Distributed model for realtime augmented reality

This paper presents a Networked system of Multiple Smartphones trying to augment information residing over Server, based on current Camera Environment of the Smartphone. A Feasible solution for simulating Augmented Reality over Distributed System with Accuracy high performance has to be presented. The environment has to be accurately determined by using efficient feature matching techniques of the current camera scene and database. Smartphones have high bandwidth camera and have limited computational Compatibilities. To achieve this, real-time camera frames of smartphones are processed to extract their own set of compact and efficient feature descriptors along with location data, which are sent to the server over Wi-Fi. Computationally Heavy Feature Matching algorithms are run on the server to match the data sent from Smartphone with the Database of different Environments.