InAR:Inverse Augmented Reality
This addresses a practical challenge for AR users and developers, but it is incremental as it applies an existing technique to a new problem.
The paper tackles the problem of distinguishing real from virtual objects in a perfectly augmented reality scene, showing that using structure from motion (SFM) allows easy separation in the reconstructed 3D scene.
Augmented reality is the art to seamlessly fuse virtual objects into real ones. In this short note, we address the opposite problem, the inverse augmented reality, that is, given a perfectly augmented reality scene where human is unable to distinguish real objects from virtual ones, how the machine could help do the job. We show by structure from motion (SFM), a simple 3D reconstruction technique from images in computer vision, the real and virtual objects can be easily separated in the reconstructed 3D scene.