Hmax Class Reference

Object recognition model inspired from Riesenhuber & Poggio's HMAX model. More...

#include <HMAX/Hmax.H>

Inheritance diagram for Hmax:

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Collaboration diagram for Hmax:

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List of all members.

Public Member Functions
	Hmax ()
	Default constructor. Need to call init() later.
	Hmax (const int nori, const std::vector< int > &spacess, const std::vector< int > &scaless, const int c1spaceol=2, const bool angleflag=true, const float s2t=1.0F, const float s2s=1.0F, const float stdmin=1.75F, const float stdstep=0.5F, const int fsmin=3, const int fsstep=1)
	Constructor.
void	init (const int nori, const std::vector< int > &spacess, const std::vector< int > &scaless, const int c1spaceol=2, const bool angleflag=true, const float s2t=1.0F, const float s2s=1.0F)
	Initialization.
void	initFilters (const float stdmin, const float stdstep, const int fsmin, const int fsstep)
void	freeMem ()
	Free internal memory.
	~Hmax ()
	Destructor.
std::vector< std::string >	readDir (std::string dirName)
	For utilize the operation : read a directory and pass the list of files.
std::vector< std::string >	readList (std::string inName)
Image< float >	origGetC2 (const Image< float > &imag)
	This is the code of Max Riesenhuber almost straight out of the box.
Image< float >	getC2 (const Image< float > &input)
	Compute C2 responses from an input image.
int	getNumOrientations ()
void	initC1 (Image< float > **&c1Res)
void	clearC1 (Image< float > **&c1Res)
void	printCorners (const char name[], const Image< float > &im, bool cond)
void	writeOutImage (const Image< float > &im, std::string &fName)
void	getC1 (const Image< float > &input, Image< float > **&c1Res)
void	sumFilter (const Image< float > &image, const float radius, Image< float > &newImage)
void	sumFilter (const Image< float > &image, const Rectangle &support, Image< float > &newImage)
Protected Attributes
bool	initialized
	keep track of whether we have allocated some memory
int	nsb
	number of scale bands
int	ns
	number of scales
int	no
	number of orientations
Image< float > **	filter
	low-level processing filters [ns][no]
int	c1SpaceOL
	spatial overlap in C1 cells
bool	angleFlag
	normalize convolution by image energy if true
float	s2Target
	center of S2 target
float	s2Sigma
	size of S2 target
std::vector< int >	spaceSS
std::vector< int >	scaleSS

Detailed Description

Object recognition model inspired from Riesenhuber & Poggio's HMAX model.

See Riesenhuber & Poggio, Nature Neuroscience, 1999.

Definition at line 53 of file Hmax.H.

Constructor & Destructor Documentation

Hmax::Hmax ( )

Default constructor. Need to call init() later.

Definition at line 58 of file Hmax.C.

References initialized.

Hmax::Hmax	(	const int	nori,
		const std::vector< int > &	spacess,
		const std::vector< int > &	scaless,
		const int	c1spaceol = `2`,
		const bool	angleflag = `true`,
		const float	s2t = `1.0F`,
		const float	s2s = `1.0F`,
		const float	stdmin = `1.75F`,
		const float	stdstep = `0.5F`,
		const int	fsmin = `3`,
		const int	fsstep = `1`
	)

Constructor.

Definition at line 62 of file Hmax.C.

References init(), and initialized.

Hmax::~Hmax ( )

Destructor.

Definition at line 131 of file Hmax.C.

References freeMem().

Member Function Documentation

void Hmax::freeMem ( )

Free internal memory.

Reimplemented in HmaxFL.

Definition at line 120 of file Hmax.C.

References filter, and initialized.

Referenced by init(), and ~Hmax().

Image< float > Hmax::getC2 ( const Image< float > & input )

Compute C2 responses from an input image.

Definition at line 458 of file Hmax.C.

References c1SpaceOL, Image< T >::clear(), featurePoolHmax(), hmaxActivation(), NO_INIT, s2Sigma, s2Target, Image< T >::setVal(), and Image< T >::size().

void Hmax::init	(	const int	nori,
		const std::vector< int > &	spacess,
		const std::vector< int > &	scaless,
		const int	c1spaceol = `2`,
		const bool	angleflag = `true`,
		const float	s2t = `1.0F`,
		const float	s2s = `1.0F`
	)