CODEWITHSUNDEEP
opencvmatchfeature-detection
Ozum Safa
Ozum Safa

Reputation: 1518

Feature Detection Reliability

I have been trying to detect some features of an image and another image which is created by rotating the other image by 90 degrees. My aim was to confirm that OrbFeatureDetector with BriefFeatureExtractor is actually rotation invariant. However, literally, I have 0 good match. Not even one combination of 4 point matches correspond to a transformation matrix. I wanted to know if it is actually possible that there could be no good matches between an image and it's rotated version.

I could post codes, but I am pretty sure I have no errors with my code, it's just there are 0 matches. And also I wouldnt want to bother you with raw code.

Thanks for ideas.

GOod day.

Upvotes: 0

Views: 202

Answers (1)

AD-530
AD-530

Reputation: 1071

According to part 4 of BRIEF: Binary Robust Independent Elementary Features the descriptor "...is not designed to be rotationally invariant ..." but "Nevertheless ... it tolerates small amounts of rotation". So yes, it's possible and very likely that you get no matches with a rotation of 90 degress.

Upvotes: 1

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