English

InAR:Inverse Augmented Reality

Computer Vision and Pattern Recognition 2015-08-12 v1

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.

Keywords

Cite

@article{arxiv.1508.02606,
  title  = {InAR:Inverse Augmented Reality},
  author = {Hao Hu and Hainan Cui},
  journal= {arXiv preprint arXiv:1508.02606},
  year   = {2015}
}

Comments

2 pages

R2 v1 2026-06-22T10:31:09.755Z