org.bytedeco.javacpp

Class opencv_xfeatures2d.SIFT

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_core.Algorithm

org.bytedeco.javacpp.opencv_features2d.Feature2D

org.bytedeco.javacpp.opencv_xfeatures2d.SIFT

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_xfeatures2d

@Namespace(value="cv::xfeatures2d")
public static class opencv_xfeatures2d.SIFT
extends opencv_features2d.Feature2D

\addtogroup xfeatures2d_nonfree \{

/** \brief Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe \cite Lowe04 .

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
opencv_xfeatures2d.SIFT() Default native constructor.
opencv_xfeatures2d.SIFT(long size) Native array allocator.
opencv_xfeatures2d.SIFT(Pointer p) Pointer cast constructor.

Method Summary

Methods

Modifier and Type	Method and Description
static opencv_xfeatures2d.SIFT	create()
static opencv_xfeatures2d.SIFT	create(int nfeatures, int nOctaveLayers, double contrastThreshold, double edgeThreshold, double sigma)
opencv_xfeatures2d.SIFT	position(long position)

Methods inherited from class org.bytedeco.javacpp.opencv_features2d.Feature2D

compute, compute, defaultNorm, descriptorSize, descriptorType, detect, detect, detect, detect, detectAndCompute, detectAndCompute, empty

Methods inherited from class org.bytedeco.javacpp.opencv_core.Algorithm

clear, getDefaultName, read, save, save, write

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, maxBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, totalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

opencv_xfeatures2d.SIFT

public opencv_xfeatures2d.SIFT()

Default native constructor.

opencv_xfeatures2d.SIFT

public opencv_xfeatures2d.SIFT(long size)

Native array allocator. Access with Pointer.position(long).

opencv_xfeatures2d.SIFT

public opencv_xfeatures2d.SIFT(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

position

public opencv_xfeatures2d.SIFT position(long position)

Overrides:

position in class opencv_features2d.Feature2D

create

@opencv_core.Ptr
public static opencv_xfeatures2d.SIFT create(int nfeatures,
                                             int nOctaveLayers,
                                             double contrastThreshold,
                                             double edgeThreshold,
                                             double sigma)

Parameters:

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.

create

@opencv_core.Ptr
public static opencv_xfeatures2d.SIFT create()