Re: matching 3d points



reduce the problem to two dimensions, since it is only translation with
no scale or rotation (so you say). Since the z axis is assumed to be
the same direction, one can use simple correlation or other 2-d
approaches for point sets to get the x-y translation, and then search
across z. However, this will only work well if there trul;y is no
rotation or scaling involved
sachinlara@xxxxxxxxx wrote:
Hi All,
I'm facing a problem in matching two sets of points (three
dimensional) containing different number of elements. I have to find
the three translation parameters to be applied on the points of set "A"
such that it is close to the points of set "B". Is it possible to
obtain a direct closed form expression for the translation parameters
or do I have to find the Hausdorff distance for all the possible
translations and pick the optimum value? ( The points undergo only
translations, no rotations or scaling is involved ) Any suggestions or
references will be of great help.

Sachin

.



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