jafar::fdetect::HarrisDetector Class Reference

This class is the implements a detector of Harris points as described in : "A Combined Corner and Edge Detector" par C. More...

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Detailed Description

This class is the implements a detector of Harris points as described in : "A Combined Corner and Edge Detector" par C.

Harris et M. Stephens en 1988.

Definition at line 22 of file HarrisDetector.hpp.

#include <HarrisDetector.hpp>

Inheritance diagram for jafar::fdetect::HarrisDetector:

List of all members.

Classes
struct	HData
Public Types
enum	Cornerness { HS_HARRIS, HS_EIGEN }
Public Member Functions
	HarrisDetector (float scale_factor=1.0, float derivationSigma=1.0, float convolutionSigma=2.0, jafar::fdetect::HarrisDetector::Cornerness cornerness=HS_EIGEN, float threshold=0.0, bool fixnumber=true, int desirednum=1000)
virtual jafar::fdetect::DetectionResult	detectIn (jafar::image::Image const &image)
virtual bool	detectBestPntInRoi (jafar::image::Image const &image, InterestFeature *featPtr, const jafar::image::ROI *roiPtr=0)
float	scaleFactor () const
float	derivationSigma () const
float	convolutionSigma () const
float	threshold () const
Cornerness	cornerness () const
int	desiredNumber () const
int	derivationSize () const
int	convolutionSize () const
bool	isFixNumber () const
Private Member Functions
void	gaussianDerivativesSA (jafar::image::Image const &image)
void	gaussianDerivatives (jafar::image::Image const &image)
void	gaussianDerivatives (jafar::image::Image const &image, const jafar::image::ROI &roi)
void	gaussianConvolutionSA (jafar::image::Image const &image)
void	gaussianConvolution (jafar::image::Image const &image)
void	gaussianConvolution (jafar::image::Image const &image, const jafar::image::ROI &roi)
void	computeHarrisCurvature (jafar::image::Image const &image)
void	computeEigenCurvature (jafar::image::Image const &image)
void	computeEigenCurvatureWithMax (jafar::image::Image const &image, int pixMax[2], float *scoreMax)
void	cornerCharacteristics (DetectionResult &points, jafar::image::Image const &image)
template<bool autoThreshold, bool useScale>
DetectionResult	extractCorners (jafar::image::Image const &image)
Private Attributes
float	m_scale_factor
float	m_derivationSigma
float	m_convolutionSigma
float	m_threshold
Cornerness	m_cornerness
int	m_desirednum
int	m_derivationSize
int	m_convolutionSize
bool	m_fixnumber
HData *	m_data

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Constructor & Destructor Documentation

jafar::fdetect::HarrisDetector::HarrisDetector	(	float	scale_factor = 1.0,
		float	derivationSigma = 1.0,
		float	convolutionSigma = 2.0,
		jafar::fdetect::HarrisDetector::Cornerness	cornerness = HS_EIGEN,
		float	threshold = 0.0,
		bool	fixnumber = true,
		int	desirednum = 1000
	)

Parameters:

scale_factor	the scale used to search the interest point, it usually set to 1.0, but it might prove usefull to have it set to a different value if you know that there is a scale difference between the two images you are trying to match.
derivationSigma	the sigma used by the derivation kernel
convolutionSigma	the sigma used by the convolution kernel
cornerness	the type of cornerness (either using eigen values or the "harris" cornerness)
threshold	use to select point that are correctly different from their neighbourhood
fixnumber	set it to true if you want a given number of point which have the maximum cornerness (note that the threshold is still used to avoid selecting points which won't be good enought)
desirednum	the number of points (if set to -1 and fixnumber is true, an automatic number of points is used)

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

• modules/fdetect/include/fdetect/HarrisDetector.hpp