Comments (2)
Sorry that I can't help. The point match ground truth is manually annotated and the annotation tool is a piece of MATLAB code which I do not have access to as I have left the lab.
from cnn-registration.
Great code, thanks for sharing!
However, the filtering of matching feature points and the display of incorrect and correct matching points in blue and yellow respectively mentioned in the article seem to have no function definition. Could you please update this part?
Because I mainly want to use the extracted correctly matched feature points for other tasks!
I can't understand the code well enough to write the function to realize the above functions. If I can receive your share, it will be very helpful to my work. Looking forward to your reply!!
Thank you very much!!
Hi, did you work it out for the problem? The one for the keypoint matching this paper. The author didn't share the codes for the keypoint matching
from cnn-registration.
Related Issues (20)
- how to draw the matches just like done in the paper? HOT 3
- Re-train this code for my own dataset HOT 3
- some modifications for python3 to work HOT 3
- Application for medical images HOT 4
- Train on my dataset? HOT 2
- How can I reduce the execution time of numpy.linalg.norm()? HOT 3
- Unable to resolve simple rigid translations
- Deformation matrix? HOT 1
- requirements versions HOT 4
- display feature detected and prematches like images in the paper HOT 1
- Ideas why results are unsatisfactory? HOT 2
- How to use the RANSAC to remove the mismatching?
- How many sample we can use to train?
- Using CNN-REGISTRATION to produce homography for stitching of images to produce panorama HOT 1
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- How did you compute RMSD, MAD, MED and STD
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- about the result
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from cnn-registration.