__SIFT.hpp File Reference

#include <opencv2/opencv.hpp>
#include <vector>
#include <queue>

Classes
struct	Feature
	Detected features. More...
struct	oclFeature
	OpenCL Detected features. More...

Macros
#define	SIFT_INIT_SIGMA   0.5
#define	SIFT_IMG_BORDER   5
#define	SIFT_MAX_INTERP_STEPS   5
#define	SIFT_ORI_HIST_BINS   36
#define	SIFT_ORI_SIG_FCTR   1.5
#define	SIFT_ORI_RADIUS   3.0 * SIFT_ORI_SIG_FCTR
#define	SIFT_ORI_SMOOTH_PASSES   2
#define	SIFT_ORI_PEAK_RATIO   0.8
#define	SIFT_DESCR_SCL_FCTR   3.0
#define	SIFT_DESCR_MAG_THR   0.2
#define	SIFT_INT_DESCR_FCTR   512.0
#define	SIFT_KEYPOINT_DIAMETER   2.0
#define	VERBOSE   false
#define	MAX_KP   5000
#define	REMOVE_DUPLICATED_ORI   true

Functions
void	__feats2KeyPoints (const vector< Feature > &feats, vector< KeyPoint > &keypoints)
void	__featsVec2Mat (const vector< Feature > &feats, Mat &mat)
void	__buildDogPyramid (const vector< Mat > &gaussian_pyramid, vector< Mat > &dog_pyramid, int octaves, int intervals)
bool	__isExtremum (const vector< Mat > &dog_pyramid, int idx, int r, int c)
bool	__interpExtremum (const vector< Mat > &dog_pyramid, Feature &feat, int idx, int r, int c, int intervals, double contrast_thres)
bool	__isTooEdgeLike (const Mat &dog, int r, int c, int curvature_thres)

Macro Definition Documentation

MAX_KP

#define MAX_KP   5000

REMOVE_DUPLICATED_ORI

#define REMOVE_DUPLICATED_ORI   true

SIFT_DESCR_MAG_THR

#define SIFT_DESCR_MAG_THR   0.2

SIFT_DESCR_SCL_FCTR

#define SIFT_DESCR_SCL_FCTR   3.0

SIFT_IMG_BORDER

#define SIFT_IMG_BORDER   5

SIFT_INIT_SIGMA

#define SIFT_INIT_SIGMA   0.5

SIFT PARAMS SETDOWN

SIFT_INT_DESCR_FCTR

#define SIFT_INT_DESCR_FCTR   512.0

SIFT_KEYPOINT_DIAMETER

#define SIFT_KEYPOINT_DIAMETER   2.0

SIFT_MAX_INTERP_STEPS

#define SIFT_MAX_INTERP_STEPS   5

SIFT_ORI_HIST_BINS

#define SIFT_ORI_HIST_BINS   36

SIFT_ORI_PEAK_RATIO

#define SIFT_ORI_PEAK_RATIO   0.8

SIFT_ORI_RADIUS

#define SIFT_ORI_RADIUS   3.0 * SIFT_ORI_SIG_FCTR

SIFT_ORI_SIG_FCTR

#define SIFT_ORI_SIG_FCTR   1.5

SIFT_ORI_SMOOTH_PASSES

#define SIFT_ORI_SMOOTH_PASSES   2

VERBOSE

#define VERBOSE   false

Function Documentation

__buildDogPyramid()

void __buildDogPyramid	(	const vector< Mat > &	gaussian_pyramid,
		vector< Mat > &	dog_pyramid,
		int	octaves,
		int	intervals
	)

[Build Difference of Gaussian Pyramid]

Parameters

gaussian_pyramid	[gaussian pyramid]
dog_pyramid	[returned dog pyramid, size : octaves x (intervals + 2)]
octaves	[number of octaves]
intervals	[number of intervals per octave]

__feats2KeyPoints()

void __feats2KeyPoints	(	const vector< Feature > &	feats,
		vector< KeyPoint > &	keypoints
	)

[convert features to keypoints]

Parameters

feats	[features in vector]
keypoints	[returned keypoint vector]

__featsVec2Mat()

void __featsVec2Mat	(	const vector< Feature > &	feats,
		Mat &	mat
	)

[convert features from vector to Mat]

Parameters

feats	[features in vector]
mat	[returned Mat]

__interpExtremum()

bool __interpExtremum	(	const vector< Mat > &	dog_pyramid,
		Feature &	feat,
		int	idx,
		int	r,
		int	c,
		int	intervals,
		double	contrast_thres
	)

[Interpolates a scale-space extremum's location]

Parameters

dog_pyramid	[Dog pyramid]
feat	[returned feature]
idx	[index of intervals]
r	[pixel's image row]
c	[pixel's image col]
intervals	[number of intervals per octave]
contrast_thres	[low threshold on feature contrast]

Returns

[is a feature?]

__isExtremum()

bool __isExtremum	(	const vector< Mat > &	dog_pyramid,
		int	idx,
		int	r,
		int	c
	)

[Determines whether a pixel is a scale-space extremum]

Parameters

dog_pyramid	[Dog pyramid]
idx	[index of intervals]
r	[pixel's image row]
c	[pixel's image col]

Returns

[extremum?]

__isTooEdgeLike()

bool __isTooEdgeLike	(	const Mat &	dog,
		int	r,
		int	c,
		int	curvature_thres
	)

[Is a feature too edge like?]

Parameters

dog	[Dog layer]
r	[row]
c	[col]
curvature_thres	[high threshold on ratio of principal curvatures]

Returns

[edge?]