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All the detector-free matchers (loftr, se2-loftr, roma) work only on image pairs. Therefore, these approaches currentely return matches on each pair of images with multiplicity (track length) of 2. We should think of some approaches to track the same matched feature on all the images and increase robustness of dense reconstruction.
All the detector-free matchers (loftr, se2-loftr, roma) work only on image pairs. Therefore, these approaches currentely return matches on each pair of images with multiplicity (track length) of 2. We should think of some approaches to track the same matched feature on all the images and increase robustness of dense reconstruction.
A possible approach is to implement some kind of binning of the features, as Dmytro Mishkin did in
https://github.com/ducha-aiki/imc2023-kornia-starter-pack
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