Markerless augmented reality based on local binary pattern

Augmented reality is becoming the future of e-commerce, throw their mobile devices, customers have access to all kind of information, going from weather, news papers, shops and so on. Today´s mobiles devices are so powerful to the point that they can be used as a platform of virtual try-on systems. Over this paper we present a virtual eye glasses try-on system based on augmented reality and LBP for face and eyes detection. The well-known machine learning Ada Boost algorithm is used for real time eyes tracking, the resulting face and eyes positions are continuously utilized to overlay the glasses model over the face. The system helps evaluating glasses before trying them in the store and makes possible the design of its own style.