Scale-Invariant Feature Transform (SIFT) is a computer vision algorithm used to detect and describe local features in images, making it robust to changes in scale, rotation, and illumination. It is widely used in image matching and object recognition tasks due to its ability to generate distinctive and invariant keypoints across different viewing conditions.
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