Merge branch '122-documentation-does-not-include-a-link-to-the-recordings-of-the-ijcb-tutorial' into 'master'
Resolve "Documentation does not include a link to the recordings of the IJCB tutorial"
Closes #122
See merge request !159
@@ -22,6 +22,9 @@ The ``bob.bio`` packages contain several implementations of each of the above st
.. note::
The ``bob.bio`` packages are derived from the former `FaceRecLib <http://pypi.python.org/pypi/facereclib>`__, which is herewith outdated.
Structure of the Biometric Recognition Framework
================================================
The :py:mod:`bob.bio.base` package includes the basic definition of a biometric recognition experiment, as well as a generic script, which can execute the full biometric experiment in a single command line.
Changing the employed tools, such as the database, protocol, preprocessor, feature extractor or matching algorithm is as simple as changing a parameter in a configuration file or on the command line.
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@@ -35,6 +38,27 @@ Here is a growing list of derived packages:
* :ref:`bob.bio.video <bob.bio.video>` An extension of face recognition algorithms to run on video data, and the according video databases
* :ref:`bob.bio.gmm <bob.bio.gmm>` Algorithms based on Gaussian Mixture Modeling (GMM) such as Inter-Session Variability modeling (ISV) or Total Variability modeling (TV, aka. I-Vector) [Pri07]_ and [ESM+13]_.
Tutorial on the Biometric Recognition Framework
===============================================
As an introduction into the Biometric Recognition Framework, a.k.a., bob.bio, we presented a tutorial in collaboration with the International Joint Conference on Biometrics (IJCB) in 2017.
The tutorial was called *Bob’s Biometric Recognition Framework - A Hands-on Tutorial with Face Recognition Examples* and introduced the bob.bio framework by showing how to use and how to extend the framework.
Though all presented examples were about face recognition, other biometric modalities can be handled similarly.
If you did not have the time to attend the tutorial itself, we recorded the session.
You can find the videos on YouTube, either combined in my `YouTube Channel <https://www.youtube.com/playlist?list=PL-M6OZEM9v0FXfgvarnrpTMhURafZbXwp>`__, or separately here:
