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tejus-gupta avatar tejus-gupta commented on June 4, 2024

SIFT and SURF are patented [1], [2] and hence can't be used freely (for commercial purposes; research is fine) without permission. I am not sure whether they can be included here. What do you think, @timholy?

FREAK and BRISK are excellent alternatives to SIFT/SURF and are available in ImageFeatures.jl.

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timholy avatar timholy commented on June 4, 2024

They can't be in this package because it has an MIT license, and that isn't going to change. However, one could start a SIFTFeatures.jl or PatentedImageFeatures.jl 😉 package with a different license. Contributions welcome!

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juliohm avatar juliohm commented on June 4, 2024

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zsz00 avatar zsz00 commented on June 4, 2024

ok, I See.

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timholy avatar timholy commented on June 4, 2024

Should we add this information to the docs or the README?

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zsz00 avatar zsz00 commented on June 4, 2024

I think there should be more information in the README .

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BASS10 avatar BASS10 commented on June 4, 2024

So as far as I can tell, the SIFT patent has now expired (in the time since this thread was last active). Is there anything else standing in the way, or could SIFT now be added to ImageFeatures? I would be interested in helping in any way I can. I'm fairly new to Julia though so I can't vouch for how much use I would actually be, but the offer is there.

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timholy avatar timholy commented on June 4, 2024

Thanks for the offer! Can you supply a reference for the expiration of the patent?

Does SIFT offer advantages over the feature-detectors already here? (I'm aware that it's widely used.)

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BASS10 avatar BASS10 commented on June 4, 2024

Thanks for replying so quickly. The patent reference above from @tejus-gupta now shows the status as expired.
https://patents.google.com/patent/US6711293

I'm interested in SIFT for photogrammetry, where it seems to be one of the standard choices.

Having had a brief play with the lighthouse examples I've found the existing feature detectors don't seem very robust for scale transformations. Perhaps adjusting the parameters would help, I haven't tried much of that yet. I'm hopeful that SIFT might help.

Since the patent has expired, it would be nice to have an implementation in Julia and this seems like a good place for it to live.

I will try to get my head around the existing codebase in the meantime; but no promises! Any direction would be welcome.

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kmsquire avatar kmsquire commented on June 4, 2024

At the time SIFT came out, it was groundbreaking, and it was better than most descriptors that came after it for quite a while, extensions to SIFT itself notwithstanding.

I didn’t follow it closely after a while, and I haven’t kept track of what’s in this package, but my understanding is that other descriptors eventually caught up, although I haven’t looked for/at any recent comparisons.

I think it would be nice to have SIFT here. It would be nice to include in comparisons, and there were some nice extensions that (I think) were not patented, and that could also be included.

That said, I don’t personally have time to contribute any of these, beyond giving references (so thank you to @BASS10 for volunteering!).

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orkolorko avatar orkolorko commented on June 4, 2024

@BASS10 I'm interested in helping

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jenkspt avatar jenkspt commented on June 4, 2024

Here's a pretty straightforward implementation of SIFT in pytorch.
https://kornia.readthedocs.io/en/latest/_modules/kornia/feature/siftdesc.html#SIFTDescriptor

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