Create an object recognizer using the specific tranning data and parameters

Namespace:  Emgu.CV
Assembly:  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,
	double eigenDistanceThreshold,
	ref MCvTermCriteria termCrit
)
Public Sub New ( _
	images As Image(Of Gray, Byte)(), _
	labels As String(), _
	eigenDistanceThreshold As Double, _
	ByRef termCrit As MCvTermCriteria _
)
public:
EigenObjectRecognizer(
	array<Image<Gray, unsigned char>^>^ images, 
	array<String^>^ labels, 
	double eigenDistanceThreshold, 
	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
eigenDistanceThreshold
Double
The eigen distance threshold, (0, ~1000]. The smaller the number, the more likely an examined image will be treated as unrecognized object. If the threshold is < 0, the recognizer will always treated the examined image as one of the known object.
termCrit
MCvTermCriteria %
The criteria for recognizer training

See Also