CloudRidAR
Zhanpeng Huang, Weikai Li, Pan Hui, Christoph Peylo · 2014
Mobile augmented reality (MAR) has exploded in popularity on mobile devices in various fields. However, building a MAR application from scratch on mobile devices is complicated and time-consuming. In this paper, we propose CloudRidAR, a framework for MAR developers to facilitate the development, deployment, and maintenance of MAR applications with little effort. Despite of advance in mobile devices as a computing platform, their performance for MAR applications is still very limited due to the poor computing capability of mobile devices. In order to alleviate the problem, our CloudRidAR is designed with cloud computing at the core. Computational intensive tasks are offloaded on cloud to accelerate computation in order to guarantee run-time performance. We also present two MAR applications built on CloudRidAR to evaluate our design.