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Hi,

I ve wirtten some code to compute SIFT decriptors from images and then compute the homography matrix from the 'good matches'. My goal is to distinguish between 2 classes (different and same) images.

[H, mask ]= findHomography(...)

However the values returned in mask are almost the same (number of inliers between 4-8) for both 'same' and 'different'.

My procedure was to check the number of inliers in mask ... but is that the correct way? Or should I apply the Homography to my image and rereun RANSAC and retest or simething like that ?

best regards,

Hi,

I ve wirtten some code to compute SIFT decriptors from images and then compute the homography matrix from the 'good matches'. My goal is to distinguish between 2 classes (different and same) images.

[H, mask ]= findHomography(...)

However the values returned in mask are almost the same (number of inliers between 4-8) for both 'same' and 'different'.

My procedure was to check the number of inliers in mask ... but is that the correct way? Or should I apply the Homography to my image and rereun rerun RANSAC and retest or simething something like that ?

the so-called 'back-projection error'? If yes can you provide some hints about the threshold to use? best regards,

Hi,

I ve wirtten some code to compute SIFT decriptors from images and then compute the homography matrix from the 'good matches'. My goal is to distinguish between 2 classes (different and same) images.

[H, mask ]= findHomography(...)

However the values returned in mask are almost the same (number of inliers between 4-8) for both 'same' and 'different'.

My procedure was to check the number of inliers in mask ... but is that the correct way? Or should I apply the Homography to my image and rerun RANSAC and retest something like the so-called 'back-projection error'? If yes can you provide some hints about the threshold to use? best regards,use?

Best regards. O.