#include <mrpt/otherlibs/do_opencv_includes.h>
Go to the source code of this file.
Classes | |
struct | detection_data |
holds feature data relevant to detection More... | |
Macros | |
#define | SIFT_INTVLS 3 |
default number of sampled intervals per octave More... | |
#define | SIFT_SIGMA 1.6 |
default sigma for initial gaussian smoothing More... | |
#define | SIFT_IMG_DBL 1 |
default threshold on keypoint contrast |D(x)| More... | |
#define | SIFT_DESCR_WIDTH 4 |
default width of descriptor histogram array More... | |
#define | SIFT_DESCR_HIST_BINS 8 |
default number of bins per histogram in descriptor array More... | |
#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 | feat_detection_data(f) ( (struct detection_data*)(f->feature_data) ) |
Functions | |
int | sift_features (IplImage *img, struct feature **feat) |
Finds SIFT features in an image using default parameter values. More... | |
int | _sift_features (IplImage *img, struct feature **feat, int intvls, double sigma, double contr_thr, int curv_thr, int img_dbl, int descr_width, int descr_hist_bins) |
Finda SIFT features in an image using user-specified parameter values. More... | |
#define feat_detection_data | ( | f | ) | ( (struct detection_data*)(f->feature_data) ) |
Definition at line 94 of file sift.h.
Referenced by mrpt::vision::CFeatureExtraction::my_scale_space_extrema().
#define SIFT_DESCR_HIST_BINS 8 |
default number of bins per histogram in descriptor array
Definition at line 58 of file sift.h.
Referenced by mrpt::vision::CFeatureExtraction::extractFeaturesSIFT(), and mrpt::vision::CFeatureExtraction::internal_computeSiftDescriptors().
#define SIFT_DESCR_WIDTH 4 |
default width of descriptor histogram array
Definition at line 55 of file sift.h.
Referenced by mrpt::vision::CFeatureExtraction::extractFeaturesSIFT(), and mrpt::vision::CFeatureExtraction::internal_computeSiftDescriptors().
#define SIFT_IMG_DBL 1 |
default threshold on keypoint contrast |D(x)|
default threshold on keypoint ratio of principle curvatures double image size before pyramid construction?
Definition at line 52 of file sift.h.
Referenced by mrpt::vision::CFeatureExtraction::extractFeaturesSIFT(), and mrpt::vision::CFeatureExtraction::internal_computeSiftDescriptors().
#define SIFT_INTVLS 3 |
default number of sampled intervals per octave
Definition at line 40 of file sift.h.
Referenced by mrpt::vision::CFeatureExtraction::extractFeaturesSIFT(), and mrpt::vision::CFeatureExtraction::internal_computeSiftDescriptors().
#define SIFT_ORI_RADIUS 3.0 * SIFT_ORI_SIG_FCTR |
#define SIFT_SIGMA 1.6 |
default sigma for initial gaussian smoothing
Definition at line 43 of file sift.h.
Referenced by mrpt::vision::CFeatureExtraction::extractFeaturesSIFT(), mrpt::vision::CFeatureExtraction::internal_computeSiftDescriptors(), and mrpt::vision::CFeatureExtraction::my_scale_space_extrema().
int _sift_features | ( | IplImage * | img, |
struct feature ** | feat, | ||
int | intvls, | ||
double | sigma, | ||
double | contr_thr, | ||
int | curv_thr, | ||
int | img_dbl, | ||
int | descr_width, | ||
int | descr_hist_bins | ||
) |
Finda SIFT features in an image using user-specified parameter values.
All detected features are stored in the array pointed to by feat.
img | the image in which to detect features |
feat | a pointer to an array in which to store detected features |
intvls | the number of intervals sampled per octave of scale space |
sigma | the amount of Gaussian smoothing applied to each image level before building the scale space representation for an octave |
contr_thr | a threshold on the value of the scale space function , where is a vector specifying feature location and scale, used to reject unstable features; assumes pixel values in the range [0, 1] |
curv_thr | threshold on a feature's ratio of principle curvatures used to reject features that are too edge-like |
img_dbl | should be 1 if image doubling prior to scale space construction is desired or 0 if not |
descr_width | the width, , of the array of orientation histograms used to compute a feature's descriptor |
descr_hist_bins | the number of orientations in each of the histograms in the array used to compute a feature's descriptor |
int sift_features | ( | IplImage * | img, |
struct feature ** | feat | ||
) |
Finds SIFT features in an image using default parameter values.
All detected features are stored in the array pointed to by feat.
img | the image in which to detect features |
feat | a pointer to an array in which to store detected features |
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