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Photon counting compressive depth mapping

delete2013-09-30
delete170
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OA
AI
G
Gregory A. Howland *
D
Daniel J. Lum
M
Matthew R. Ware
J
John C. Howell
DOI:10.1364/OE.21.023822delete
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摘要

摘要

En 中文
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
Keyword:
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期刊

Optics Express 封面图
Optics Express
IF:
3.3
论文数:
6.1W
被引数:
14.3W

机构

U
University of Rochester
学者数:
2.6W
论文数: 2.1W
被引数: 2.2W
I
illinois state university
学者数:
1.6K
论文数: 1.4K
被引数: 0
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