What is the use of sift feature extraction?
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The scale-invariant feature transform (SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was patented in Canada by theUniversity of British Columbia[1] and published by David Lowe in 1999.
Applications include object recognition,robotic mapping and navigation, image stitching, 3D modeling, gesture recognition,video tracking, individual identification of wildlife
Applications include object recognition,robotic mapping and navigation, image stitching, 3D modeling, gesture recognition,video tracking, individual identification of wildlife
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