Fits two closed curves using Fourier descriptors

[alphaPhiST, d] = obj.estimateTransformation(src, ref)
[...] = obj.estimateTransformation(..., 'OptionName',optionValue, ...)

Input

• src Contour defining first shape (source), or Fourier descriptors if FD is true.
• ref Contour defining second shape (target), or Fourier descriptors if FD is true.

Output

• alphaPhiST transformation as a 5-elements vector [alpha, phi, s, Tx, Ty], where:
  • alpha starting point factor adjustement
  • phi angle rotation in radian
  • s scaling factor
  • Tx, Ty the translation
• d distance between src and ref after matching.

Options

• FD If false then src and ref are contours, and if true src and ref are Fourier descriptors. default false

When FD is false, it applies cv.ContourFitting.contourSampling and cv.ContourFitting.fourierDescriptor to compute Fourier descriptors.

More details in [PersoonFu1977] and [BergerRaghunathan1998].