Photon counting compressive depth mapping

被引:160
作者
Howland, Gregory A. [1 ]
Lum, Daniel J. [1 ]
Ware, Matthew R. [2 ]
Howell, John C. [1 ]
机构
[1] Univ Rochester, Dept Phys & Astron, Rochester, NY 14618 USA
[2] Illinois State Univ, Dept Phys, Normal, IL 61790 USA
来源
OPTICS EXPRESS | 2013年 / 21卷 / 20期
基金
美国国家科学基金会;
关键词
SPARSITY; RANGE;
D O I
10.1364/OE.21.023822
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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. (C) 2013 Optical Society of America
引用
收藏
页码:23822 / 23837
页数:16
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