Robust Face Recognition via Sparse Representation - Implementation

Version 1.0.0.0 (3,67 Mo) par B H Sri Hari
Implementation of Robust Face Recognition via Sparse Representation
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Mise à jour 30 mars 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.

Citation pour cette source

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. Récupéré le .

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Créé avec R2007b
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FaceRecogTool/

Version Publié le Notes de version
1.0.0.0