Speeded-Up Robust Features

Speeded-Up Robust Features (SURF) is a computer algorithm used to identify and describe key points within images, enabling systems to recognize objects, scenes, or patterns quickly and accurately. It detects distinctive features that are invariant to changes such as scale, rotation, or lighting, making it effective for tasks like image matching, object detection, and tracking. SURF does this efficiently by using mathematical techniques to focus only on important image information, allowing faster processing compared to earlier methods, which is especially useful in real-time applications like robotics, augmented reality, and computer vision systems.