.: Click here to watch a video tutorial :.
We have developed a fast and optimized algorithm to perform face identification using Minimum Average Correlation Energy (MACE) filtering technique. The performances of the
proposed algorithm are evaluated using Facial Expression Database
collected at the Advanced Multimedia Processing Lab at Carnegie Mellon University (CMU). Database consists of 13 subjects, each with 75 images. The size of
each image is 64×64 pixels, with 256 grey levels per pixel. We have achieved an EER equal to 3.50%. All code has been developed in Octave language.
Function list
Function name: [out]=faceverification(filename1,filename2)
Inputs: filename1: complete filename of first image, filename2: complete filename of second image
Ouputs: out: verification result, 1 for matching, 0 for non matching.
Description: This function receives as input filenames of input images and it returns 1 if images match, 0 otherwise.
Function name: [out]=facerecognition(filename)
Inputs: filename: complete filename of input image
Ouputs: out: recognition result, the ID of recognized face.
Description: This function receives as input filename of input image and it returns the ID of recognized image present in database.
If input image is not recognized code returns 0. Database has to include at least one image.
Function name: addtodatabase(filename,ID)
Inputs: filename: complete filename of input image, ID: face ID
Ouputs: none
Description: This function adds a facial image to database.
Function name: databaseinfo()
Inputs: none
Ouputs: none
Description: This function shows all facial images present in database. For each image ID and path are shown.
Function name: deletedatabase()
Inputs: none
Ouputs: none
Description: This function removes database from disk.
Other functions are available on request, such as: score visualization, score output, TOP-N face recognition, image enhancement.
Index Terms: Octave, source, code, correlation, filters, automated, face, identification, system.
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Figure 1. Correlation color coding for facial image |
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A simple and effective source code for Optimized Face Identification. |
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Release |
Date |
Major features |
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1.0 |
2011.07.24 |
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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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Optimized Face Identification - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 400 EUROS (less
than 560 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 Optimized Face Identification. Alternatively, you can bestow using our banking coordinates:
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All the code provided is written in Octave
language (M-files and/or M-functions), with no dll or other
protected parts of code (executables). The code was
developed with Octave 3.2.4. 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.
