@Namespace(value="cv::xfeatures2d") @Properties(inherit=opencv_xfeatures2d.class) public class SIFT extends Feature2D
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
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SIFT()
Default native constructor.
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SIFT(long size)
Native array allocator.
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SIFT(Pointer p)
Pointer cast constructor.
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| Modifier and Type | Method and Description |
|---|---|
static SIFT |
create() |
static SIFT |
create(int nfeatures,
int nOctaveLayers,
double contrastThreshold,
double edgeThreshold,
double sigma) |
SIFT |
position(long position) |
compute, compute, compute, compute, compute, compute, defaultNorm, descriptorSize, descriptorType, detect, detect, detect, detect, detect, detect, detect, detect, detect, detect, detect, detect, detectAndCompute, detectAndCompute, detectAndCompute, detectAndCompute, detectAndCompute, detectAndCompute, empty, getDefaultName, read, read, read, write, write, write, write, writeaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic SIFT()
public SIFT(long size)
Pointer.position(long).public SIFT(Pointer p)
Pointer.Pointer(Pointer).@opencv_core.Ptr 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.@opencv_core.Ptr public static SIFT create()
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