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However, after reading your paper, I'm confusing about the key point matching step:
How can you guarantee that the K key points appeared in both point clouds are the same points? What if they are not coincident? Matching those points may produce large error.
In my opinion, the current algorithm dose not apply to point clouds with smaller overlaps, as mentioned in #3 and #4 . As previous methods, finding the correct matching is always a bottleneck.
The text was updated successfully, but these errors were encountered:
Hi, thanks for your paper and code!
However, after reading your paper, I'm confusing about the key point matching step:
How can you guarantee that the K key points appeared in both point clouds are the same points? What if they are not coincident? Matching those points may produce large error.
In my opinion, the current algorithm dose not apply to point clouds with smaller overlaps, as mentioned in #3 and #4 . As previous methods, finding the correct matching is always a bottleneck.
The text was updated successfully, but these errors were encountered: