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2013-06-25 17:09:29 -0600 | commented question | Object Detection with Freak (Hamming) My problem is, basically, that I don't know how to use the matches that returns the knnMatch to detect when the object of the image1 is inside the image2 and when isn't. |
2013-06-25 16:20:41 -0600 | asked a question | Object Detection with Freak (Hamming) Hi, I am using FAST and FREAK to get the descriptors of a couple of images and then I apply knnMatch with a cv::BFMatcher matcher(cv::NORM_HAMMING); and next I am using a loop to separate the good matches: I think the problem could be the good matches search method, because using it with the FlannBasedMatcher works fine but with the BruteForceMatcher very weirdly. I'm suspecting that I may be doing a nonsense with these method because Hamming distance uses binary descriptors, but I can't think of a way to adapt it! Any links, snippets, ideas,... please? |