Oriented FAST and rotated BRIEF

Oriented FAST and rotated BRIEF (ORB) is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011,^[1] 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 (Binary Robust Independent Elementary Features). Its aim is to provide a fast and efficient alternative to SIFT.

See also

• Scale-invariant feature transform (SIFT)
• Gradient Location and Orientation Histogram
• LESH - Local Energy based Shape Histogram
• Blob detection
• Feature detection (computer vision)