Many Augmented Reality applications require accurate tracking. Existing tracking techniques require prepared environments to ensure accurate results. This paper motivates the need...
Ronald Azuma, Jong Weon Lee, Bolan Jiang, Jun Park...
We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time sys...
This work introduces techniques to facilitate large-scale Augmented Reality (AR) experiences in unprepared outdoor environments. We develop a shape-based object detection framewor...
Thommen Korah, Jason Wither, Yun-Ta Tsai, Ronald A...
Driver distraction and inattention are prominent causes of automotive collisions. To enable driver-assistance systems to address these problems, we require new sensing approaches t...
We present a demonstrated and commercially viable self-tracker, using robust software that fuses data from inertial and vision sensors. Compared to infrastructurebased trackers, s...