Hi all, I need to compute a nonlinear least squares solution for my computer vision project. I am trying to work out the ego motion (x,y,z,roll,pitch,yaw) of my camera system given two observed point sets that represent the same features at time t0 and t1.
I think I need to be using the functions for multidimensional nonlinear least-squares fitting. The thing I am having trouble understanding is how to provide the function(s) to be minimised. If I am trying to compute the partial derivative of x for the i'th point and my function looks something like this: delta_Ci = (u0 + (f * (Xi - delta_x) / Zi)) - (u0 + (f * Xi / Zi)) (where u0 and f are constants). How would I construct a gsl_multifit_function_fdf for this? Any help you can provide would very much appreciated! Regards, James Fitzsimons
signature.asc
Description: This is a digitally signed message part
_______________________________________________ Help-gsl mailing list [email protected] http://lists.gnu.org/mailman/listinfo/help-gsl
