public static void EigenVV(
	CvArr mat,
	CvArr evects,
	CvArr evals,
	double eps,
	int lowindex
)

Public Shared Sub EigenVV ( 
	mat As CvArr,
	evects As CvArr,
	evals As CvArr,
	eps As Double,
	lowindex As Integer
)

public:
static void EigenVV(
	CvArr^ mat, 
	CvArr^ evects, 
	CvArr^ evals, 
	double eps, 
	int lowindex
)

static member EigenVV : 
        mat : CvArr * 
        evects : CvArr * 
        evals : CvArr * 
        eps : float * 
        lowindex : int -> unit 

Parameters

mat

Type: OpenCvSharpCvArr
The input symmetric square matrix. It is modified during the processing.

evects

Type: OpenCvSharpCvArr
The output matrix of eigenvectors, stored as a subsequent rows.

evals

Type: OpenCvSharpCvArr
The output vector of eigenvalues, stored in the descending order (order of eigenvalues and eigenvectors is synchronized, of course).

eps

Type: SystemDouble
Accuracy of diagonalization (typically, DBL_EPSILON=≈10-15 is enough).

lowindex

Type: SystemInt32
Optional index of largest eigenvalue/-vector to calculate.

Reference