I applied ICP-based model fitting to my project as explained in Tutorial 11 (Model fitting with Iterative Closest Points).
In this tutorial, uniformly distributed points on the surface are used to establish correspondence. I applied this method to my project, but for some cases, I don't get good fitting though increasing the number of iterations.
In this article,
it explains that known observations can be used a deformation prior to improve the registration (as far as I understand).
How can I include my predefined anatomical landmarks as deformation prior in the ICP-approach ? As I'd like to get as much as registration accuracy as possible, does the combination of those dense points with my very sparse known landmarks improve the fitting ?
Also, in Tutorial 12, the approach (gradient-based registration) do not use dense points anymore. Would it better to use both landmarks and dense point as in Tutorial 11 to improve the accuracy ?
Thank you very much.