ORB (Oriented FAST and Rotated BRIEF) is an efficient and rapid feature detection and description algorithm used in computer vision that combines the keypoint detection of FAST (Features from Accelerated Segment Test) with a more rotation-invariant version of BRIEF (Binary Robust Independent Elementary Features). It is particularly useful in real-time applications due to its speed and accuracy, providing a good trade-off between performance and computational efficiency.