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Mastering OpenCV Android Application Programming by Nisarg Thakkar, Salil Kapur

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Binary Robust Invariant Scalable Keypoints

Binary Robust Invariant Scalable Keypoints (BRISK) was conceived by Leutenegger, Chli, and Siegwart to be an efficient replacement to the state-of-the-art feature detection, description, and matching algorithms. The motivation behind BRISK was to develop a robust algorithm that can reproduce features in a computationally efficient manner. In some cases, BRISK achieves comparable quality of feature matching as SURF, while requiring much less computation time.

Scale-space keypoint detection

The BRISK detector is based on the AGAST detector, which is an extension of a faster performance version of FAST. To achieve scale invariance, BRISK searches for the maxima in a scale space using the FAST score(s) as ...

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