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/
引用格式
Seba Susan (2024). Fuzzy SIFT keypoint matching (https://www.mathworks.com/matlabcentral/fileexchange/82933-fuzzy-sift-keypoint-matching), MATLAB Central File Exchange. 检索来源 .
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.
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!