[−][src]Function opencv::core::calc_covar_matrix

pub fn calc_covar_matrix(
    samples: &dyn ToInputArray, 
    covar: &mut dyn ToOutputArray, 
    mean: &mut dyn ToInputOutputArray, 
    flags: i32, 
    ctype: i32
) -> Result<()>

Calculates the covariance matrix of a set of vectors.

The function cv::calcCovarMatrix calculates the covariance matrix and, optionally, the mean vector of the set of input vectors.

Parameters

  • samples: samples stored as separate matrices
  • nsamples: number of samples
  • covar: output covariance matrix of the type ctype and square size.
  • mean: input or output (depending on the flags) array as the average value of the input vectors.
  • flags: operation flags as a combination of #CovarFlags
  • ctype: type of the matrixl; it equals 'CV_64F' by default.

See also

PCA, mulTransposed, Mahalanobis @todo InputArrayOfArrays

Overloaded parameters

Note: use #COVAR_ROWS or #COVAR_COLS flag

  • samples: samples stored as rows/columns of a single matrix.
  • covar: output covariance matrix of the type ctype and square size.
  • mean: input or output (depending on the flags) array as the average value of the input vectors.
  • flags: operation flags as a combination of #CovarFlags
  • ctype: type of the matrixl; it equals 'CV_64F' by default.

C++ default parameters

  • ctype: CV_64F