KeyLemon Blog

Features and Classifiers

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: Features "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) Classifiers "A classifier is a sort of a function that provides a tagged class as an ...