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The SIFT feature extractor was introduced by Lowe in 1999. This algorithm provides invariant features and the corresponding local descriptors. The descriptors are then used in the image matching process. We propose an overview of this algorithm: the methodology and the tricky steps of its implementation, properties of the detector and descriptor. We analyze the structure of detected features. We finally compare our implementation to others, including the Lowe’s.

A COMPREHENSIVE AND COMPARATIVE SURVEY OF THE SIFT ALGORITHM - Feature Detection, Description, and Characterization