Submitted by YourBoyZeus t3_zbg2yz in MachineLearning
PredictorX1 t1_iyr4a7q wrote
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
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
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Edit: Example- satellite images, normal panorama shots, space images and so on
youngintegrator t1_iyu69c1 wrote
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
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
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
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
Any projects that you could recommend ? Pref open source ? OS agnostic ... ?
YourBoyZeus OP t1_iyuenky wrote
I mean, of course it's possible we made wifi out of rocks bro
TopGun_84 t1_iyuj21d wrote
Amazing 😁
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