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CvInvokeEigen Method
Computes eigenvalues and eigenvectors of a symmetric matrix

Namespace: Emgu.CV
Assembly: Emgu.CV.World (in Emgu.CV.World.dll) Version: (
public static void Eigen(
	IInputArray src,
	IOutputArray eigenValues,
	IOutputArray eigenVectors = null


Type: Emgu.CVIInputArray
The input symmetric square matrix, modified during the processing
Type: Emgu.CVIOutputArray
The output vector of eigenvalues, stored in the descending order (order of eigenvalues and eigenvectors is syncronized, of course)
eigenVectors (Optional)
Type: Emgu.CVIOutputArray
The output matrix of eigenvectors, stored as subsequent rows
Currently the function is slower than cvSVD yet less accurate, so if A is known to be positivelydefined (for example, it is a covariance matrix)it is recommended to use cvSVD to find eigenvalues and eigenvectors of A, especially if eigenvectors are not required.
To calculate the largest eigenvector/-value set lowindex = highindex = 1. For legacy reasons this function always returns a square matrix the same size as the source matrix with eigenvectors and a vector the length of the source matrix with eigenvalues. The selected eigenvectors/-values are always in the first highindex - lowindex + 1 rows.
See Also