Image Matching across Wide Baselines: From Paper to Practice — mentioned by nawgz

Thu, 06 Aug 2020 17:52:51 GMT

Yes, I mostly meant that I don't get a great sense of "how many photos there are" in these datasets. I saw in the paper their citation [13] pointed to https://arxiv.org/pdf/2003.01587.pdf, which in section 3 says the following: We thus build on 25 collections of popular landmarks originally selected in [48,101], each with hundreds to thousands of images. So hundreds to thousands of photos are used, which is a decent quantity, but definitely makes the quality of the result very impressive.

Paper and discussion history. A mention is not an endorsement.

Image Matching across Wide Baselines: From Paper to Practice — mentioned by Rochetshipz

Mon, 09 Mar 2020 07:28:43 GMT

This paper is a bit "old" by the way. An excellent paper was released a week ago : https://arxiv.org/abs/2003.01587 Findings are mostly the same. For day/day images, with a properly tuned pipeline, SIFT is really good.

Paper and discussion history. A mention is not an endorsement.

Image Matching across Wide Baselines: From Paper to Practice · HackerPapers discussions

Image Matching across Wide Baselines: From Paper to Practice — mentioned by nawgz

Image Matching across Wide Baselines: From Paper to Practice — mentioned by Rochetshipz