Fuzzy SIFT keypoint matching

Version 1.0.1 (1.68 KB) by Seba Susan
Fuzzy SIFT keypoint matching (Published work: IET image processing, 2015)
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Updated 17 Nov 2020

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Fuzzy SIFT keypoint matching (Published work: IET image processing, 2015).
Consider the sum of fuzzy values as the match index between two images image 1 and image 2 rather than the number of matching keypoints.
As per this work, all keypoints are important and contribute to the matching process. The returned value num quantifies the magnitude or strength of the match between two images.
If using this code, please cite as: Susan, Seba, Abhishek Jain, Aakash Sharma, Shikhar Verma, and Siddhant Jain. "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision." IET Image Processing 9, no. 11 (2015): 951-958.
Instruction: insert this program instead of the original match.m in David Lowe's SIFT implementation SIFTDemov4 at: https://www.cs.ubc.ca/~lowe/keypoints/

Cite As

Seba Susan (2025). Fuzzy SIFT keypoint matching (https://se.mathworks.com/matlabcentral/fileexchange/82933-fuzzy-sift-keypoint-matching), MATLAB Central File Exchange. Retrieved .

Susan, Seba, Abhishek Jain, Aakash Sharma, Shikhar Verma, and Siddhant Jain. "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision." IET Image Processing 9, no. 11 (2015): 951-958.

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Version Published Release Notes
1.0.1

Publication details added
1.0.0