lti::gradientASM::parameters Class Reference

the parameters for the class gradientASM More...

#include <ltiGradientASM.h>

Inheritance diagram for lti::gradientASM::parameters:

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Collaboration diagram for lti::gradientASM::parameters:

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List of all members.

Public Types
enum	eWeightingKernel
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
int	iterations
int	searchExtent
bool	gradientValueAsReliability
eWeightingKernel	weightingKernel

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Detailed Description

the parameters for the class gradientASM

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Member Enumeration Documentation

enum lti::gradientASM::parameters::eWeightingKernel

Kernel types for additional weigthing of feature points by distance from border:.

• useNoKernel: points are not weighted
• useGaussKernel: gradient values of searched points are weighted with a gaussian kernel, so closer points are preferred
• useTriangularKernel: gradient values of searched points are weighted with a triangular kernel

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Constructor & Destructor Documentation

lti::gradientASM::parameters::parameters

(

)

default constructor

Reimplemented from lti::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

lti::gradientASM::parameters::parameters

(

const parameters &

other

)

copy constructor

Parameters:

other

the parameters object to be copied

Reimplemented from lti::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

lti::gradientASM::parameters::~parameters

(

)

[virtual]

destructor

Reimplemented from lti::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

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Member Function Documentation

virtual functor::parameters* lti::gradientASM::parameters::clone

(

)

const [virtual]

returns a pointer to a clone of the parameters

Reimplemented from lti::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

parameters& lti::gradientASM::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::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

const char* lti::gradientASM::parameters::getTypeName

(

)

const [virtual]

returns name of this type

Reimplemented from lti::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

parameters& lti::gradientASM::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::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

virtual bool lti::gradientASM::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::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

virtual bool lti::gradientASM::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::activeShapeModel::parameters.

Reimplemented in lti::skinASM::parameters.

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Member Data Documentation

bool lti::gradientASM::parameters::gradientValueAsReliability

use value in the channel as reliability of a point in the shape default value: false

int lti::gradientASM::parameters::iterations

defines the number of iterations for alignment.

default is 3.

int lti::gradientASM::parameters::searchExtent

defines the radius in which the next border is searched (along the normal of a point).

default is 5.

eWeightingKernel lti::gradientASM::parameters::weightingKernel

If multiple feature points along the normal of the border are found, generally the the Found feature points are weighted for weighting kernel for gradient values default is a triangular kernel.

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

• ltiGradientASM.h