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Recently non-negative matrix factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition.
NMF aims to find two non-negative matrices whose product can well approximate the original matrix. The sizes of these two matrices are usually
smaller than the original matrix. This results in a compressed version of the original data matrix. The solution of NMF yields a natural parts-based
representation for the data. When NMF is applied for data representation, a major disadvantage is that it fails to consider the geometric structure
in the data. Non-negative Matrix Factorization is a promising approach for face recognition in that it is capable of extracting
the local features by factorizing the nonnegative matrix into two nonnegative matrices.
Index Terms: Matlab, source, code, face, facial, recognition, NMF, non-negative, matrix, factorization.
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Figure 1. Non-negative components |
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A simple and effective source code for NMF Face Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2014.06.08 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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NMF Face Recognition System - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 120 EUROS (less
than 168 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of NMF Face Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 2006a. Matlab Image Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
