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A tutorial on iterative closest point using Python
hello. thanks for share your icp work.
but this is difference from the icp which can work on two set of different pointclouds.
so how do i get the point correspondence between two different cloud is the problem
Hello author, I am studying ICP algorithm recently and I have learned a lot from your work. I have some questions. I cannot understand the mean of output sucn as print (np.transpose(initial))
in basicICP.py. If I want to get R,what can I do please? I'm looking forward to hearing you.Thank you!
Hi,I am studying icp use gauss newton.I found your job, it is good.In basicICP.py ,line 185, how do you solve jacobi for Euler angles? Do you have some references? Thank you!
Your rotation is represented by Euler angle, but you directly multiply them with other variables, what does that mean?
And it seems like you are doing cross product between normal vector and source point, should it be inner product instead so as to compute distance?
Hi !
Thanks and appreciate your work on Python ICP.
May I ask 2 questions regarding this work?
What I have now are two different RGB and Depth images from two different angle. I want to find out the rotation and transformation.
could you please tell me whether this algorithm could be used to align two TSNE data which are 2d or not ?
best regards
rebeen
Hi, i came across your work on ICP for python.
I have tried running it however the results are given in numbers instead of plot diagram. Is there any ways the points can be plotted out into a visual diagram?
Look forward to your reply soon.
Thank you.
Hi, it is found each normal vector length doe not equal to 1 and lengths are different from each other. It is assumed the normal vector starts at a special point instead of the origin [0,0,0]. I wonder how to get normal vectors.
Thanks!
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