Posted on April 23, 2010 by sebastien | No Comments
In this new post, I will introduce 2 concepts that are key elements in all face processing algorithms: features and classifiers. Let's start with some definitions:
"In pattern recognition, features are the individual measurable heuristic properties of the phenomena being observed. Choosing discriminating and independent features is key to any pattern recognition algorithm being successful in classification. Features are usually numeric, but structural features such as strings and graphs are used in syntactic pattern recognition." (Wikipedia)
"A classifier is a sort of a function that provides a tagged class as an ...
Posted on February 15, 2010 by sebastien | No Comments
In this first post, I just want to clarify the terminology. This is really important otherwise we simply don't
know what we are talking about !
Many terms can be found on the web and are used incorrectly. Typically we found ...
Posted on February 10, 2010 by admin | No Comments
Face recognition has been an active research area for more than 30 years and different systems are now capable of correctly recognizing people's faces under specific environments (near frontal faces and controlled imaging conditions). This explains the presence of more and more face recognition applications for your personal computers.
KeyLemon asked Sébastien Marcel to animate a new entry on his blog and hopes that you will find information about face recognition.
Sébastien will try to post here on a regular basis some general information but also more detailed information about face ...