LTI-Lib latest version v1.9 - last update 10 Apr 2010

lti::activeShapeModel::parameters Class Reference

the parameters for the class activeShapeModel More...

#include <ltiActiveShapeModel.h>

Inheritance diagram for lti::activeShapeModel::parameters:
Inheritance graph
[legend]
Collaboration diagram for lti::activeShapeModel::parameters:
Collaboration graph
[legend]

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

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

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

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

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

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

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

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

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).

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:

Generated on Sat Apr 10 15:27:01 2010 for LTI-Lib by Doxygen 1.6.1