@Namespace(value="cv::xfeatures2d") @Properties(inherit=opencv_xfeatures2d.class) public class TEBLID extends Feature2D
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:
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.
The descriptor was trained in Liberty split of the UBC datasets \cite winder2007learning .
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Modifier and Type | Field and Description |
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static int |
SIZE_256_BITS
enum cv::xfeatures2d::TEBLID::TeblidSize
|
static int |
SIZE_512_BITS
enum cv::xfeatures2d::TEBLID::TeblidSize
|
Constructor and Description |
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TEBLID()
Default native constructor.
|
TEBLID(Algorithm pointer)
Downcast constructor.
|
TEBLID(long size)
Native array allocator.
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TEBLID(Pointer p)
Pointer cast constructor.
|
Modifier and Type | Method and Description |
---|---|
static TEBLID |
create(float scale_factor) |
static TEBLID |
create(float scale_factor,
int n_bits)
\brief Creates the TEBLID descriptor.
|
BytePointer |
getDefaultName()
Returns the algorithm string identifier.
|
TEBLID |
getPointer(long i) |
TEBLID |
position(long position) |
asAlgorithm, asAlgorithm, 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, read, read, read, write, write, write, write, write
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public static final int SIZE_256_BITS
public static final int SIZE_512_BITS
public TEBLID()
public TEBLID(long size)
Pointer.position(long)
.public TEBLID(Pointer p)
Pointer(Pointer)
.public TEBLID(Algorithm pointer)
public TEBLID getPointer(long i)
getPointer
in class Feature2D
@opencv_core.Ptr public static TEBLID create(float scale_factor, int n_bits)
scale_factor
- Adjust the sampling window around detected keypoints:
- 1.00f should be the scale for ORB keypoints
- 6.75f should be the scale for SIFT detected keypoints
- 6.25f is default and fits for KAZE, SURF detected keypoints
- 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypointsn_bits
- Determine the number of bits in the descriptor. Should be either
TEBLID::SIZE_256_BITS or TEBLID::SIZE_512_BITS.@opencv_core.Ptr public static TEBLID create(float scale_factor)
@opencv_core.Str public BytePointer getDefaultName()
Algorithm
getDefaultName
in class Feature2D
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