SURF (Speeded-Up Robust Features) is a robust local feature detector and descriptor used in computer vision tasks, known for its speed and efficiency in object recognition and image registration. It enhances the Scale-Invariant Feature Transform (SIFT) by using an integral image and approximating the determinant of the Hessian matrix for faster computation.