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

lti::axLocalRegions::parameters Class Reference

the parameters for the class axLocalRegions More...

#include <ltiAxLocalRegions.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

double orientationWindowFactor
int binsInOrientationHistogram
int firstLevel
int lastLevel
vector< float > saliencyThreshold
int firstMaximumFilterSize
float maximumFilterAdaption

Detailed Description

the parameters for the class axLocalRegions


Constructor & Destructor Documentation

lti::axLocalRegions::parameters::parameters (  ) 

default constructor

Reimplemented from lti::transform::parameters.

lti::axLocalRegions::parameters::parameters ( const parameters other  ) 

copy constructor

Parameters:
other the parameters object to be copied

Reimplemented from lti::transform::parameters.

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

destructor

Reimplemented from lti::functor::parameters.


Member Function Documentation

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

returns a pointer to a clone of the parameters

Reimplemented from lti::transform::parameters.

parameters& lti::axLocalRegions::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::transform::parameters.

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

returns name of this type

Reimplemented from lti::transform::parameters.

parameters& lti::axLocalRegions::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::axLocalRegions::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.

virtual bool lti::axLocalRegions::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.


Member Data Documentation

Number of bins used in the orientation histogram.

Default value 32

first level to consider.

Must be greater 0 and smaller or equal than lastLevel.

Default: 2

To detect the local maxima, a lti::maximumFilter is used.

The size of the kernel used for the firstLevel is the one given here. It should be an odd number.

Default value: 5

last level to consider.

Must be greater or equal than firstLevel

Default: 6

The size of the used kernel can be reduced for each higher level in the pyramid.

This value should be less or equal 1.0. Internally, the kernel value used will be always rounded to an odd integer number greater or equal 3.

Default value: 1.0, i.e. do not change the filter size.

The gaussian used as window for the orientation histograms will have a std.

deviation equal to this factor multiplied with the std. deviation of the location scale.

Default value: 3

Saliency threshold values per level.

The elements of the vector should be between 0 and 1. The element of the vector with the same index as a any given level of the internally computed pyramid will be multiplied with the maximum value in that level. Only those locations which surpass this value are then considered as relevant and inserted in the locations list. The size of the vector should be at least lastLevel+1. Otherwise, the last value will be taken for all the remaining levels.

Default value: vector of size 1 with the value 0.1,


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

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