This generator, instead of exhaustive, use a Random sampling approach. More...

Public Types
typedef HaarFeature	FeatureType

Public Types inherited from FeatureGenerator< Feature >
typedef Feature	FeatureType
	The feature type generate by this generator.

Public Member Functions
	RandomFeatureGenerator (const char *pattern, int nFeat)

unsigned int	Count () const
	return the count of feature available

bool	Next (HaarFeature &out)

void	Reset ()
	reset any interal counters

Public Member Functions inherited from BaseHaarFeatureGenerator
	BaseHaarFeatureGenerator (const char *pattern)

void	SetGeometry (int mw, int mh)
	Width Height.

void	SetFeatureMinArea (int minArea)
	A constraint on minimum area of a feature (width x height > minArea)

void	SetFeatureMinWidth (int minWidth)
	Set the minimum feature size.

void	SetStep (int step)
	searching step

void	SetBorder (int border)
	set a border around patch (in Haar normally have not meaning)

bool	generate (HaarFeature &f, int x, int y, int w, int h, int idx)

unsigned int	W () const
	Return the generator geometry.

unsigned int	H () const

unsigned int	Size () const

unsigned int	Feature () const
	Return the number of feature in the vector.

Public Member Functions inherited from FeatureGenerator< Feature >
virtual bool	CanBePrecomputed () const
	Test if the feature generator can be precomputed. In this case Count must be valid.

virtual bool	Next (Feature &out)=0
	return the next feature, or return false

Additional Inherited Members
Public Attributes inherited from BaseHaarFeatureGenerator
unsigned int	m_mw
	pattern size

unsigned int	m_mh

unsigned int	m_minFeatArea
	dimensione minima

unsigned int	m_minWidth
	min Width/Height

unsigned int	m_step
	Step for feature search.

std::vector< FeatureGenerator_t >	m_feats
	lista di feature generator allocati

Static Public Attributes inherited from BaseHaarFeatureGenerator
static const char *	default_pattern
	a default pattern for all features in library

Detailed Description

This generator, instead of exhaustive, use a Random sampling approach.

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

Public Types