Robust Face Recognition via Sparse Representation - Implementation

Versione 1.0.0.0 (3,67 MB) da B H Sri Hari
Implementation of Robust Face Recognition via Sparse Representation
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Aggiornato 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.

Cita come

B H Sri Hari (2025). 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. Recuperato .

Compatibilità della release di MATLAB
Creato con R2007b
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FaceRecogTool/

Versione Pubblicato Note della release
1.0.0.0