Covariant feature detectors - Definition. More...

#include "covdet.h"
#include <string.h>

Include dependency graph for covdet.c:

Classes
struct	_VlCovDet
	Covariant feature detector. More...
struct	_VlCovDetExtremum2
struct	_VlCovDetExtremum3
Defines
#define	Aat(i, j) (A[(i)+(j)*3])
#define	Aat(i, j) (A[(i)+(j)*2])
#define	at(dx, dy, dz) ((pt + (dx)xo + (dy)yo + (dz)zo))
#define	at(dx, dy) ((pt + (dx)xo + (dy)*yo ))
#define	at(x, y) pt[(x+w)+(y+w)(2w+1)]
#define	CHECK_NEIGHBORS_2(v, CMP, SGN)
#define	CHECK_NEIGHBORS_3(v, CMP, SGN)
#define	VL_COVDET_AA_ACCURATE_SMOOTHING VL_FALSE
#define	VL_COVDET_AA_CONVERGENCE_THRESHOLD 1.001
#define	VL_COVDET_AA_MAX_ANISOTROPY 5
#define	VL_COVDET_AA_MAX_NUM_ITERATIONS 15
#define	VL_COVDET_AA_PATCH_EXTENT (3*VL_COVDET_AA_RELATIVE_INTEGRATION_SIGMA)
#define	VL_COVDET_AA_PATCH_RESOLUTION 20
#define	VL_COVDET_AA_RELATIVE_DERIVATIVE_SIGMA 1
#define	VL_COVDET_AA_RELATIVE_INTEGRATION_SIGMA 3
#define	VL_COVDET_DOG_DEF_EDGE_THRESHOLD 10.0
#define	VL_COVDET_DOG_DEF_PEAK_THRESHOLD VL_COVDET_LAP_DEF_PEAK_THRESHOLD
#define	VL_COVDET_HARRIS_DEF_EDGE_THRESHOLD 10.0
#define	VL_COVDET_HARRIS_DEF_PEAK_THRESHOLD 0.000002
#define	VL_COVDET_HESSIAN_DEF_EDGE_THRESHOLD 10.0
#define	VL_COVDET_HESSIAN_DEF_PEAK_THRESHOLD 0.003
#define	VL_COVDET_LAP_DEF_PEAK_THRESHOLD 0.01
#define	VL_COVDET_LAP_NUM_LEVELS 10
#define	VL_COVDET_LAP_PATCH_RESOLUTION 16
#define	VL_COVDET_MAX_NUM_LAPLACIAN_SCALES 4
#define	VL_COVDET_MAX_NUM_ORIENTATIONS 4
#define	VL_COVDET_OR_ADDITIONAL_PEAKS_RELATIVE_SIZE 0.8
#define	VL_COVDET_OR_NUM_ORIENTATION_HISTOGAM_BINS 36
Typedefs
typedef struct _VlCovDetExtremum2	VlCovDetExtremum2
typedef struct _VlCovDetExtremum3	VlCovDetExtremum3
Functions
vl_bool	_vl_covdet_check_frame_inside (VlCovDet *self, VlFrameOrientedEllipse frame, double margin)
static int	_vl_covdet_compare_orientations_descending (void const a_, void const b_)
static void	_vl_det_hessian_response (float hessian, float const image, vl_size width, vl_size height, double step, double sigma)
	Scaled derminant of the Hessian filter.
static void	_vl_dog_response (float dog, float const level1, float const *level2, vl_size width, vl_size height)
	Difference of Gaussian.
static int	_vl_enlarge_buffer (void *buffer, vl_size bufferSize, vl_size targetSize)
	Enlarge buffer.
static void	_vl_harris_response (float harris, float const image, vl_size width, vl_size height, double step, double sigma, double sigmaI, double alpha)
	Scale-normalised Harris response.
static int	_vl_resize_buffer (void *buffer, vl_size bufferSize, vl_size targetSize)
	Reallocate buffer.
int	vl_covdet_append_feature (VlCovDet self, VlCovDetFeature const feature)
	Append a feature to the internal buffer.
void	vl_covdet_delete (VlCovDet *self)
	Delete object instance.
void	vl_covdet_detect (VlCovDet *self)
	Detect scale-space features.
void	vl_covdet_drop_features_outside (VlCovDet *self, double margin)
	Drop features (partially) outside the image.
void	vl_covdet_extract_affine_shape (VlCovDet *self)
	Extract the affine shape for the stored features.
int	vl_covdet_extract_affine_shape_for_frame (VlCovDet self, VlFrameOrientedEllipse adapted, VlFrameOrientedEllipse frame)
	Extract the affine shape for a feature frame.
void	vl_covdet_extract_laplacian_scales (VlCovDet *self)
	Extract the Laplacian scales for the stored features.
VlCovDetFeatureLaplacianScale *	vl_covdet_extract_laplacian_scales_for_frame (VlCovDet self, vl_size numScales, VlFrameOrientedEllipse frame)
	Extract the Laplacian scale(s) for a feature frame.
void	vl_covdet_extract_orientations (VlCovDet *self)
	Extract the orientation(s) for the stored features.
