Robust Face Recognition via Sparse Representation - Implementation

Version 1.0.0.0 (3.67 MB) by B H Sri Hari
Implementation of Robust Face Recognition via Sparse Representation
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Updated 30 Mar 2011

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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 (2024). 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 .

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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FaceRecogTool/

Version Published Release Notes
1.0.0.0