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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 20 — Oct. 7, 2013
  • pp: 23822–23837

Photon counting compressive depth mapping

Gregory A. Howland, Daniel J. Lum, Matthew R. Ware, and John C. Howell  »View Author Affiliations


Optics Express, Vol. 21, Issue 20, pp. 23822-23837 (2013)
http://dx.doi.org/10.1364/OE.21.023822


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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 × 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 × 32 pixel real-time video for three-dimensional object tracking at 14 frames-per-second.

© 2013 Optical Society of America

OCIS Codes
(110.6880) Imaging systems : Three-dimensional image acquisition
(280.3640) Remote sensing and sensors : Lidar
(110.1758) Imaging systems : Computational imaging

ToC Category:
Imaging Systems

History
Original Manuscript: July 15, 2013
Revised Manuscript: September 12, 2013
Manuscript Accepted: September 14, 2013
Published: September 30, 2013

Citation
Gregory A. Howland, Daniel J. Lum, Matthew R. Ware, and John C. Howell, "Photon counting compressive depth mapping," Opt. Express 21, 23822-23837 (2013)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-21-20-23822


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