VlCovDetFeatureOrientation *	vl_covdet_extract_orientations_for_frame (VlCovDet self, vl_size numOrientations, VlFrameOrientedEllipse frame)
	Extract the orientation(s) for a feature.
vl_bool	vl_covdet_extract_patch_for_frame (VlCovDet self, float patch, vl_size resolution, double extent, double sigma, VlFrameOrientedEllipse frame)
	Helper for extracting patches.
vl_bool	vl_covdet_extract_patch_helper (VlCovDet self, double sigma1, double sigma2, float patch, vl_size resolution, double extent, double sigma, double A_[4], double T_[2], double d1, double d2)
vl_bool	vl_covdet_get_aa_accurate_smoothing (VlCovDet const *self)
	Get whether affine adaptation uses accurate smoothing.
VlScaleSpace *	vl_covdet_get_css (VlCovDet const *self)
	Get the cornerness measure scale space.
double	vl_covdet_get_edge_threshold (VlCovDet const *self)
	Get the edge threshold.
void *	vl_covdet_get_features (VlCovDet *self)
	Get the stored frames.
vl_index	vl_covdet_get_first_octave (VlCovDet const *self)
	Get the index of the first octave.
VlScaleSpace *	vl_covdet_get_gss (VlCovDet const *self)
	Get the Gaussian scale space.
double	vl_covdet_get_laplacian_peak_threshold (VlCovDet const *self)
	Get the Laplacian peak threshold.
vl_size const *	vl_covdet_get_laplacian_scales_statistics (VlCovDet const self, vl_size numScales)
	Get the number of features found with a certain number of scales.
double	vl_covdet_get_non_extrema_suppression_threshold (VlCovDet const *self)
	Get the non-extrema suppression threshold.
vl_size	vl_covdet_get_num_features (VlCovDet const *self)
	Get number of stored frames.
vl_size	vl_covdet_get_num_non_extrema_suppressed (VlCovDet const *self)
	Get the number of non-extrema suppressed.
vl_size	vl_covdet_get_octave_resolution (VlCovDet const *self)
	Get the octave resolution.
double	vl_covdet_get_peak_threshold (VlCovDet const *self)
	Get the peak threshold.
vl_bool	vl_covdet_get_transposed (VlCovDet const *self)
	Get wether images are passed in transposed.
VlCovDet *	vl_covdet_new (VlCovDetMethod method)
	Create a new object instance.
int	vl_covdet_put_image (VlCovDet self, float const image, vl_size width, vl_size height)
	Detect features in an image.
void	vl_covdet_reset (VlCovDet *self)
	Reset object.
void	vl_covdet_set_aa_accurate_smoothing (VlCovDet *self, vl_bool x)
	Set whether affine adaptation uses accurate smoothing.
void	vl_covdet_set_edge_threshold (VlCovDet *self, double edgeThreshold)
	Set the edge threshold.
void	vl_covdet_set_first_octave (VlCovDet *self, vl_index o)
	Set the index of the first octave.
void	vl_covdet_set_laplacian_peak_threshold (VlCovDet *self, double peakThreshold)
	Set the Laplacian peak threshold.
void	vl_covdet_set_non_extrema_suppression_threshold (VlCovDet *self, double x)
	Set the non-extrema suppression threshod.
void	vl_covdet_set_octave_resolution (VlCovDet *self, vl_size r)
	Set the octave resolutuon.
void	vl_covdet_set_peak_threshold (VlCovDet *self, double peakThreshold)
	Set the peak threshold.
void	vl_covdet_set_transposed (VlCovDet *self, vl_bool t)
	Set the index of the first octave.
VL_EXPORT vl_size	vl_find_local_extrema_2 (vl_index *extrema, vl_size bufferSize, float const *map, vl_size width, vl_size height, double threshold)
VL_EXPORT vl_size	vl_find_local_extrema_3 (vl_index *extrema, vl_size bufferSize, float const *map, vl_size width, vl_size height, vl_size depth, double threshold)
VL_EXPORT vl_bool	vl_refine_local_extreum_2 (VlCovDetExtremum2 refined, float const map, vl_size width, vl_size height, vl_index x, vl_index y)
VL_EXPORT vl_bool	vl_refine_local_extreum_3 (VlCovDetExtremum3 refined, float const map, vl_size width, vl_size height, vl_size depth, vl_index x, vl_index y, vl_index z)
Variables
VlEnumerator	vlCovdetMethods [VL_COVDET_METHOD_NUM]

