FisherFaceRecognizerCreate Method |
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.
Namespace: OpenCvSharp.Face
Assembly: OpenCvSharp (in OpenCvSharp.dll) Version: 3.4.1.20180605-33-CaRLSharp
Syntaxpublic static FisherFaceRecognizer Create( int numComponents = 0, double threshold = 1.79769313486232E+308 )
Parameters
- numComponents (Optional)
- Type: SystemInt32
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 (Optional)
- Type: SystemDouble
The threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, this method returns -1.
Return Value
Type: FisherFaceRecognizerSee Also