You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm using CPD to do nonrigid registration of 3D point clouds. First I register them rigidly, so they match pretty well at the start. According to my benchmark, the best parameters to be used for my datasets are like this:
When I look at the output of each iteration, in the beginning the moving point cloud gets distorted to fit completely inside the fixed point cloud. The resulting registration looks good but I wonder what happens before the first iteration and if I might be using the algorithm wrong.
Here is an illustration of what I mean. It's all points of the point clouds projected on (x, y) plane. On the second plot pink and blue colors should be the other way around but I hope you see what I mean.
The text was updated successfully, but these errors were encountered:
Hello,
Thank you for a great library!
I'm using CPD to do nonrigid registration of 3D point clouds. First I register them rigidly, so they match pretty well at the start. According to my benchmark, the best parameters to be used for my datasets are like this:
cpd.registration_cpd(source_pt, target_pt, use_cuda=use_cuda, maxiter=args.maxiter, tf_type_name="nonrigid", w=0.0001, beta=1000, lmd=0.1)
When I look at the output of each iteration, in the beginning the moving point cloud gets distorted to fit completely inside the fixed point cloud. The resulting registration looks good but I wonder what happens before the first iteration and if I might be using the algorithm wrong.
Here is an illustration of what I mean. It's all points of the point clouds projected on (x, y) plane. On the second plot pink and blue colors should be the other way around but I hope you see what I mean.
The text was updated successfully, but these errors were encountered: