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

lti::axOGDFeature::parameters Class Reference

The parameters for the class axOGDFeature. More...

#include <ltiAxOGDFeature.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

bool gaussian
int windowSize
double windowVariance
double ogdVariance
bool voices
int ogdSize
int ogdOrder
int levels
bool considerPhase
bool computeEdgeOrientation

Detailed Description

The parameters for the class axOGDFeature.


Constructor & Destructor Documentation

lti::axOGDFeature::parameters::parameters (  ) 

Default constructor.

Reimplemented from lti::globalFeatureExtractor::parameters.

lti::axOGDFeature::parameters::parameters ( const parameters other  ) 

Copy constructor.

Parameters:
other the parameters object to be copied

Reimplemented from lti::globalFeatureExtractor::parameters.

lti::axOGDFeature::parameters::~parameters (  )  [virtual]

Destructor.

Reimplemented from lti::globalFeatureExtractor::parameters.


Member Function Documentation

virtual functor::parameters* lti::axOGDFeature::parameters::clone (  )  const [virtual]

Returns a pointer to a clone of the parameters.

Reimplemented from lti::globalFeatureExtractor::parameters.

parameters& lti::axOGDFeature::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::globalFeatureExtractor::parameters.

const char* lti::axOGDFeature::parameters::getTypeName (  )  const [virtual]

Returns name of this type.

Reimplemented from lti::globalFeatureExtractor::parameters.

parameters& lti::axOGDFeature::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::localFeatureExtractor::parameters.

virtual bool lti::axOGDFeature::parameters::read ( ioHandler handler,
const bool  complete = true 
) [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::localFeatureExtractor::parameters.

virtual bool lti::axOGDFeature::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::localFeatureExtractor::parameters.


Member Data Documentation

If true, the angles in the thetaX channels will be fixed to be perpendicular to the edges.

If false, these angles will be keeped to represent the phase of the energy components as described in the original paper.

Note that this parameter only changes the content of the channels thetaX returned by apply(const channel&,channel&,channel&) and apply(const channel&,channel&,channel&,channel&,channel&) methods.

Default value: true

If true, the feature vector will contain also phase information which is NOT rotation invariant.

Default: false

Use Gaussian kernel.

If gaussian is true, for the local features a gaussian kernel is used, with the given size (windowSize) and variance. If false, a square kernel is used, with the given windowSize. Default: true

Number of levels used.

Default 4

Order of the derivative being used.

The valid range by now is 1 or 2. Default: 2

Size of the ODG filter kernels used.

Default: 13

Variance of the base gaussian used in the OGDs Default: 2.0.

Specify if a second set of levels should be generated, using a standard deviation equal to the one of the original set multiplied with a factor sqrt(2).

This allows a better resolution of the "resolution"-axis. Default: true

Window size for the extraction of local features.

This is the size of the gaussian kernel is "gaussian" is true, or the size of the square window, if a faster square kernel is chosen. Default : 13 (13x13 window)

If "gaussian" is true, this value gives the variance to be used.

Default: -1 (i.e. use default variance for the given windowSize


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

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