org.opencv.xfeatures2d

Class BEBLID

java.lang.Object

org.opencv.core.Algorithm

org.opencv.features2d.Feature2D

org.opencv.xfeatures2d.BEBLID

public class BEBLID
extends Feature2D

Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor), described in CITE: Suarez2020BEBLID . BEBLID \cite 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 \cite winder2007learning as described in the paper CITE: Suarez2020BEBLID. You can check in the [AKAZE example](https://raw.githubusercontent.com/opencv/opencv/master/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp) 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%).

Field Summary

Fields

Modifier and Type	Field and Description
static int	SIZE_256_BITS
static int	SIZE_512_BITS

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	BEBLID(long addr)

Method Summary

Modifier and Type	Method and Description
static BEBLID	__fromPtr__(long addr)
static BEBLID	create(float scale_factor) Creates the BEBLID descriptor.
static BEBLID	create(float scale_factor, int n_bits) Creates the BEBLID descriptor.
protected void	finalize()
String	getDefaultName() Returns the algorithm string identifier.
float	getScaleFactor()
void	setScaleFactor(float scale_factor)

Methods inherited from class org.opencv.features2d.Feature2D

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

Methods inherited from class org.opencv.core.Algorithm

clear, getNativeObjAddr, save

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

SIZE_512_BITS

public static final int SIZE_512_BITS

See Also:

Constant Field Values

SIZE_256_BITS

public static final int SIZE_256_BITS

See Also:

Constant Field Values

Constructor Detail

BEBLID

protected BEBLID(long addr)

Method Detail

__fromPtr__

public static BEBLID __fromPtr__(long addr)

create

public static BEBLID create(float scale_factor,
                            int n_bits)

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.

Returns:

automatically generated

create

public static BEBLID create(float scale_factor)

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

BEBLID::SIZE_512_BITS or BEBLID::SIZE_256_BITS.

Returns:

automatically generated

setScaleFactor

public void setScaleFactor(float scale_factor)

getScaleFactor

public float getScaleFactor()

getDefaultName

public String getDefaultName()

Description copied from class: Algorithm

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.

Overrides:

getDefaultName in class Feature2D

Returns:

automatically generated

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class Feature2D

Throws:

Throwable