Robust Face Recognition via Sparse Representation - Implementation
Implementation of Robust Face Recognition via Sparse Representation
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In this we implement the face recognition algorithm proposed in
"Robust Face Recognition via Sparse Representation." by
John Wright, Allen Yang, Arvind Ganesh, Shankar Sastry, and Yi Ma. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 2, February 2009.
Procedure:
Step 1) open FaceRecognitionTool.m in MATLAB and run it.
Step 2) Press Train button to load the training images.
Step 3) Once data loaded Press SingleTest button for testing the algorithm once OR press MultiTest for testing the method for many times.
Cite As
B H Sri Hari (2026). Robust Face Recognition via Sparse Representation - Implementation (https://www.mathworks.com/matlabcentral/fileexchange/30893-robust-face-recognition-via-sparse-representation-implementation), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (3.67 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
