.: Click here to download :.
Facial age estimation is a relatively new research topic
in the area of facial image analysis. Compared with other
facial information such as identity, expression and gender,
estimation of age exhibits certain difficulties. Even a human
observer can rarely guess the exact age of a face image. The
reason is that the facial aging progress could be affected
by various factors, including not only the human gene, but
also many external factors, such as health, lifestyle, weather
conditions, etc. This makes age estimation a unique and
challenging problem.
We have developed a fast and reliable algorithm for age estimation.
Landmark points selection can be done manually or using point file (.pts FGNET file). Code has been tested on
FG-NET Aging Database: using 950 images randomly selected for training
and the remaining 52 images for testing we have obtained a MAE (Mean Absolute Error) equal to 5.77.
Index Terms: Matlab, source, code, age, estimation, face, facial.
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Figure 1. Facial age estimation |
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A simple and effective source code for facial age estimation. |
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Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox and Matlab Neural Network Toolbox are required.
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Release |
Date |
Major features |
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1.0 |
2012.12.30 |
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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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Age Estimation System. Click here for
your donation. In order to obtain the full database you
have to pay a little sum of money: 150 EUROS (less
than 210 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 Age Estimation 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 14 SP1. Matlab Image Processing Toolbox and Matlab Neural Network Toolbox are 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.
