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Create an object recognizer using the specific tranning data and parameters

Namespace: Emgu.CV
Assembly: Emgu.CV (in Emgu.CV.dll) Version: 2.4.0.1717 (2.4.0.1717)

Syntax

C#
public EigenObjectRecognizer(
	Image<Gray, byte>[] images,
	string[] labels,
	double eigenDistanceThreshold,
	ref MCvTermCriteria termCrit
)
Visual Basic
Public Sub New ( _
	images As Image(Of Gray, Byte)(), _
	labels As String(), _
	eigenDistanceThreshold As Double, _
	ByRef termCrit As MCvTermCriteria _
)
Visual C++
public:
EigenObjectRecognizer(
	array<Image<Gray, unsigned char>^>^ images, 
	array<String^>^ labels, 
	double eigenDistanceThreshold, 
	MCvTermCriteria% termCrit
)

Parameters

images
Type: array<Emgu.CV..::..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
Type: array<System..::..String>[]()[][]
The labels corresponding to the images
eigenDistanceThreshold
Type: System..::..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
Type: Emgu.CV.Structure..::..MCvTermCriteria%
The criteria for recognizer training

See Also