Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by

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Summary

The Scale-Invariant Feature Transform (or SIFT) algorithm is a highly robust method to extract and consequently match distinctive invariant features from images that can then be used to reliably match objects in diering images.

Type
article
Published
2011-01-01
Cited by
11,835
References
23

Keywords

Scale-invariant feature transform, Artificial intelligence, Computer vision, Invariant (physics), Scale invariance

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