameters (const parameters &other)
	~parameters ()
const char *	getTypeName () const
parameters &	copy (const parameters &other)
parameters &	operator= (const parameters &other)
virtual functor::parameters *	clone () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Public Attributes
eRank2Type	rank2Enforcement
eDistanceType	distanceMeasure

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Detailed Description

The parameters for the class fMatrixEstimatorBase.

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Member Enumeration Documentation

enum lti::fMatrixEstimatorBase::parameters::eDistanceType

The distance measure to be used when computing the residual: Sampson or epipolar distance.

enum lti::fMatrixEstimatorBase::parameters::eRank2Type

The rank 2 constraint may be enforced by the frobenius norm or T-parameterization.

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Constructor & Destructor Documentation

lti::fMatrixEstimatorBase::parameters::parameters

(

)

Default constructor.

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

lti::fMatrixEstimatorBase::parameters::parameters

(

const parameters &

other

)

Copy constructor.

Parameters:

other

the parameters object to be copied

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

lti::fMatrixEstimatorBase::parameters::~parameters

(

)

[virtual]

Destructor.

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

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Member Function Documentation

virtual functor::parameters* lti::fMatrixEstimatorBase::parameters::clone

(

)

const [virtual]

Returns a pointer to a clone of the parameters.

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

parameters& lti::fMatrixEstimatorBase::parameters::copy

(

const parameters &

other

)

Copy the contents of a parameters object.

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

const char* lti::fMatrixEstimatorBase::parameters::getTypeName

(

)

const [virtual]

Returns name of this type.

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

parameters& lti::fMatrixEstimatorBase::parameters::operator=

(

const parameters &

other

)

Copy the contents of a parameters object.

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

virtual bool lti::fMatrixEstimatorBase::parameters::read	(	ioHandler &	handler,
		const bool	complete = true
	)			[virtual]

Read the parameters from the given ioHandler.

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

virtual bool lti::fMatrixEstimatorBase::parameters::write	(	ioHandler &	handler,
		const bool	complete = true
	)			const [virtual]

Write the parameters in the given ioHandler.

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::transformEstimator::parameters.

Reimplemented in lti::fMatrixEstimator::parameters.

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Member Data Documentation

eDistanceType lti::fMatrixEstimatorBase::parameters::distanceMeasure

The distance measure to be used when computing the residual.

The Sampson distance is reported to be superior when iteratively refining the fundamental matrix (e.g. Hartley, Zisserman: 3D Computer Vision), whereas the epipolar distance is equivalent to the residual. Default: Epipolar.

eRank2Type lti::fMatrixEstimatorBase::parameters::rank2Enforcement

Several ways exist to enforce the rank 2 constraint.

E.g. the fundamental matrix may be replaced by the closest fundamental matrix under the frobenius norm. A different approach is to replace one row and one column by a linear combination of the other two. This is called T-parameterization. The frobenius norm is computational more efficient whereas T-parameterization is reported to produce more accurate results, e.g. when combined with a maximum likelyhood estimator. But with an inaccurate fmatrix estimate the Frobenius norm works better. Default: Frobenius.

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

• ltiFMatrixEstimatorBase.h