Detailed Description

Covariant feature detectors - Definition.

Author:: Karel Lenc; Andrea Vedaldi; Michal Perdoch

Definition in file covdet.c.

Define Documentation

#define Aat	(	i,
		j
	)	(A[(i)+(j)*3])

#define Aat	(	i,
		j
	)	(A[(i)+(j)*2])

#define at	(	dx,
		dy,
		dz
	)	((pt + (dx)xo + (dy)yo + (dz)zo))

#define at	(	dx,
		dy
	)	((pt + (dx)xo + (dy)*yo ))

#define at	(	x,
		y
	)	pt[(x+w)+(y+w)(2w+1)]

#define CHECK_NEIGHBORS_2	(	v,
		CMP,
		SGN
	)

Value:

(\
v CMP ## = SGN threshold &&               \
v CMP *(pt + xo) &&                       \
v CMP *(pt - xo) &&                       \
v CMP *(pt + yo) &&                       \
v CMP *(pt - yo) &&                       \
\
v CMP *(pt + yo + xo) &&                  \
v CMP *(pt + yo - xo) &&                  \
v CMP *(pt - yo + xo) &&                  \
v CMP *(pt - yo - xo) )

#define CHECK_NEIGHBORS_3	(	v,
		CMP,
		SGN
	)

#define VL_COVDET_AA_ACCURATE_SMOOTHING VL_FALSE

Definition at line 1441 of file covdet.c.

#define VL_COVDET_AA_CONVERGENCE_THRESHOLD 1.001

Definition at line 1440 of file covdet.c.

#define VL_COVDET_AA_MAX_ANISOTROPY 5

Definition at line 1439 of file covdet.c.

#define VL_COVDET_AA_MAX_NUM_ITERATIONS 15

Definition at line 1435 of file covdet.c.

#define VL_COVDET_AA_PATCH_EXTENT (3*VL_COVDET_AA_RELATIVE_INTEGRATION_SIGMA)

Definition at line 1442 of file covdet.c.

#define VL_COVDET_AA_PATCH_RESOLUTION 20

Definition at line 1434 of file covdet.c.

#define VL_COVDET_AA_RELATIVE_DERIVATIVE_SIGMA 1

Definition at line 1438 of file covdet.c.

#define VL_COVDET_AA_RELATIVE_INTEGRATION_SIGMA 3

Definition at line 1437 of file covdet.c.

#define VL_COVDET_DOG_DEF_EDGE_THRESHOLD 10.0

Definition at line 1448 of file covdet.c.

#define VL_COVDET_DOG_DEF_PEAK_THRESHOLD VL_COVDET_LAP_DEF_PEAK_THRESHOLD

Definition at line 1447 of file covdet.c.

#define VL_COVDET_HARRIS_DEF_EDGE_THRESHOLD 10.0

Definition at line 1450 of file covdet.c.

#define VL_COVDET_HARRIS_DEF_PEAK_THRESHOLD 0.000002

Definition at line 1449 of file covdet.c.

