Class BoostDesc

Namespace

Emgu.CV.XFeatures2D

Assembly

Emgu.CV.dll

Class implementing BoostDesc (Learning Image Descriptors with Boosting).

public class BoostDesc : Feature2D, IDisposable, IAlgorithm

Inheritance

object

DisposableObject

UnmanagedObject

SharedPtrObject

Feature2D

BoostDesc

Implements

IDisposable

IAlgorithm

Inherited Members

Feature2D._feature2D

Feature2D.DetectAndCompute(IInputArray, IInputArray, VectorOfKeyPoint, IOutputArray, bool)

Feature2D.DetectRaw(IInputArray, VectorOfKeyPoint, IInputArray)

Feature2D.Detect(IInputArray, IInputArray)

Feature2D.Compute(IInputArray, VectorOfKeyPoint, IOutputArray)

Feature2D.Feature2DPtr

Feature2D.DescriptorSize

SharedPtrObject._sharedPtr

SharedPtrObject.SharedPtr

UnmanagedObject._ptr

UnmanagedObject.Ptr

DisposableObject.Dispose()

DisposableObject.ReleaseManagedResources()

object.GetType()

object.MemberwiseClone()

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

Extension Methods

AlgorithmExtensions.Clear(IAlgorithm)

AlgorithmExtensions.GetDefaultName(IAlgorithm)

AlgorithmExtensions.IsEmpty(IAlgorithm)

AlgorithmExtensions.Load(IAlgorithm, string, string, string)

AlgorithmExtensions.LoadFromString(IAlgorithm, string, string, string)

AlgorithmExtensions.Read(IAlgorithm, FileNode)

AlgorithmExtensions.Save(IAlgorithm, string)

AlgorithmExtensions.SaveToString(IAlgorithm, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage)

Remarks

See: V. Lepetit T. Trzcinski, M. Christoudias and P. Fua. Boosting Binary Keypoint Descriptors. In Computer Vision and Pattern Recognition, 2013. M. Christoudias T. Trzcinski and V. Lepetit. Learning Image Descriptors with Boosting. submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013.

Constructors

BoostDesc(DescriptorType, bool, float)

Create an instance of Boost Descriptor

public BoostDesc(BoostDesc.DescriptorType desc = DescriptorType.Binboost256, bool useScaleOrientation = true, float scalefactor = 6.25)

Parameters

desc BoostDesc.DescriptorType

type of descriptor to use

useScaleOrientation bool

sample patterns using keypoints orientation

scalefactor float

adjust the sampling window of detected keypoints 6.25f is default and fits for KAZE, SURF detected keypoints window ratio 6.75f should be the scale for SIFT detected keypoints window ratio 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints window ratio 0.75f should be the scale for ORB keypoints ratio 1.50f was the default in original implementation

Methods

DisposeObject()

Release all the unmanaged resource associated with BRIEF

protected override void DisposeObject()