SIFT (Scale-Invariant Feature Transform)

The Scale-Invariant Feature Transform (SIFT) is a computer vision technique used to identify and describe distinct features in images. It analyzes an image at various scales to find key points that remain recognizable regardless of changes in scale, rotation, or lighting. By creating a unique "fingerprint" for these features, SIFT allows computers to compare and match images effectively. This technology is useful in applications like object recognition, image stitching, and robotic navigation, helping systems understand and interpret visual information in a way that mimics human perception.