#define VL_COVDET_HESSIAN_DEF_EDGE_THRESHOLD 10.0

Definition at line 1452 of file covdet.c.

#define VL_COVDET_HESSIAN_DEF_PEAK_THRESHOLD 0.003

Definition at line 1451 of file covdet.c.

#define VL_COVDET_LAP_DEF_PEAK_THRESHOLD 0.01

Definition at line 1446 of file covdet.c.

#define VL_COVDET_LAP_NUM_LEVELS 10

Definition at line 1444 of file covdet.c.

#define VL_COVDET_LAP_PATCH_RESOLUTION 16

Definition at line 1445 of file covdet.c.

#define VL_COVDET_MAX_NUM_LAPLACIAN_SCALES 4

Definition at line 1433 of file covdet.c.

#define VL_COVDET_MAX_NUM_ORIENTATIONS 4

Definition at line 1432 of file covdet.c.

#define VL_COVDET_OR_ADDITIONAL_PEAKS_RELATIVE_SIZE 0.8

Definition at line 1443 of file covdet.c.

#define VL_COVDET_OR_NUM_ORIENTATION_HISTOGAM_BINS 36

Definition at line 1436 of file covdet.c.

Typedef Documentation

typedef struct _VlCovDetExtremum2 VlCovDetExtremum2

typedef struct _VlCovDetExtremum3 VlCovDetExtremum3

Function Documentation

vl_bool _vl_covdet_check_frame_inside	(	VlCovDet *	self,
		VlFrameOrientedEllipse	frame,
		double	margin
	)

Definition at line 3064 of file covdet.c.

static int _vl_covdet_compare_orientations_descending	(	void const *	a_,
		void const *	b_
	)		`[static]`

Definition at line 2667 of file covdet.c.

static void _vl_det_hessian_response	(	float *	hessian,
		float const *	image,
		vl_size	width,
		vl_size	height,
		double	step,
		double	sigma
	)		`[static]`

Scaled derminant of the Hessian filter.

Parameters:

hessian	output image.
image	input image.
width	image width.
height	image height.
step	image sampling step (pixel size).
sigma	Gaussian smoothing of the input image.

Definition at line 1746 of file covdet.c.

static void _vl_dog_response	(	float *	dog,
		float const *	level1,
		float const *	level2,
		vl_size	width,
		vl_size	height
	)		`[static]`

Difference of Gaussian.

Parameters:

dog	output image.
level1	input image at the smaller Gaussian scale.
level2	input image at the larger Gaussian scale.
width	image width.
height	image height.

Definition at line 1898 of file covdet.c.

static int _vl_enlarge_buffer	(	void **	buffer,
		vl_size *	bufferSize,
		vl_size	targetSize
	)		`[static]`

Enlarge buffer.

Parameters:

buffer
bufferSize
targetSize

Returns:: error code

Definition at line 986 of file covdet.c.

static void _vl_harris_response	(	float *	harris,
		float const *	image,
		vl_size	width,
		vl_size	height,
		double	step,
		double	sigma,
		double	sigmaI,
		double	alpha
	)		`[static]`

Scale-normalised Harris response.

Parameters:

harris	output image.
image	input image.
width	image width.
height	image height.
step	image sampling step (pixel size).
sigma	Gaussian smoothing of the input image.
sigmaI	integration scale.
alpha	factor in the definition of the Harris score.

Definition at line 1837 of file covdet.c.

static int _vl_resize_buffer	(	void **	buffer,
		vl_size *	bufferSize,
		vl_size	targetSize
	)		`[static]`

Reallocate buffer.

Parameters:

buffer
bufferSize
targetSize

Returns:: error code

Definition at line 956 of file covdet.c.

int vl_covdet_append_feature	(	VlCovDet *	self,
		VlCovDetFeature const *	feature
	)

Append a feature to the internal buffer.

Parameters:

self	object.
feature	a pointer to the feature to append.

Returns:: status.

The feature is copied. The function may fail with status equal to VL_ERR_ALLOC if there is insufficient memory.

Definition at line 1648 of file covdet.c.

void vl_covdet_delete ( VlCovDet * self )

Delete object instance.

Parameters:

self object.

Definition at line 1631 of file covdet.c.

void vl_covdet_detect ( VlCovDet * self )

Detect scale-space features.

