User’s Guide

This package contains the access API and descriptions for the AR face database. It only contains the Bob accessor methods to use the DB directly from python, with our certified protocols. The actual raw data for the database should be downloaded from the original URL (though we were not able to contact the corresponding Professor).

Our version of the AR face database contains 3312 images from 136 persons, 76 men and 60 women. We split the database into several protocols that we have designed ourselves. The identities are split up into three groups:

• the ‘world’ group for training your algorithm
• the ‘dev’ group to optimize your algorithm parameters on
• the ‘eval’ group that should only be used to report results

Additionally, there are different protocols:

• 'expression': only the probe files with different facial expressions are selected
• 'illumination': only the probe files with different illuminations are selected
• 'occlusion': only the probe files with normal illumination and different accessories (scarf, sunglasses) are selected
• 'occlusion_and_illumination': only the probe files with strong illumination and different accessories (scarf, sunglasses) are selected
• 'all': all files are used as probe

In any case, the images with neutral facial expression, neutral illumination and without accessories are used for enrollment.

The Database Interface

The bob.db.arface.Database complies with the standard biometric verification database as described in Common Functionality in all Verification Databases, implementing the interface bob.db.verification.utils.SQLiteDatabase.

Todo

Explain the particularities of the bob.db.arface.Database.