Scale-Invariant Feature Transform (SIFT) is a feature detection algorithm in computer vision used to detect and describe local features in images. These features are invariant to image scale and rotation, and robust to changes in illumination, noise, and minor changes in viewpoint. SIFT features are used in various applications, including object recognition, image registration, 3D reconstruction, and robotic mapping.
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