Oriented FAST

Oriented FAST (Briefly, FAST stands for Features from Accelerated Segment Test) is a computer vision technique used to identify key points, or features, in images—like corners or edges—that are distinctive and stable. It quickly detects these features by examining a circle around each pixel to see if there's a significant difference in brightness compared to neighboring points. The "oriented" aspect means it assigns a consistent direction to each feature, making it easier to match the same features across different images despite changes in rotation. This method is efficient and commonly used in tasks like object recognition and image stitching.