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: 2.2.0.1010 (2.2.0.1010)
Syntax
C# | Visual Basic | Visual C++ |
public EigenObjectRecognizer( Image<Gray, byte>[] images, ref MCvTermCriteria termCrit )
Public Sub New ( _ images As Image(Of Gray, Byte)(), _ ByRef termCrit As MCvTermCriteria _ )
public: EigenObjectRecognizer( array<Image<Gray, unsigned char>^>^ images, 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
- termCrit
- MCvTermCriteria%
The criteria for recognizer training