Keywords

#scale-invariant_feature_transform

Scale-invariant feature transform

Feature detection algorithm in computer vision

The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented 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 and match moving.

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Scale-invariant feature transform Outline of object recognition Scale invariance Histogram of oriented gradients Speeded up robust features Feature (computer vision) Blob detection Sift (disambiguation) Oriented FAST and rotated BRIEF Scale space
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