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Scale-invariant feature transform (SIFT) is an algorithm for detecting and describing local features in images (Lowe, D., IJCV Vol 64(2), pp.91–110, 2004). Key stages for SIFT are the following: (i) scale-space extrema detection, (ii) keypoint localization, (iii) Orientation assignment, and (iv) keypoint descriptor.In this python scripting, I have implemented the SIFT algorithm in python and tested with SIFT-test1.png and SIFT-test2.png image files.

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sift-image-keypoint-feature-extraction

Scale-invariant feature transform (SIFT) is an algorithm for detecting and describing local features in images (Lowe, D., IJCV Vol 64(2), pp.91–110, 2004). Key stages for SIFT are the following: (i) scale-space extrema detection, (ii) keypoint localization, (iii) Orientation assignment, and (iv) keypoint descriptor.In this python scripting, I have implemented the SIFT algorithm in python and tested with SIFT-test1.png and SIFT-test2.png image files.

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