Class LDA

Namespace

OpenCvSharp

Assembly

OpenCvSharp.dll

DisposableObject + ICvPtrHolder

public class LDA : DisposableCvObject, IDisposable, ICvPtrHolder

Inheritance

object

DisposableObject

DisposableCvObject

LDA

Implements

IDisposable

ICvPtrHolder

Inherited Members

DisposableCvObject.ptr

DisposableCvObject.CvPtr

DisposableObject.DataHandle

DisposableObject.IsDisposed

DisposableObject.IsEnabledDispose

DisposableObject.AllocatedMemory

DisposableObject.AllocatedMemorySize

DisposableObject.Dispose()

DisposableObject.Dispose(bool)

DisposableObject.DisposeManaged()

DisposableObject.AllocGCHandle(object)

DisposableObject.AllocMemory(int)

DisposableObject.NotifyMemoryPressure(long)

DisposableObject.ThrowIfDisposed()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

LDA(InputArray, InputArray, int)

Initializes and performs a Discriminant Analysis with Fisher's Optimization Criterion on given data in src and corresponding labels in labels.If 0 (or less) number of components are given, they are automatically determined for given data in computation.

public LDA(InputArray src, InputArray labels, int numComponents = 0)

Parameters

src InputArray

labels InputArray

numComponents int

LDA(int)

constructor

public LDA(int numComponents = 0)

Parameters

numComponents int

Methods

Compute(InputArray, InputArray)

Compute the discriminants for data in src (row aligned) and labels.

public void Compute(InputArray src, InputArray labels)

Parameters

src InputArray

labels InputArray

DisposeUnmanaged()

Releases unmanaged resources

protected override void DisposeUnmanaged()

Eigenvalues()

Returns the eigenvalues of this LDA.

public Mat Eigenvalues()

Returns

Mat

Eigenvectors()

Returns the eigenvectors of this LDA.

public Mat Eigenvectors()

Returns

Mat

Load(FileStorage)

Deserializes this object from a given cv::FileStorage.

public void Load(FileStorage node)

Parameters

node FileStorage

Load(string)

Deserializes this object from a given filename.

public void Load(string fileName)

Parameters

fileName string

Project(InputArray)

Projects samples into the LDA subspace. src may be one or more row aligned samples.

public Mat Project(InputArray src)

Parameters

src InputArray

Returns

Mat

Reconstruct(InputArray)

Reconstructs projections from the LDA subspace. src may be one or more row aligned projections.

public Mat Reconstruct(InputArray src)

Parameters

src InputArray

Returns

Mat

Save(FileStorage)

Serializes this object to a given cv::FileStorage.

public void Save(FileStorage fs)

Parameters

fs FileStorage

Save(string)

Serializes this object to a given filename.

public void Save(string fileName)

Parameters

fileName string

SubspaceProject(InputArray, InputArray, InputArray)

public static Mat SubspaceProject(InputArray w, InputArray mean, InputArray src)

Parameters

w InputArray

mean InputArray

src InputArray

Returns

Mat

SubspaceReconstruct(InputArray, InputArray, InputArray)

public static Mat SubspaceReconstruct(InputArray w, InputArray mean, InputArray src)

Parameters

w InputArray

mean InputArray

src InputArray

Returns

Mat