ORB

ORB (Oriented FAST and Rotated BRIEF) is a computer algorithm used to identify and describe key points or features in digital images, such as corners or edges. It is designed to be fast and efficient, enabling applications like object recognition, image matching, and tracking in real-time systems. ORB combines the FAST detector for quick feature detection with the BRIEF descriptor, which encodes the features for comparison. Additionally, it incorporates orientation information to ensure consistency despite object rotation. This makes ORB a practical choice for tasks requiring reliable identification of visual features across different images or perspectives.