Class FisherFaceRecognizer

Namespace

OpenCvSharp.Face

Assembly

OpenCvSharp.dll

base for two FaceRecognizer classes

public class FisherFaceRecognizer : BasicFaceRecognizer, IDisposable, ICvPtrHolder

Inheritance

object

DisposableObject

DisposableCvObject

Algorithm

FaceRecognizer

BasicFaceRecognizer

FisherFaceRecognizer

Implements

IDisposable

ICvPtrHolder

Inherited Members

BasicFaceRecognizer.GetNumComponents()

BasicFaceRecognizer.SetNumComponents(int)

BasicFaceRecognizer.GetThreshold()

BasicFaceRecognizer.SetThreshold(double)

BasicFaceRecognizer.GetProjections()

BasicFaceRecognizer.GetLabels()

BasicFaceRecognizer.GetEigenValues()

BasicFaceRecognizer.GetEigenVectors()

BasicFaceRecognizer.GetMean()

FaceRecognizer.Train(IEnumerable<Mat>, IEnumerable<int>)

FaceRecognizer.Update(IEnumerable<Mat>, IEnumerable<int>)

FaceRecognizer.Predict(InputArray)

FaceRecognizer.Predict(InputArray, out int, out double)

FaceRecognizer.Write(string)

FaceRecognizer.Read(string)

FaceRecognizer.Write(FileStorage)

FaceRecognizer.Read(FileNode)

FaceRecognizer.SetLabelInfo(int, string)

FaceRecognizer.GetLabelInfo(int)

FaceRecognizer.GetLabelsByString(string)

Algorithm.Empty

Algorithm.Save(string)

Algorithm.GetDefaultName()

DisposableCvObject.ptr

DisposableCvObject.DisposeUnmanaged()

DisposableCvObject.CvPtr

DisposableObject.DataHandle

DisposableObject.IsDisposed

DisposableObject.IsEnabledDispose

DisposableObject.AllocatedMemory

DisposableObject.AllocatedMemorySize

DisposableObject.Dispose()

DisposableObject.Dispose(bool)

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

FisherFaceRecognizer()

protected FisherFaceRecognizer()

Methods

Create(int, double)

Training and prediction must be done on grayscale images, use cvtColor to convert between the color spaces.

• **THE FISHERFACES METHOD MAKES THE ASSUMPTION, THAT THE TRAINING AND TEST IMAGES ARE OF EQUAL SIZE. ** (caps-lock, because I got so many mails asking for this). You have to make sure your input data has the correct shape, else a meaningful exception is thrown.Use resize to resize the images.
• This model does not support updating.

public static FisherFaceRecognizer Create(int numComponents = 0, double threshold = 1.7976931348623157E+308)

Parameters

numComponents int

The number of components (read: Fisherfaces) kept for this Linear Discriminant Analysis with the Fisherfaces criterion. It's useful to keep all components, that means the number of your classes c (read: subjects, persons you want to recognize). If you leave this at the default (0) or set it to a value less-equal 0 or greater (c-1), it will be set to the correct number (c-1) automatically.

threshold double

The threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, this method returns -1.

Returns

FisherFaceRecognizer

DisposeManaged()

Releases managed resources

protected override void DisposeManaged()