English

Photon counting compressive depth mapping

Optics 2015-06-17 v1 Computer Vision and Pattern Recognition

Abstract

We demonstrate a compressed sensing, photon counting lidar system based on the single-pixel camera. Our technique recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low light levels around 0.5 picowatts. Only two-dimensional reconstructions are required to image a three-dimensional scene. We demonstrate intensity imaging and depth mapping at 256 x 256 pixel transverse resolution with acquisition times as short as 3 seconds. We also show novelty filtering, reconstructing only the difference between two instances of a scene. Finally, we acquire 32 x 32 pixel real-time video for three-dimensional object tracking at 14 frames-per-second.

Keywords

Cite

@article{arxiv.1309.4385,
  title  = {Photon counting compressive depth mapping},
  author = {Gregory A. Howland and Daniel J. Lum and Matthew R. Ware and John C. Howell},
  journal= {arXiv preprint arXiv:1309.4385},
  year   = {2015}
}

Comments

16 pages, 8 figures

R2 v1 2026-06-22T01:28:55.064Z