SURF (Speeded Up Robust Features)

SURF, or Speeded-Up Robust Features, is a computer vision algorithm designed to detect and describe interesting points in images, like corners or edges. It enables computers to recognize patterns and objects in pictures efficiently, even if they are rotated or scaled. By focusing on the most distinctive features, SURF helps in tasks like image matching, object recognition, and tracking. Its speed and robustness make it useful in various applications, such as robotics, augmented reality, and facial recognition, where precise identification and comparison of images are essential.