ABSTRACT
Augmented Reality (AR), as a new form of connections between the virtual and physical worlds, is emerging as an innovative way of expressing and presenting information to users. Geographic-scale AR applications focus on location-based services by adding location-related information on top of the camera view. Via estimating and displaying relevant information of the user's immediate surroundings in the physical world, AR applications highly contextualized, spatially relevant information that enhances users' experience of mobile lives. The chapter provides solutions to enable AR applications in a smartphone for various scales and mobilities. It proposes activity identification, pattern decomposition, interacting multiple models, and vision fusion approaches to reduce the displacement and attitude estimation error, drift, and distortion. The chapter discusses the AR view projecting process by utilizing the intrinsic and extrinsic matrix of the smartphone camera. It presents a hybrid approach for AR applications with better accuracy and efficiency for various mobilities.
