How does the SIFT algorithm work? | 3D Forensics
The scale-invariant feature transform (SIFT) is a feature detection algorithm in computer vision to detect and describe local features in images.
Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.
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Eugene Liscio from ai2- 3D talks with Cyrill Stachniss - about the SIFT algorithm.
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