Hi Martin,
unfortunately I don't have any example code to share right now...
I've seen from wikipedia that c++ and matlab implementation exist, maybe
you can take a look.
I can guarantee that if you have good feature points, the algorithm is
going to run fast and give good results.
I had done a lot of work to extract "significant" feature points from my
clouds.
What I can also suggest is to try some of the variants suggested here,
they really improve speed and stability:
Efficient Variants of the ICP Algorithm
<http://graphics.stanford.edu/papers/fasticp/>
<http://graphics.stanford.edu/papers/fasticp/>
Good luck!
Ricky
On 29/04/2009 15.13, Martin Beckett wrote:
In my application I know that the points are an almost perfect match - I just
need to snap two models together based on key points.
ICP is good for fitting surfaces together (although there are a bunch of other
relaxation type algorithms that work).
I was mainly looking for something that could be implemented fairly simply
rather than having to include the whole of CGAL or LAPACK.
Martin
ps. If you have some ICP example code - that would be great!
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