Ask Your Question

Revision history [back]

click to hide/show revision 1
initial version

most reliable matching criteria for object identification in features2d

Hi,

I am trying to use features2d for object identification, but am unable to find a clear way for determining if the two objects match. I looked on the forums, and someone suggested using a ratio of inliers/(total key points) as a method of determining match/no match. However, I find that it doesn't always work. Even if I use a certain %age as a threshold, I either miss correct matches, or get false matches as the number of points/matches vary for each new image. Are there any better approaches to this? I am using distance based filtering, symmetric filtering, and RANSAC to arrive at the final keypoints. I understand that it is not an exact method, but am looking to improve my results.

Thanks.

most a reliable matching criteria for object identification in features2d

Hi,

I am trying to use features2d for object identification, but am unable to find a clear way for determining if the two objects match. I looked on the forums, and someone suggested using a ratio of inliers/(total key points) as a method of determining match/no match. However, I find that it doesn't always work. Even if I use a certain %age as a threshold, I either miss correct matches, or get false matches as the number of points/matches vary for each new image. Are there any better approaches to this? I am using distance based filtering, symmetric filtering, and RANSAC to arrive at the final keypoints. I understand that it is not an exact method, but am looking to improve my results.

Thanks.