https://github.com/choyingw/gd-haslr
Pattern Recognition 2018 paper
https://github.com/choyingw/gd-haslr
computer-vision face-recognition low-rank-representation occluded pattern-recognition recognition sparse-coding sparse-representations
Last synced: about 1 month ago
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Pattern Recognition 2018 paper
- Host: GitHub
- URL: https://github.com/choyingw/gd-haslr
- Owner: choyingw
- License: apache-2.0
- Created: 2019-06-06T06:12:50.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-07-15T05:58:05.000Z (almost 6 years ago)
- Last Synced: 2025-02-16T22:24:09.659Z (4 months ago)
- Topics: computer-vision, face-recognition, low-rank-representation, occluded, pattern-recognition, recognition, sparse-coding, sparse-representations
- Language: MATLAB
- Homepage:
- Size: 15.6 KB
- Stars: 2
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Occluded-Face-Recognition-Using-Low-rank-Regression-with-Generalized-Gradient-Direction
This is the code for our Pattern Recognition 2018 paper
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This code is for Cho-Ying Wu, “Occluded face recognition using low-rank regression with generalized gradient direction,"
including codes as follows:
main.m : Parameters are explained in the comment
FastSolver.m: For ADMM solver
FastLasso.m: Fast Lasso Solver
igo,igo2,igo3.m : For generalized gradient direction
pen_NIG.m: Definition of NIG penalization.
nuc_norm: Nuclear norm.
shrink.m: Soft-Shrinkage operator.
If you find our work useful, please consider citing:
@article{wu2018occluded,
title={Occluded face recognition using low-rank regression with generalized gradient direction},
author={Wu, C. Y. and Ding, J. J.},
journal={Pattern Recognition},
volume={80},
pages={256--268},
year={2018},
publisher={Elsevier}
}
For any questions, please contact the author Cho-Ying, Wu: [email protected]