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Face Recognition via Sparse Representation-based Classification (SRC)

申明

Code仅用于学术研究目的,商业使用上的版权问题本人概不负责。有任何的学术方面的讨论,欢迎邮件[email protected]

Code中使用了OpenCV进行底层图像处理,使用了Fast l-1 Minimization Algorithms: Homotopy and Augmented Lagrangian Method -- Implementation from Fixed-Point MPUs to Many-Core CPUs/GPUs, by Allen Y. Yang, Arvind Ganesh, Zihan Zhou, Andrew Wagner, Victor Shia, Shankar Sastry, and Yi Ma进行l-1 Minimization优化。后者申明:

/*% README
% Copyright ©2010. The Regents of the University of California (Regents).
% All Rights Reserved. Contact The Office of Technology Licensing,
% UC Berkeley, 2150 Shattuck Avenue, Suite 510, Berkeley, CA 94720-1620,
% (510) 643-7201, for commercial licensing opportunities.

% Created by Victor Shia, Allen Y. Yang, Department of EECS, University of California,
% Berkeley.

% IN NO EVENT SHALL REGENTS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT,
% SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS,
% ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF
% REGENTS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

% REGENTS SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED
% TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
% PARTICULAR PURPOSE. THE SOFTWARE AND ACCOMPANYING DOCUMENTATION, IF ANY,
% PROVIDED HEREUNDER IS PROVIDED "AS IS". REGENTS HAS NO OBLIGATION TO
% PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
*/

README file for DALM/PALM and Homotopy l1-minimization code
by Victor Shia, Allen Yang

文件说明

./paper目录 两篇有关Sparse Representation-based Classification(SRC)算法的原理

  • PAMI-Face.pdf -> SRC原理
  • YangA_ICIP2010.pdf -> SRC中涉及的L1-Min问题解法,包括DALM算法等

./codes目录 SRC算法具体实现

  • slib静态库工程包括了SRC算法的主要实现,其中L1-Min问题使用的Fast DALM算法
  • train exe工程实现了SRC的训练程序,使用见程序usage
  • test exe工程实现了SRC的测试程序,使用见程序usage
  • test.py文件(./codes/face_recog.SRC/_exe/test.py)实现了SRC算法的批处理测试功能
  • ./codes/face_recog.SRC/_exe/extYaleB目录是extended Yale Face Database B人脸库

[email protected], 6/11/2011

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face_recog.src's Issues

sparse representation via face recognition

i am doing research on face recognition and i saw your work its very nice.

  1. readme file i can't understand properly.
  2. how to do the training and testing using SRC and what the are the input is required
    please help me to carry out my research work.

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