[−][src]Constant opencv::core::COVAR_SCRAMBLED
pub const COVAR_SCRAMBLED: i32 = 0;
The output covariance matrix is calculated as: The covariance matrix will be nsamples x nsamples. Such an unusual covariance matrix is used for fast PCA of a set of very large vectors (see, for example, the EigenFaces technique for face recognition). Eigenvalues of this "scrambled" matrix match the eigenvalues of the true covariance matrix. The "true" eigenvectors can be easily calculated from the eigenvectors of the "scrambled" covariance matrix.