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lti::activeShapeModel::parameters Class Reference

the parameters for the class activeShapeModel More...

#include <ltiActiveShapeModel.h>

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List of all members.

Public Member Functions

 parameters ()
 parameters (const parameters &other)
 ~parameters ()
const char * getTypeName () const
parameterscopy (const parameters &other)
parametersoperator= (const parameters &other)
virtual functor::parametersclone () const
virtual bool write (ioHandler &handler, const bool complete=true) const
virtual bool read (ioHandler &handler, const bool complete=true)

Public Attributes

pointDistributionModel model
double varianceCoefficient
bool reliabilityAsWeightingFactor

Detailed Description

the parameters for the class activeShapeModel


Constructor & Destructor Documentation

lti::activeShapeModel::parameters::parameters  ) 
 

default constructor

Reimplemented from lti::functor::parameters.

Reimplemented in lti::gradientASM::parameters, and lti::skinASM::parameters.

lti::activeShapeModel::parameters::parameters const parameters other  ) 
 

copy constructor

Parameters:
other the parameters object to be copied

lti::activeShapeModel::parameters::~parameters  )  [virtual]
 

destructor

Reimplemented from lti::functor::parameters.

Reimplemented in lti::gradientASM::parameters, and lti::skinASM::parameters.


Member Function Documentation

virtual functor::parameters* lti::activeShapeModel::parameters::clone  )  const [virtual]
 

returns a pointer to a clone of the parameters

Implements lti::functor::parameters.

Reimplemented in lti::gradientASM::parameters, and lti::skinASM::parameters.

parameters& lti::activeShapeModel::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

const char* lti::activeShapeModel::parameters::getTypeName  )  const [virtual]
 

returns name of this type

Reimplemented from lti::functor::parameters.

Reimplemented in lti::gradientASM::parameters, and lti::skinASM::parameters.

parameters& lti::activeShapeModel::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

virtual bool lti::activeShapeModel::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::functor::parameters.

Reimplemented in lti::gradientASM::parameters, and lti::skinASM::parameters.

virtual bool lti::activeShapeModel::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::functor::parameters.

Reimplemented in lti::gradientASM::parameters, and lti::skinASM::parameters.


Member Data Documentation

pointDistributionModel lti::activeShapeModel::parameters::model
 

The PDM (pointDistributionModel), that regularizes the deformation of an ASM.

bool lti::activeShapeModel::parameters::reliabilityAsWeightingFactor
 

Weight points by point reliabilities before correcting the shape.

I.e. unreliable points are moved towards the mean shape. Thus if true, then use

w = (eigenVectorMatrix)^T * ((shape - meanShape) * reliabilities)

instead of

w = (eigenVectorMatrix)^T * (shape - meanShape)

By default this is set to false. Reliability values are then only considered for the geometric transformations (shift, rotate, scale).

double lti::activeShapeModel::parameters::varianceCoefficient
 

Defines the limit for valid shapes in eigenspace.

The dimensions, that exceede the limit given by varianceCoefficient*eigenvalue , where eigenvalue is the corresponding variance, are set to 0.0 .

Default value is 3.0


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