Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | DocType |
|---|---|---|
2015 | CoRR | Journal |
Volume | Citations | PageRank |
abs/1508.02606 | 0 | 0.34 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Hu | 1 | 20 | 7.76 |
| Hainan Cui | 2 | 0 | 0.34 |