I am sorry, but I thought Levenberg marquardt was used quite bit in Image registration. Computing/refining homographies between two related views for instance.
On Wed, Apr 11, 2018 at 12:49 PM, Christian Gollwitzer <aurio...@gmx.de> wrote: > Am 11.04.18 um 08:38 schrieb Priya Singh: > >> I have two 2D arrays one R and another T (which is also a 2D array). >> Do you know how can I fit T with R in order to find central >> coordinate x0,y0 for T relative to R??? >> >> So the main question is do you know in python how can I fit two 2D arrays >> to find >> x0,y0 for one array relative to other. I shall use LM fit in python. But >> for fitting, I need to have some fittable model but here I am having only >> two 2D arrays. I know simple cross-correlation would have solved my problem >> but I have been instructed to do fitting using one array to other. >> > > > The request is nonsense. LM fits an analytical model to data, if you don't > have an analytical model, you need another tool. Cross correlation is > widely used and works well for many such tasks. > > In principle you could also interpolate the one array to new coordinates, > e.g. using scipy.ndimage.interpolation.shift, and minimize the sum of > squared differences. But still LM is the wrong tool here, it would get > trapped in local minima soon, and it uses derivatives. Look for "image > registration" to find typical algorithms used in this context. > > > > Christian > > -- > https://mail.python.org/mailman/listinfo/python-list > -- https://mail.python.org/mailman/listinfo/python-list
