Class FisherFaceRecognizer

Namespace

OpenCvSharp.Face

Assembly

OpenCvSharp.dll

base for two FaceRecognizer classes

public class FisherFaceRecognizer : BasicFaceRecognizer, IDisposable

Inheritance

object

CvObject

CvPtrObject

Algorithm

FaceRecognizer

BasicFaceRecognizer

FisherFaceRecognizer

Implements

IDisposable

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.Predict(InputArray, PredictCollector)

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()

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.SetPostReleaseAction(Action)

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()

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.