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Would it be possible to use lightglue in order to match keypoints obtained from LoFTR (or other semi-dense/dense matchers, not only sparse) ?
I know they already provided the matches and not only the detection, but there are still wrongly matched points in most cases and maybe LightGlue could filter them.
The text was updated successfully, but these errors were encountered:
Hey, we have never tried this but it might be possible. Given the keypoints from both images, You would need to interpolate descriptors from a dense descriptormap (e.g. the one from SuperPoint). Then you can run LightGlue. Please let me know how well this works, I am also curious :)
I guess re-training with LoFTR kpts would lead to even better results, but if we can use lightglue to filter the outliers from SPpoint its already a good thing (I noticed that loftr can often produce some wrong matches).
Would it be possible to use lightglue in order to match keypoints obtained from LoFTR (or other semi-dense/dense matchers, not only sparse) ?
I know they already provided the matches and not only the detection, but there are still wrongly matched points in most cases and maybe LightGlue could filter them.
The text was updated successfully, but these errors were encountered: