Developing AR Systems in the Prescence of Spatial Uncertainty
Cindy M. Robertson (Gergia Institute of Technology, TSRB, USA), Enylton Machado Machado (Gergia Institute of Technology, TSRB, USA), Blair MacIntyre (Gerogia Institute of Technology, TSRB, USA) and Simon Julier (Naval Research Laboratory, USA)
Copyright: © 2007
This chapter introduces spatially-adaptive augmented reality as an approach to dealing with the registration errors introduced by spatial uncertainty. It argues that if programmers are given simple estimates of registration error, they can create systems that adapt to dynamically changing amounts of spatial uncertainty, and that it is this ability to adapt to spatial uncertainty that will be the key to creating augmented reality systems that work in real-world environments.