Speeded-Up Robust Features (SURF)

Speeded-Up Robust Features (SURF) is a computer vision algorithm used to detect and describe distinctive points, called keypoints, in images. These keypoints are stable under various changes like scale, rotation, and lighting. SURF recognizes patterns such as corners or blobs, and creates a unique descriptor for each, enabling reliable matching between different images of the same scene or object. It is designed to be fast and efficient, making it useful for tasks like image retrieval, object recognition, and tracking in real-time applications.