I was thinking that I'll try using CNN for overlapping if similar things are in the image and GAN for the order, but I am sure there must be a better way since this is literally the first approach I thought of.

Comments

Top-Perspective2560 t1_iyqu5e6 wrote on December 3, 2022 at 1:21 PM

This isn’t really a fully developed thought, but how about an autoencoder of some kind? You would want it to accept the two halves of the image as input and reconstruct the full image.

Edit: yeah, seems like that rough approach has been used in this work:

https://www.semanticscholar.org/paper/StitchNet%3A-Image-Stitching-using-Autoencoders-and/d67cd5a13f7671fe56262265c2439a0d75cb89c0

dojoteef t1_iyqulau wrote on December 3, 2022 at 1:25 PM

Check this paper out: https://reddit.com/r/MachineLearning/comments/mnoka6/r_infinitygan_towards_infiniteresolution_image/

PredictorX1 t1_iyr4a7q wrote on December 3, 2022 at 2:51 PM

You may have reasons for specifically using A.I. to do this, but image fusion is well studied in image processing. If you're interested, look into "image registration" and "image fusion".

YourBoyZeus OP t1_iyrac98 wrote on December 3, 2022 at 3:38 PM

I do, since I plan to work with a lot of images of different natures and classification is very important, now if I classify with AI and then do something different for each kind of class of image, the speed is going to be unusable levels of low

Edit: Example- satellite images, normal panorama shots, space images and so on

youngintegrator t1_iyu69c1 wrote on December 4, 2022 at 4:35 AM

Panoramas were originally stitched together using simple feature descriptors like sift / surf and matched / warped using homography with ransac methods. Do you think this would fail for your use cases?

YourBoyZeus OP t1_iyueqy3 wrote on December 4, 2022 at 6:02 AM

It might not really I plan to extend my methods to two dimensions and this will just be a hassle

TopGun_84 t1_iyrxskc wrote on December 3, 2022 at 6:18 PM

Image fusion ... Is it possible to do this real time ? With reasonable accuracy ?

More like live feed into point cloud ?

SLAM like ?

PredictorX1 t1_iyvvu6k wrote on December 4, 2022 at 4:11 PM

It would depend on too many details to say simply 'yes' or 'no', but conventional image fusion would take less computation than CNN or GANN.

TopGun_84 t1_iyvyaiq wrote on December 4, 2022 at 4:29 PM

Any projects that you could recommend ? Pref open source ? OS agnostic ... ?

YourBoyZeus OP t1_iyuenky wrote on December 4, 2022 at 6:01 AM

I mean, of course it's possible we made wifi out of rocks bro

TopGun_84 t1_iyuj21d wrote on December 4, 2022 at 6:52 AM

Amazing 😁