Datasets NxN Data Fitting

Hello,

I'm trying to find a solution for fitting 2 sets of 3D datas. Best fit is corresponding of translation and rotation to do to achieve the best overlaping.

The 2 sets of datas to fit (see file attached) : 1) x1 (NxN) y1 (NxN) z1 (NxN)

2) x2 (NxN) y2 (NxN) z2 (NxN)

I'm looking for a 3rd data fit matrix (x3,y3,z3) with the same dimensions.

I have seen multiple function procrustes, rot3dfit, kabash algorithm but I have some difficulties to use it.

Thank you for your help!

Anthony

Answer 1

[ANTHONY]

I have used the Iterative Closest Point m files. (<http://www.mathworks.com/matlabcentral/fileexchange/27804-iterative-closest-point#comments>)

It seems to work well and corresponding to my need (if it could help you)

Anthony