New opening for an internship position
Age estimation from face images using Multivariate Boosting
Idiap recently proposed and developed  a novel unified boosting framework.
We applied this framework to the several face processing tasks, face detection, facial feature localisation, and pose classification, and use the same boosting algorithm and the same pool of features (Local Binary Patterns). This is in contrast with the standard approaches that make use of a variety of features and models, for example AdaBoost, cascades of boosted classifiers and Active Appearance Models.More info about the position can be found on our " "