Class BEBLID

Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor), a binary descriptor learned with boosting.

public class BEBLID : Feature2D, 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()

Properties

Adjust the sampling window around detected keypoints.

public float ScaleFactor { get; set; }

Creates the BEBLID descriptor.

public static BEBLID Create(float scaleFactor, BeblidSize nBits = BeblidSize.Size512Bits)

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 BeblidSize: Determine the number of bits in the descriptor.