FAST (Features from Accelerated Segment Test) Corner Detection is an efficient algorithm used in computer vision to identify corner-like features in images, which is particularly useful for real-time applications due to its high speed. It rapidly evaluates a circle of pixels surrounding a candidate pixel, determining if it forms a corner based on brightness conditions, thus making it highly suitable for applications with limited computational resources.