Create an object recognizer using the specific tranning data and parameters, it will always return the most similar object
Namespace:
Emgu.CVAssembly: Emgu.CV (in Emgu.CV.dll) Version: 2.1.0.649 (2.1.0.649)
Syntax
C# | Visual Basic | Visual C++ |
public EigenObjectRecognizer( Image<Gray, byte>[] images, string[] labels, ref MCvTermCriteria termCrit )
Public Sub New ( _ images As Image(Of Gray, Byte)(), _ labels As String(), _ ByRef termCrit As MCvTermCriteria _ )
public: EigenObjectRecognizer( array<Image<Gray, unsigned char>^>^ images, array<String^>^ labels, MCvTermCriteria% termCrit )
Parameters
- images
- array<
Image<(Of <(Gray, Byte>)>)
>[]()[]
The images used for training, each of them should be the same size. It's recommended the images are histogram normalized
- labels
- array<
String
>[]()[]
The labels corresponding to the images
- termCrit
-
MCvTermCriteria
%
The criteria for recognizer training