Robust Face Recognition via Sparse Representation - Implementation

Implementation of Robust Face Recognition via Sparse Representation

現在この提出コンテンツをフォロー中です。

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.

引用

B H Sri Hari (2026). Robust Face Recognition via Sparse Representation - Implementation (https://jp.mathworks.com/matlabcentral/fileexchange/30893-robust-face-recognition-via-sparse-representation-implementation), MATLAB Central File Exchange. に取得済み.

一般的な情報

MATLAB リリースの互換性

  • すべてのリリースと互換性あり

プラットフォームの互換性

  • Windows
  • macOS
  • Linux
バージョン 公開済み リリース ノート Action
1.0.0.0