Adaptive Augmented Reality Using Context Markup and Style Maps

Augmented reality (AR) enables users to visualize synthetic information overlaid on top of real imagery. Such visualization may be achieved by tools that distort, filter or enhance the explored information. However, little to no work has focused on the separation of style definitions and their mapping to scene objects. We target this separation based on a context rich scenegraph. Our research allows the definition of visualization styles independent on the data to be visualized.