Robust Face Recognition via Sparse Representation - Implementation

Versión 1.0.0.0 (3,67 MB) por B H Sri Hari
Implementation of Robust Face Recognition via Sparse Representation
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Actualizado 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.

Citar como

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. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2007b
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FaceRecogTool/

Versión Publicado Notas de la versión
1.0.0.0