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I have been reading information about FREAK descriptor and I understand it is a binary descriptor that claims to be more robust than previous descriptors.

Reading the publication I noticed that they use a scale-space FAST (that works in pyramids with the image scale) detector for evaluation of FREAK. That means that they detect keypoints with fast and then compute descriptors with FREAK.

QUESTION

I don't understand then which is the aim of the OpenCV function

FREAK::selectPairs(images, keypoint, corrTresh, verbose);

Is this supossed to be a kind of detector for FERAK? Which are the input/output parameters of the function?

I have been reading information about FREAK descriptor and I understand it is a binary descriptor that claims to be more robust than previous descriptors.

Reading the publication I noticed that they use a scale-space FAST (that works in pyramids with the image scale) detector for evaluation of FREAK. That means that they detect keypoints with fast FAST and then compute descriptors with FREAK.

QUESTION

I don't understand then which is the aim of the OpenCV function

FREAK::selectPairs(images, keypoint, corrTresh, verbose);

Is this supossed to be a kind of detector for FERAK? Which are the input/output parameters of the function?

I have been reading information about FREAK descriptor and I understand it is a binary descriptor that claims to be more robust than previous descriptors.

Reading the publication I noticed that they use a scale-space FAST (that works in pyramids with the image scale) detector for evaluation of FREAK. That means that they detect keypoints with FAST and then compute descriptors with FREAK.

QUESTION

I don't understand then which is the aim of the OpenCV function

FREAK::selectPairs(images, keypoint, corrTresh, verbose);

Is this supossed to be a kind of detector for FERAK? FREAK? Which are the input/output parameters of the function?