Parameters:

self object.

This function runs the configured feature detector on the image that was passed by using vl_covdet_put_image.

Definition at line 1921 of file covdet.c.

void vl_covdet_drop_features_outside	(	VlCovDet *	self,
		double	margin
	)

Drop features (partially) outside the image.

Parameters:

self	object.
margin	geometric marging.

The feature extent is defined by maring. A bounding box in the normalised feature frame containin a circle of radius maring is created and mapped to the image by the feature frame transformation. Then the feature is dropped if the bounding box is not contained in the image.

For example, setting margin to zero drops a feature only if its center is not contained.

Typically a valua of margin equal to 1 or 2 is used.

Definition at line 3108 of file covdet.c.

void vl_covdet_extract_affine_shape ( VlCovDet * self )

Extract the affine shape for the stored features.

Parameters:

self object.

This function may discard features for which no affine shape can reliably be detected.

Definition at line 2644 of file covdet.c.

int vl_covdet_extract_affine_shape_for_frame	(	VlCovDet *	self,
		VlFrameOrientedEllipse *	adapted,
		VlFrameOrientedEllipse	frame
	)

Extract the affine shape for a feature frame.

Parameters:

self	object.
adapted	the shape-adapted frame.
frame	the input frame.

Returns:: VL_ERR_OK if affine adaptation is successful.

This function may fail if adaptation is unsuccessful or if memory is insufficient.

Definition at line 2455 of file covdet.c.

void vl_covdet_extract_laplacian_scales ( VlCovDet * self )

Extract the Laplacian scales for the stored features.

Parameters:

self object.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

Definition at line 3009 of file covdet.c.

VlCovDetFeatureLaplacianScale* vl_covdet_extract_laplacian_scales_for_frame	(	VlCovDet *	self,
		vl_size *	numScales,
		VlFrameOrientedEllipse	frame
	)

Extract the Laplacian scale(s) for a feature frame.

Parameters:

self	object.
numScales	the number of detected scales.
frame	pose of the feature.

Returns:: an array of detected scales.

The function returns NULL if memory is insufficient.

Definition at line 2900 of file covdet.c.

void vl_covdet_extract_orientations ( VlCovDet * self )

Extract the orientation(s) for the stored features.

Parameters:

self object.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

Definition at line 2850 of file covdet.c.

VlCovDetFeatureOrientation* vl_covdet_extract_orientations_for_frame	(	VlCovDet *	self,
		vl_size *	numOrientations,
		VlFrameOrientedEllipse	frame
	)

Extract the orientation(s) for a feature.

Parameters:

self	object.
numOrientations	the number of detected orientations.
frame	pose of the feature.

Returns:: an array of detected orientations with their scores.

The returned array is a matrix of size $2 \times n$ where n is the number of detected orientations.

The function returns NULL if memory is insufficient.

Definition at line 2690 of file covdet.c.

vl_bool vl_covdet_extract_patch_for_frame	(	VlCovDet *	self,
		float *	patch,
		vl_size	resolution,
		double	extent,
		double	sigma,
		VlFrameOrientedEllipse	frame
	)

Helper for extracting patches.

Parameters:

self	object.
patch	buffer.
resolution	patch resolution.
extent	patch extent.
sigma	desired smoothing in the patch frame.
frame	feature frame.

The function considers a patch of extent [-extent,extent] on each side, with a side counting 2*resolution+1 pixels. In attempts to extract from the scale space a patch based on the affine warping specified by frame in such a way that the resulting smoothing of the image is sigma (in the patch frame).

The transformation is specified by the matrices A and T embedded in the feature frame. Note that this transformation maps pixels from the patch frame to the image frame.

Definition at line 2423 of file covdet.c.

vl_bool vl_covdet_extract_patch_helper	(	VlCovDet *	self,
		double *	sigma1,
		double *	sigma2,
		float *	patch,
		vl_size	resolution,
		double	extent,
		double	sigma,
		double	A_[4],
		double	T_[2],
		double	d1,
		double	d2
	)

Definition at line 2158 of file covdet.c.

vl_bool vl_covdet_get_aa_accurate_smoothing ( VlCovDet const * self )

Get whether affine adaptation uses accurate smoothing.

