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Nestart avatar Nestart commented on May 20, 2024

Screenshot from 2020-05-26 22-07-46

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ducha-aiki avatar ducha-aiki commented on May 20, 2024

What do you trying to achieve? I think that makes total sense that static scene geometry is easier to find and the method outputs the model with the largest number of correspondences

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Nestart avatar Nestart commented on May 20, 2024

What do you trying to achieve? I think that makes total sense that static scene geometry is easier to find and the method outputs the model with the largest number of correspondences

Thanks for your quick reply.In fact,i want to find the correspondences between the car in image1 and image2,and when i use sift in opencv-python to match ,it finds many correspondences on the car .

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ducha-aiki avatar ducha-aiki commented on May 20, 2024

Then one way would be to crop the car part :)
When you use open-cv sift, what you find is just correspondences. When you use MODS, you find the correspondences, which are consistent with some geometrical model - homography or epipolar geometry. It is by design.
In fact, you can mimic MODS result with opencv sift, if you add homography estimation part:

https://cw.fel.cvut.cz/b192/courses/mpv/labs/2_correspondence_problem/start

image

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Nestart avatar Nestart commented on May 20, 2024

Then one way would be to crop the car part :)
When you use open-cv sift, what you find is just correspondences. When you use MODS, you find the correspondences, which are consistent with some geometrical model - homography or epipolar geometry. It is by design.
In fact, you can mimic MODS result with opencv sift, if you add homography estimation part:

https://cw.fel.cvut.cz/b192/courses/mpv/labs/2_correspondence_problem/start

image

It helps me a lot,i will do more try,Thanks!

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