Rotated BRIEF

Rotated BRIEF (rBRIEF) is an enhancement of the BRIEF feature descriptor used in computer vision to identify and match key points in images. While BRIEF is efficient, it’s sensitive to image rotations, which can lead to mismatches. rBRIEF addresses this by first estimating the orientation of key points, then rotating the sampling pattern accordingly. This way, the descriptor becomes invariant to rotation, making it more reliable for matching features in images taken from different angles. Essentially, rBRIEF improves the robustness of feature recognition, especially when images are rotated or tilted.