Parameters:

self object.

Returns:: true if accurate smoothing is used.

Definition at line 3280 of file covdet.c.

VlScaleSpace* vl_covdet_get_css ( VlCovDet const * self )

Get the cornerness measure scale space.

Returns:: cornerness measure scale space.

A cornerness measure scale space exists only after calling vl_covdet_detect. Otherwise the function returns NULL.

Definition at line 3371 of file covdet.c.

double vl_covdet_get_edge_threshold ( VlCovDet const * self )

Get the edge threshold.

Parameters:

self object.

Returns:: the edge threshold.

Definition at line 3154 of file covdet.c.

void* vl_covdet_get_features ( VlCovDet * self )

Get the stored frames.

Returns:: frames stored in the detector.

Definition at line 3345 of file covdet.c.

vl_index vl_covdet_get_first_octave ( VlCovDet const * self )

Get the index of the first octave.

Parameters:

self object.

Returns:: index of the first octave.

Definition at line 3229 of file covdet.c.

VlScaleSpace* vl_covdet_get_gss ( VlCovDet const * self )

Get the Gaussian scale space.

Returns:: Gaussian scale space.

A Gaussian scale space exists only after calling vl_covdet_put_image. Otherwise the function returns NULL.

Definition at line 3358 of file covdet.c.

double vl_covdet_get_laplacian_peak_threshold ( VlCovDet const * self )

Get the Laplacian peak threshold.

Parameters:

self object.

Returns:: the Laplacian peak threshold.

This parameter affects only the detecors using the Laplacian scale selectino method such as Harris-Laplace.

Definition at line 3205 of file covdet.c.

vl_size const* vl_covdet_get_laplacian_scales_statistics	(	VlCovDet const *	self,
		vl_size *	numScales
	)

Get the number of features found with a certain number of scales.

Parameters:

self	object.
numScales	length of the histogram (out).

Returns:: histogram.

Calling this function makes sense only after running a detector that uses the Laplacian as a secondary measure for scale detection

Definition at line 3387 of file covdet.c.

double vl_covdet_get_non_extrema_suppression_threshold ( VlCovDet const * self )

Get the non-extrema suppression threshold.

Parameters:

self object.

Returns:: threshold.

Definition at line 3303 of file covdet.c.

vl_size vl_covdet_get_num_features ( VlCovDet const * self )

Get number of stored frames.

Returns:: number of frames stored in the detector.

Definition at line 3336 of file covdet.c.

vl_size vl_covdet_get_num_non_extrema_suppressed ( VlCovDet const * self )

Get the number of non-extrema suppressed.

Parameters:

self object.

Returns:: number.

Definition at line 3325 of file covdet.c.

vl_size vl_covdet_get_octave_resolution ( VlCovDet const * self )

Get the octave resolution.

Parameters:

self object.

Returns:: octave resolution.

Definition at line 3254 of file covdet.c.

double vl_covdet_get_peak_threshold ( VlCovDet const * self )

Get the peak threshold.

Parameters:

self object.

Returns:: the peak threshold.

Definition at line 3178 of file covdet.c.

vl_bool vl_covdet_get_transposed ( VlCovDet const * self )

Get wether images are passed in transposed.

Parameters:

self object.

Returns:: whether images are transposed.

Definition at line 3133 of file covdet.c.

VlCovDet* vl_covdet_new ( VlCovDetMethod method )

Create a new object instance.

Parameters:

method method for covariant feature detection.

Returns:: new covariant detector.

Definition at line 1507 of file covdet.c.

int vl_covdet_put_image	(	VlCovDet *	self,
		float const *	image,
		vl_size	width,
		vl_size	height
	)

Detect features in an image.

Parameters:

self	object.
image	image to process.
width	image width.
height	image height.

Returns:: status.

width and height must be at least one pixel. The function fails by returing VL_ERR_ALLOC if the memory is insufficient.

Definition at line 1683 of file covdet.c.

void vl_covdet_reset ( VlCovDet * self )

Reset object.

Parameters:

self object.

This function removes any buffered features and frees other internal buffers.

Definition at line 1610 of file covdet.c.

void vl_covdet_set_aa_accurate_smoothing	(	VlCovDet *	self,
		vl_bool	x
	)

Set whether affine adaptation uses accurate smoothing.

