Improve ORB for rescaling ? (opencv)

asked 2016-09-22 08:49:09 -0500

drKzs gravatar image

Hi,

I have to work on an application of image matching. I'm not specialized at all in image, but I do my best :)

I'm currently replacing sift by another descriptor (and detector).

I have used ORB/ORB, and the results are kinda good, except when there is some rescaling ... That's what I read about ORB, so i'm not surprised.

I am wondering if there's some tests (algo, concept, test ...) to improve the behaviour, like the way ratio test or cross matching improve matching ?

(I'm trying BRISK but the result I have at the moment are worse than ORB, though I still have to play with parameters)

Thanks for any idea/advice :)

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Comments

hmm, it's not actually clear, how you think, rescaling is connected to the choice of feature detectors.

can you try to improve on this ?

berak gravatar imageberak ( 2016-09-22 09:06:05 -0500 )edit

Well your answer is clear to me though : if I well understand, it depends on the detector, so there's nothing I can do except changing of detector, rigth ? So (still if I well understand), your answer is no :) thanks

drKzs gravatar imagedrKzs ( 2016-09-22 10:09:18 -0500 )edit

Thinking about that, I thought it was more depending on the descriptor than on the detector ?

drKzs gravatar imagedrKzs ( 2016-09-22 10:29:41 -0500 )edit