Robust Face Recognition via Sparse Representation - Implementation

Implementation of Robust Face Recognition via Sparse Representation

Vous suivez désormais cette soumission

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 (2026). Robust Face Recognition via Sparse Representation - Implementation (https://fr.mathworks.com/matlabcentral/fileexchange/30893-robust-face-recognition-via-sparse-representation-implementation), MATLAB Central File Exchange. Extrait(e) le .

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Version Publié le Notes de version Action
1.0.0.0