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koide3 avatar koide3 commented on August 14, 2024 1

I suppose the cause is the number of points rather than duplicate points. We employed a GaussNewton solver that is fast but sometimes a bit unstable with respect to a large number of points. I applied an approx voxel grid filter (gridsize=0.1m) to your point clouds, then the algorithm worked. We empirically found that the algorithm can be unstable when # of points > 15k.

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koide3 avatar koide3 commented on August 14, 2024

Hi @Hezip ,
Thank you for reporting the issue. Let me confirm that you replaced kdtree.nearestKSearch with octree.approxNearestSearch, then GICP_MT and VGICP didn't work well, right? Can you share your modified code so that I can test it?

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Hezip avatar Hezip commented on August 14, 2024

No code changes.
One of the point cloud I provided was obtained through octree.approxNearestSearch, and there are duplicate points in it.

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Hezip avatar Hezip commented on August 14, 2024

Thank you very much for your answer. After I remove the duplicate points, the effect is better, but I think you are right, it should be related to the GaussNewton solver.

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