.: Click here to download :.
Face detection continues to be one of the most popular research areas of computer vision and machine learning. Along
with the development of face detection algorithms, a comparatively large number of face databases have been collected.
Face detection algorithms typically have to be trained on face and nonface images to build up an internal representation of
the human face. According to a recent survey of face detection algorithms, popular choices are the FERET, MIT, ORL, Harvard, and AR databases.
Along with these public databases, independently collected, nonpublic databases are often also employed. To comparatively evaluate the performance
of face detection algorithms, common testing data sets are necessary. These data sets should be representative of real-world
data containing faces in various orientations against a complex background.
We have collected a database of 9868 images manually cropped, with different lighting conditions and facial expressions. Facial images are centered, unnormalized,
with eyes at fixed positions. The files are in BMP format. The size of each image is 24x24 pixels, with 256 grey levels per pixel.
Extracting face patterns is usually a tedious and time-consuming work that has to be done manually. An interesting alternative is to generate
artificial samples for training the classifier. From this comprehensive database it is possible to create a large variety of synthetic face patterns
by morphing between different facial images and by modifying the orientation and the illumination.
Index Terms: Matlab, source, code, face, detection, database, image, facial, images, databases, dataset.
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Figure 1. Face database |
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A comprehensive database for face detection algorithms. |
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Release |
Date |
Major features |
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1.0 |
2012.12.25 |
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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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Face Detection Database. Click here for
your donation. In order to obtain the full database you
have to pay a little sum of money: 50 EUROS (less
than 70 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 Face Detection Database. 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 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.
