# Revision history [back]

### cluster similar keypoints in a set of near similar images

Hello, in a project I'm using SURF to extract keypoints from a set of near similar images. The images are near similar, so they have a lot of similar keypoints and a few keypoints that are different. My goal is to find groups of keypoints that matched by all images

is there an idea how to solve this? I can't use kmeans, because i doesn't know something about the k

### cluster similar keypoints in a set of near similar images

Hello, in a project I'm using SURF to extract keypoints from a set of near similar images. The images are near similar, so they have a lot of similar keypoints and a few keypoints that are different. My goal is to find groups of keypoints that matched by all images

is there an idea how to solve this? I can't use kmeans, because i doesn't know something about the k

UPDATE

My current approach is using a bruteforce-matcherto find the good matches of each image. I compare all images with each other. But it is very difficut to save the intersection from all good matches of all images. Is there a datastructure that can help me to solve this problem?