danini / graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

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a question about experimental results of paper

xianbeikuku opened this issue · comments

Dear Dr.Barath:
I am a first year master's student in the Wuhan(China) University and my research topic is photogrammtry and computer vision.
I read your paper "Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures",and run the codes in github.As I find a question about experimental results of paper,I would like to request help from you.
This question is about a pair in the paper, named Fig.4 (a) ExtremeView dataset.In the paper we get a good result. But I can not get a result similar to it(the result in paper), when I test by the codes in github.I show the my reslut in appendix. Is the reason about feature descritor? Because I found that only 19 correspondences were detected in begin.Could you give me some information about this pair?
I would be very grateful indeed for any help you could give me.
best wishes.
Weile Ma
resulf of paper

my reslut

Have you used provided tentative correspondences from here?

http://cmp.felk.cvut.cz/wbs/
IMG_20211128_093052

Yeah, those are, in EVD, quite challenging image pairs also for the feature matcher algorithm.
In the paper, I used the correspondences provided in the dataset. I am not sure what you are using for feature detection, probably, SIFT or ORB, but they definitely are not good enough for this problem.

You can find everything at http://cmp.felk.cvut.cz/wbs/ as Dmytro suggested.

Have you used provided tentative correspondences from here?

http://cmp.felk.cvut.cz/wbs/ IMG_20211128_093052

thanks!