/// <summary>
/// Caculate the eigen images for the specific traning image
/// </summary>
public static void CalcEigenObjects(Bitmap[] trainingImages, int maxIter, double eps, out FloatImage[] eigenImages, out FloatImage avg)
{
int width = trainingImages[0].Width;
int height = trainingImages[0].Height;
if (maxIter <= 0 || maxIter > trainingImages.Length)
{
maxIter = trainingImages.Length;
}
int maxEigenObjs = maxIter;
eigenImages = new FloatImage[maxEigenObjs];
for (int i = 0; i < eigenImages.Length; i++)
{
eigenImages[i] = new FloatImage(width, height);
}
avg = new FloatImage(width, height);
ManagedEigenObjects.CalcEigenObjects(trainingImages, maxIter, eps, eigenImages, null, avg);
}
/// <summary>
/// Decompose the image as eigen values, using the specific eigen vectors
/// </summary>
public static float[] EigenDecomposite(Bitmap src, FloatImage[] eigenImages, FloatImage avg)
{
return(ManagedEigenObjects.EigenDecomposite(src, eigenImages, avg));
}
