org.opencv.xfeatures2d

Class TEBLID

java.lang.Object

org.opencv.core.Algorithm

org.opencv.features2d.Feature2D

org.opencv.xfeatures2d.TEBLID

public class TEBLID
extends Feature2D

Class implementing TEBLID (Triplet-based Efficient Binary Local Image Descriptor), described in CITE: Suarez2021TEBLID. TEBLID stands for Triplet-based Efficient Binary Local Image Descriptor, although originally it was called BAD \cite Suarez2021TEBLID. It is an improvement over BEBLID \cite Suarez2020BEBLID, that uses triplet loss, hard negative mining, and anchor swap to improve the image matching results. It is able to describe keypoints from any detector just by changing the scale_factor parameter. TEBLID is as efficient as ORB, BEBLID or BRISK, but the triplet-based training objective selected more discriminative features that explain the accuracy gain. It is also more compact than BEBLID, when running the [AKAZE example](https://github.com/opencv/opencv/blob/4.x/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp) with 10000 keypoints detected by ORB, BEBLID obtains 561 inliers (75%) with 512 bits, whereas TEBLID obtains 621 (75.2%) with 256 bits. ORB obtains only 493 inliers (63%). If you find this code useful, please add a reference to the following paper: <BLOCKQUOTE> Iago Suárez, José M. Buenaposada, and Luis Baumela. Revisiting Binary Local Image Description for Resource Limited Devices. IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 8317-8324, Oct. 2021. </BLOCKQUOTE> The descriptor was trained in Liberty split of the UBC datasets \cite winder2007learning .

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	TEBLID(long addr)

Method Summary

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

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_256_BITS

public static final int SIZE_256_BITS

See Also:

Constant Field Values

SIZE_512_BITS

public static final int SIZE_512_BITS

See Also:

Constant Field Values

Constructor Detail

TEBLID

protected TEBLID(long addr)

Method Detail

__fromPtr__

public static TEBLID __fromPtr__(long addr)

create

public static TEBLID create(float scale_factor,
                            int n_bits)

Creates the TEBLID 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 TEBLID::SIZE_256_BITS or TEBLID::SIZE_512_BITS.

Returns:

automatically generated

create

public static TEBLID create(float scale_factor)

Creates the TEBLID 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 TEBLID::SIZE_256_BITS or TEBLID::SIZE_512_BITS.

Returns:

automatically generated

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