Class TEBLID

Namespace

OpenCvSharp.XFeatures2D

Assembly

OpenCvSharp.dll

Class implementing TEBLID (Triplet-based Efficient Binary Local Image Descriptor), an improvement over BEBLID that uses triplet loss, hard negative mining, and anchor swap.

public class TEBLID : Feature2D, IDisposable

Inheritance

object

CvObject

CvPtrObject

Algorithm

Feature2D

TEBLID

Implements

IDisposable

Inherited Members

Feature2D.DescriptorSize

Feature2D.DescriptorType

Feature2D.DefaultNorm

Feature2D.Empty()

Feature2D.Detect(Mat, Mat)

Feature2D.Detect(InputArray, InputArray)

Feature2D.Detect(IEnumerable<Mat>, IEnumerable<Mat>)

Feature2D.Compute(InputArray, ref KeyPoint[], OutputArray)

Feature2D.Compute(IEnumerable<Mat>, ref KeyPoint[][], IEnumerable<Mat>)

Feature2D.DetectAndCompute(InputArray, InputArray, out KeyPoint[], OutputArray, bool)

Feature2D.Write(string)

Feature2D.Read(string)

Feature2D.GetDefaultName()

Algorithm.Write(FileStorage)

Algorithm.Read(FileNode)

Algorithm.Save(string)

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.Dispose()

CvObject.Dispose(bool)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.ThrowIfDisposed()

CvObject.CvPtr

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Methods

Create(float, TeblidSize)

Creates the TEBLID descriptor.

public static TEBLID Create(float scaleFactor, TeblidSize nBits = TeblidSize.Size256Bits)

Parameters

scaleFactor float

Adjust the sampling window around detected keypoints: 1.00f should be the scale for ORB keypoints, 6.75f for SIFT detected keypoints, 6.25f (default) fits for KAZE/SURF detected keypoints, 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints.

nBits TeblidSize

Determine the number of bits in the descriptor.

Returns

TEBLID