Performs PCA analysis of the vector set. First, it uses cvCalcCovarMatrix to compute covariation matrix and then it finds its eigenvalues and eigenvectors. The output number of eigenvalues/eigenvectors should be less than or equal to MIN(rows(data),cols(data)).

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 static void cvCalcPCA(
	IntPtr data,
	IntPtr avg,
	IntPtr eigenvalues,
	IntPtr eigenvectors,
	PCA_TYPE flags
)
Public Shared Sub cvCalcPCA ( _
	data As IntPtr, _
	avg As IntPtr, _
	eigenvalues As IntPtr, _
	eigenvectors As IntPtr, _
	flags As PCA_TYPE _
)
public:
static void cvCalcPCA(
	IntPtr data, 
	IntPtr avg, 
	IntPtr eigenvalues, 
	IntPtr eigenvectors, 
	PCA_TYPE flags
)

Parameters

data
IntPtr
The input data; each vector is either a single row (CV_PCA_DATA_AS_ROW) or a single column (CV_PCA_DATA_AS_COL).
avg
IntPtr
The mean (average) vector, computed inside the function or provided by user
eigenvalues
IntPtr
The output eigenvalues of covariation matrix.
eigenvectors
IntPtr
The output eigenvectors of covariation matrix (i.e. principal components); one vector per row.
flags
PCA_TYPE

[Missing <param name="flags"/> documentation for "M:Emgu.CV.CvInvoke.cvCalcPCA(System.IntPtr,System.IntPtr,System.IntPtr,System.IntPtr,Emgu.CV.CvEnum.PCA_TYPE)"]

See Also