#include "facerec.hpp"
§ create()
static Ptr<FisherFaceRecognizer> cv::face::FisherFaceRecognizer::create |
( |
int |
num_components = 0 , |
|
|
double |
threshold = DBL_MAX |
|
) |
| |
|
static |
- Parameters
-
num_components | 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 | The threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, this method returns -1. |
Notes:
- 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.
Model internal data:
- num_components see FisherFaceRecognizer::create.
- threshold see FisherFaceRecognizer::create.
- eigenvalues The eigenvalues for this Linear Discriminant Analysis (ordered descending).
- eigenvectors The eigenvectors for this Linear Discriminant Analysis (ordered by their eigenvalue).
- mean The sample mean calculated from the training data.
- projections The projections of the training data.
- labels The labels corresponding to the projections.
The documentation for this class was generated from the following file:
- /build/master-contrib_docs-lin64/opencv_contrib/modules/face/include/opencv2/face/facerec.hpp