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I actually experience the same problem with matching ORB on different scales.
@jensenb: even if 9 levels were used, it might take more time to process but at the end the features on the 3rd or 4th level should match. shouldn't they?
I corss-match each image with the other using the KNN-2 BruteForce-Hamming, then I filter the matches based on the ratio-test between the first and the second neighbor with a ratio equals to 0.6. And I never could find a match with such distance.
If you have managed to get this working before can you summarize the steps mentioning the detector parameters and the matching procedure?