Parameters:

self	object.
x	whether accurate smoothing should be usd.

Definition at line 3291 of file covdet.c.

void vl_covdet_set_edge_threshold	(	VlCovDet *	self,
		double	edgeThreshold
	)

Set the edge threshold.

Parameters:

self	object.
edgeThreshold	the edge threshold.

The edge threshold must be non-negative.

Definition at line 3166 of file covdet.c.

void vl_covdet_set_first_octave	(	VlCovDet *	self,
		vl_index	o
	)

Set the index of the first octave.

Parameters:

self	object.
o	index of the first octave.

Calling this function resets the detector.

Definition at line 3241 of file covdet.c.

void vl_covdet_set_laplacian_peak_threshold	(	VlCovDet *	self,
		double	peakThreshold
	)

Set the Laplacian peak threshold.

Parameters:

self	object.
peakThreshold	the Laplacian peak threshold.

The peak threshold must be non-negative.

Definition at line 3217 of file covdet.c.

void vl_covdet_set_non_extrema_suppression_threshold	(	VlCovDet *	self,
		double	x
	)

Set the non-extrema suppression threshod.

Parameters:

self	object.
x	threshold.

Definition at line 3314 of file covdet.c.

void vl_covdet_set_octave_resolution	(	VlCovDet *	self,
		vl_size	r
	)

Set the octave resolutuon.

Parameters:

self	object.
r	octave resoltuion.

Calling this function resets the detector.

Definition at line 3267 of file covdet.c.

void vl_covdet_set_peak_threshold	(	VlCovDet *	self,
		double	peakThreshold
	)

Set the peak threshold.

Parameters:

self	object.
peakThreshold	the peak threshold.

The peak threshold must be non-negative.

Definition at line 3190 of file covdet.c.

void vl_covdet_set_transposed	(	VlCovDet *	self,
		vl_bool	t
	)

Set the index of the first octave.

Parameters:

self	object.
t	whether images are transposed.

Definition at line 3143 of file covdet.c.

vl_size vl_find_local_extrema_2	(	vl_index **	extrema,
		vl_size *	bufferSize,
		float const *	map,
		vl_size	width,
		vl_size	height,
		double	threshold
	)

Definition at line 1147 of file covdet.c.

vl_size vl_find_local_extrema_3	(	vl_index **	extrema,
		vl_size *	bufferSize,
		float const *	map,
		vl_size	width,
		vl_size	height,
		vl_size	depth,
		double	threshold
	)

Definition at line 1057 of file covdet.c.

VL_EXPORT vl_bool vl_refine_local_extreum_2	(	VlCovDetExtremum2 *	refined,
		float const *	map,
		vl_size	width,
		vl_size	height,
		vl_index	x,
		vl_index	y
	)

Definition at line 1332 of file covdet.c.

VL_EXPORT vl_bool vl_refine_local_extreum_3	(	VlCovDetExtremum3 *	refined,
		float const *	map,
		vl_size	width,
		vl_size	height,
		vl_size	depth,
		vl_index	x,
		vl_index	y,
		vl_index	z
	)

Definition at line 1206 of file covdet.c.

Variable Documentation

VlEnumerator vlCovdetMethods[VL_COVDET_METHOD_NUM]

Initial value:

 {
  {"DoG" ,              (vl_index)VL_COVDET_METHOD_DOG               },
  {"Hessian",           (vl_index)VL_COVDET_METHOD_HESSIAN           },
  {"HessianLaplace",    (vl_index)VL_COVDET_METHOD_HESSIAN_LAPLACE   },
  {"HarrisLaplace",     (vl_index)VL_COVDET_METHOD_HARRIS_LAPLACE    },
  {"MultiscaleHessian", (vl_index)VL_COVDET_METHOD_MULTISCALE_HESSIAN},
  {"MultiscaleHarris",  (vl_index)VL_COVDET_METHOD_MULTISCALE_HARRIS },
  {0,                   0                                            }
}

Definition at line 1491 of file covdet.c.

Classes

Defines

Typedefs

Functions

Variables

Detailed Description

Define Documentation

Typedef Documentation

Function Documentation

Variable Documentation