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Class FisherFaceRecognizer

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.
Inheritance
System.Object
DisposableObject
DisposableCvObject
Algorithm
FaceRecognizer
BasicFaceRecognizer
FisherFaceRecognizer
Implements
ICvPtrHolder
Inherited Members
BasicFaceRecognizer.GetNumComponents()
BasicFaceRecognizer.SetNumComponents(Int32)
BasicFaceRecognizer.GetThreshold()
BasicFaceRecognizer.SetThreshold(Double)
BasicFaceRecognizer.GetProjections()
BasicFaceRecognizer.GetLabels()
BasicFaceRecognizer.GetEigenValues()
BasicFaceRecognizer.GetEigenVectors()
BasicFaceRecognizer.GetMean()
FaceRecognizer.Train(IEnumerable<Mat>, IEnumerable<Int32>)
FaceRecognizer.Update(IEnumerable<Mat>, IEnumerable<Int32>)
FaceRecognizer.Predict(InputArray)
FaceRecognizer.Predict(InputArray, Int32, Double)
FaceRecognizer.Write(String)
FaceRecognizer.Read(String)
FaceRecognizer.Write(FileStorage)
FaceRecognizer.Read(FileNode)
FaceRecognizer.SetLabelInfo(Int32, String)
FaceRecognizer.GetLabelInfo(Int32)
FaceRecognizer.GetLabelsByString(String)
Algorithm.Empty
Algorithm.Save(String)
Algorithm.GetDefaultName()
DisposableCvObject.ptr
DisposableCvObject.CvPtr
DisposableObject.DataHandle
DisposableObject.IsDisposed
DisposableObject.IsEnabledDispose
DisposableObject.AllocatedMemory
DisposableObject.AllocatedMemorySize
DisposableObject.Dispose()
DisposableObject.Dispose(Boolean)
DisposableObject.AllocGCHandle(Object)
DisposableObject.AllocMemory(Int32)
DisposableObject.NotifyMemoryPressure(Int64)
DisposableObject.ThrowIfDisposed()
Namespace: OpenCvSharp.Face
Assembly: OpenCvSharp.dll
Syntax
public class FisherFaceRecognizer : BasicFaceRecognizer, ICvPtrHolder

Constructors

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FisherFaceRecognizer()

Declaration
protected FisherFaceRecognizer()

Methods

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Create(Int32, 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.
Declaration
public static FisherFaceRecognizer Create(int numComponents = 0, double threshold = 1.7976931348623157E+308)
Parameters
Type Name Description
System.Int32 numComponents

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.

System.Double threshold

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

Returns
Type Description
FisherFaceRecognizer
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DisposeManaged()

Releases managed resources

Declaration
protected override void DisposeManaged()
Overrides
DisposableObject.DisposeManaged()
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DisposeUnmanaged()

Declaration
protected override void DisposeUnmanaged()
Overrides
DisposableCvObject.DisposeUnmanaged()
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Get()

Declaration
public override IntPtr Get()
Returns
Type Description
IntPtr

Implements

ICvPtrHolder
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