/// <summary>
/// computes covariation matrix of a set of samples
/// </summary>
/// <param name="samples"></param>
/// <param name="covar"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="ctype"></param>
public static void CalcCovarMatrix(InputArray samples, OutputArray covar,
InputOutputArray mean, CovarFlags flags, MatType ctype)
{
if (samples == null)
throw new ArgumentNullException("samples");
if (covar == null)
throw new ArgumentNullException("covar");
if (mean == null)
throw new ArgumentNullException("mean");
samples.ThrowIfDisposed();
covar.ThrowIfNotReady();
mean.ThrowIfNotReady();
NativeMethods.core_calcCovarMatrix_InputArray(samples.CvPtr, covar.CvPtr, mean.CvPtr, (int)flags, ctype);
GC.KeepAlive(samples);
covar.Fix();
mean.Fix();
}
/// <summary>
/// computes covariation matrix of a set of samples
/// </summary>
/// <param name="samples"></param>
/// <param name="covar"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
/// <param name="ctype"></param>
public static void CalcCovarMatrix(Mat[] samples, Mat covar, Mat mean,
CovarFlags flags, MatType ctype)
{
if (samples == null)
throw new ArgumentNullException("samples");
if (covar == null)
throw new ArgumentNullException("covar");
if (mean == null)
throw new ArgumentNullException("mean");
covar.ThrowIfDisposed();
mean.ThrowIfDisposed();
IntPtr[] samplesPtr = EnumerableEx.SelectPtrs(samples);
NativeMethods.core_calcCovarMatrix_Mat(samplesPtr, samples.Length, covar.CvPtr, mean.CvPtr, (int)flags, ctype);
GC.KeepAlive(samples);
GC.KeepAlive(covar);
GC.KeepAlive(mean);
}
/// <summary>
/// computes covariation matrix of a set of samples
/// </summary>
/// <param name="samples"></param>
/// <param name="covar"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
public static void CalcCovarMatrix(InputArray samples, OutputArray covar,
InputOutputArray mean, CovarFlags flags)
{
CalcCovarMatrix(samples, covar, mean, flags, MatType.CV_64F);
}
/// <summary>
/// computes covariation matrix of a set of samples
/// </summary>
/// <param name="samples"></param>
/// <param name="covar"></param>
/// <param name="mean"></param>
/// <param name="flags"></param>
public static void CalcCovarMatrix(Mat[] samples, Mat covar, Mat mean, CovarFlags flags)
{
CalcCovarMatrix(samples, covar, mean, flags, MatType.CV_64F);
}
