public class SIFT extends Feature2D
Modifier | Constructor and Description |
---|---|
protected |
SIFT(long addr) |
Modifier and Type | Method and Description |
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static SIFT |
__fromPtr__(long addr) |
static SIFT |
create()
(measured in SIFT algorithm as the local contrast)
number of octaves is computed automatically from the image resolution.
|
static SIFT |
create(int nfeatures) |
static SIFT |
create(int nfeatures,
int nOctaveLayers) |
static SIFT |
create(int nfeatures,
int nOctaveLayers,
double contrastThreshold) |
static SIFT |
create(int nfeatures,
int nOctaveLayers,
double contrastThreshold,
double edgeThreshold) |
static SIFT |
create(int nfeatures,
int nOctaveLayers,
double contrastThreshold,
double edgeThreshold,
double sigma) |
protected void |
finalize() |
compute, compute, defaultNorm, descriptorSize, descriptorType, detect, detect, detect, detect, detectAndCompute, detectAndCompute, empty, getDefaultName, read, write
clear, getNativeObjAddr, save
public static SIFT __fromPtr__(long addr)
public static SIFT create(int nfeatures, int nOctaveLayers, double contrastThreshold, double edgeThreshold, double sigma)
nfeatures
- The number of best features to retain. The features are ranked by their scores
(measured in SIFT algorithm as the local contrast)nOctaveLayers
- The number of layers in each octave. 3 is the value used in D. Lowe paper. The
number of octaves is computed automatically from the image resolution.contrastThreshold
- The contrast threshold used to filter out weak features in semi-uniform
(low-contrast) regions. The larger the threshold, the less features are produced by the detector.edgeThreshold
- The threshold used to filter out edge-like features. Note that the its meaning
is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
filtered out (more features are retained).sigma
- The sigma of the Gaussian applied to the input image at the octave \#0. If your image
is captured with a weak camera with soft lenses, you might want to reduce the number.public static SIFT create(int nfeatures, int nOctaveLayers, double contrastThreshold, double edgeThreshold)
nfeatures
- The number of best features to retain. The features are ranked by their scores
(measured in SIFT algorithm as the local contrast)nOctaveLayers
- The number of layers in each octave. 3 is the value used in D. Lowe paper. The
number of octaves is computed automatically from the image resolution.contrastThreshold
- The contrast threshold used to filter out weak features in semi-uniform
(low-contrast) regions. The larger the threshold, the less features are produced by the detector.edgeThreshold
- The threshold used to filter out edge-like features. Note that the its meaning
is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
filtered out (more features are retained).
is captured with a weak camera with soft lenses, you might want to reduce the number.public static SIFT create(int nfeatures, int nOctaveLayers, double contrastThreshold)
nfeatures
- The number of best features to retain. The features are ranked by their scores
(measured in SIFT algorithm as the local contrast)nOctaveLayers
- The number of layers in each octave. 3 is the value used in D. Lowe paper. The
number of octaves is computed automatically from the image resolution.contrastThreshold
- The contrast threshold used to filter out weak features in semi-uniform
(low-contrast) regions. The larger the threshold, the less features are produced by the detector.
is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
filtered out (more features are retained).
is captured with a weak camera with soft lenses, you might want to reduce the number.public static SIFT create(int nfeatures, int nOctaveLayers)
nfeatures
- The number of best features to retain. The features are ranked by their scores
(measured in SIFT algorithm as the local contrast)nOctaveLayers
- The number of layers in each octave. 3 is the value used in D. Lowe paper. The
number of octaves is computed automatically from the image resolution.
(low-contrast) regions. The larger the threshold, the less features are produced by the detector.
is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
filtered out (more features are retained).
is captured with a weak camera with soft lenses, you might want to reduce the number.public static SIFT create(int nfeatures)
nfeatures
- The number of best features to retain. The features are ranked by their scores
(measured in SIFT algorithm as the local contrast)
number of octaves is computed automatically from the image resolution.
(low-contrast) regions. The larger the threshold, the less features are produced by the detector.
is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
filtered out (more features are retained).
is captured with a weak camera with soft lenses, you might want to reduce the number.public static SIFT create()
Generated on Wed Oct 9 2019 23:24:43 UTC / OpenCV 4.1.2