Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor), described in [Suarez2020BEBLID] . More...

Inheritance diagram for OpenCVForUnity.Xfeatures2dModule.BEBLID:

Public Member Functions
void	setScaleFactor (float scale_factor)

float	getScaleFactor ()

override string	getDefaultName ()

Public Member Functions inherited from OpenCVForUnity.Features2dModule.Feature2D
void	detect (Mat image, MatOfKeyPoint keypoints, Mat mask)
	Detects keypoints in an image (first variant) or image set (second variant). More...

void	detect (Mat image, MatOfKeyPoint keypoints)
	Detects keypoints in an image (first variant) or image set (second variant). More...

void	detect (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > masks)

void	detect (List< Mat > images, List< MatOfKeyPoint > keypoints)

void	compute (Mat image, MatOfKeyPoint keypoints, Mat descriptors)
	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). More...

void	compute (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > descriptors)

void	detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, bool useProvidedKeypoints)

void	detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors)

int	descriptorSize ()

int	descriptorType ()

int	defaultNorm ()

void	write (string fileName)

void	read (string fileName)

override bool	empty ()
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...

Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
IntPtr	getNativeObjAddr ()

virtual void	clear ()
	Clears the algorithm state. More...

void	save (string filename)

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static new BEBLID	__fromPtr__ (IntPtr addr)

static BEBLID	create (float scale_factor, int n_bits)
	Creates the BEBLID descriptor. More...

static BEBLID	create (float scale_factor)
	Creates the BEBLID descriptor. More...

Static Public Member Functions inherited from OpenCVForUnity.Features2dModule.Feature2D
static new Feature2D	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Public Attributes
const int	SIZE_512_BITS = 100

const int	SIZE_256_BITS = 101

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor), described in [Suarez2020BEBLID] .

BEBLID [Suarez2020BEBLID] is a efficient binary descriptor learned with boosting. It is able to describe keypoints from any detector just by changing the scale_factor parameter. In several benchmarks it has proved to largely improve other binary descriptors like ORB or BRISK with the same efficiency. BEBLID describes using the difference of mean gray values in different regions of the image around the KeyPoint, the descriptor is specifically optimized for image matching and patch retrieval addressing the asymmetries of these problems.

If you find this code useful, please add a reference to the following paper: <BLOCKQUOTE> Iago Suárez, Ghesn Sfeir, José M. Buenaposada, and Luis Baumela. BEBLID: Boosted efficient binary local image descriptor. Pattern Recognition Letters, 133:366–372, 2020. </BLOCKQUOTE>

The descriptor was trained using 1 million of randomly sampled pairs of patches (20% positives and 80% negatives) from the Liberty split of the UBC datasets [winder2007learning] as described in the paper [Suarez2020BEBLID]. You can check in the AKAZE example how well BEBLID works. Detecting 10000 keypoints with ORB and describing with BEBLID obtains 561 inliers (75%) whereas describing with ORB obtains only 493 inliers (63%).

Member Function Documentation

◆ fromPtr()

static new BEBLID OpenCVForUnity.Xfeatures2dModule.BEBLID.__fromPtr__ ( IntPtr addr )

static

◆ create() [1/2]

static BEBLID OpenCVForUnity.Xfeatures2dModule.BEBLID.create	(	float	scale_factor,
		int	n_bits
	)

static

Creates the BEBLID descriptor.

Parameters

scale_factor	Adjust the sampling window around detected keypoints: <b> 1.00f </b> should be the scale for ORB keypoints <b> 6.75f </b> should be the scale for SIFT detected keypoints <b> 6.25f </b> is default and fits for KAZE, SURF detected keypoints <b> 5.00f </b> should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints
n_bits	Determine the number of bits in the descriptor. Should be either BEBLID::SIZE_512_BITS or BEBLID::SIZE_256_BITS.

◆ create() [2/2]

static BEBLID OpenCVForUnity.Xfeatures2dModule.BEBLID.create ( float scale_factor )

static

Creates the BEBLID descriptor.

Parameters

scale_factor	Adjust the sampling window around detected keypoints: <b> 1.00f </b> should be the scale for ORB keypoints <b> 6.75f </b> should be the scale for SIFT detected keypoints <b> 6.25f </b> is default and fits for KAZE, SURF detected keypoints <b> 5.00f </b> should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints
n_bits	Determine the number of bits in the descriptor. Should be either BEBLID::SIZE_512_BITS or BEBLID::SIZE_256_BITS.

◆ Dispose()

override void OpenCVForUnity.Xfeatures2dModule.BEBLID.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.Features2dModule.Feature2D.

◆ getDefaultName()

override string OpenCVForUnity.Xfeatures2dModule.BEBLID.getDefaultName ( )

virtual

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented from OpenCVForUnity.Features2dModule.Feature2D.

◆ getScaleFactor()

float OpenCVForUnity.Xfeatures2dModule.BEBLID.getScaleFactor ( )

◆ setScaleFactor()

void OpenCVForUnity.Xfeatures2dModule.BEBLID.setScaleFactor ( float scale_factor )

Member Data Documentation

◆ SIZE_256_BITS

const int OpenCVForUnity.Xfeatures2dModule.BEBLID.SIZE_256_BITS = 101

◆ SIZE_512_BITS

const int OpenCVForUnity.Xfeatures2dModule.BEBLID.SIZE_512_BITS = 100

The documentation for this class was generated from the following file:

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv_contrib/xfeatures2d/BEBLID.cs

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ __fromPtr__()

◆ create() [1/2]

◆ create() [2/2]

◆ Dispose()

◆ getDefaultName()

◆ getScaleFactor()

◆ setScaleFactor()

Member Data Documentation

◆ SIZE_256_BITS

◆ SIZE_512_BITS

◆ fromPtr()