I have compiled and implemented this tutorial: http://docs.opencv.org/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.html
My objective has been to compare a number of pairs of images to identify which ones are the same image (Identical image but can be slightly modified - cropped, brightness, text ontop).
I thought that if I gathered the number of "good matches" when comparing 2 images this might give me a measure on how similar they are. Im finding that this is not the case, I have non matches with 400 good match references and matches that have 15 good match references.
I guess this may depend on the image content as to how many feature points are found.
Im keen to see how SURF/SIFT can identify identical images, Any advice on how to get an output of "Match" or "Non match"?
Any distance number that i can tune with my image set would be ideal