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rsy6318 avatar rsy6318 commented on July 20, 2024

Here is the error reported.

image

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rsy6318 avatar rsy6318 commented on July 20, 2024

Here is the point clouds I have used, which is produced by voxel downsample from 3DMatch dataset.
src_tgt_trans.zip

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zhangxy0517 avatar zhangxy0517 commented on July 20, 2024

Please also provide the input correspondence data.

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rsy6318 avatar rsy6318 commented on July 20, 2024

There is no input correspondence data. I use Open3d to calculate FPFH features and then estimate initial correspondence. Here is my test code, which is modified from example_fpfh_fcgf.py.
main_rmc_1.zip

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zhangxy0517 avatar zhangxy0517 commented on July 20, 2024

If you plan to use downsampled sparse point cloud (5000 points) to calculate FPFH features, downsample should be set to a much bigger value (e.g. 0.25) to ensure FPFH can compute features for the sparse points correctly.

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zhangxy0517 avatar zhangxy0517 commented on July 20, 2024

The bug is fixed, please download the newest code.

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rsy6318 avatar rsy6318 commented on July 20, 2024

Thanks ! I would like to try it !

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rsy6318 avatar rsy6318 commented on July 20, 2024

I have run the fixed python code on 3DMatch dataset and get the results "RE: 2.26 TE: 7.14cm", which is different from the results on the paper. Is it normal? Or could you provide your registration results?

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rsy6318 avatar rsy6318 commented on July 20, 2024

Here is my impliment details. First, we downsample the original point clouds wich voxel size 0.05 and store them. When testing, we calculate the FPFH features and run your fixed codes to get the registration results.

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