Oriented FAST and rotated BRIEF


Oriented FAST and rotated BRIEF is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is based on the FAST keypoint detector and a modified version of the visual descriptor BRIEF. Its aim is to provide a fast and efficient alternative to SIFT.