SIFT Algorithm

The SIFT (Scale-Invariant Feature Transform) algorithm is a computer vision technique used to identify and describe unique points in images, called keypoints. It detects features that remain consistent even when the image is scaled, rotated, or viewed from different angles. SIFT works by analyzing the image across multiple scales to find stable features, then creates a distinctive descriptor for each keypoint. This allows for reliable matching of the same object or scene in different images, making it useful for tasks like object recognition, image stitching, and 3D modeling.