Exploiting Occlusion in Non-Line-of-Sight Active Imaging
Exploiting Occlusion in Non-Line-of-Sight Active Imaging
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DOI：
10.1109/tci.2018.2829599
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发表时间：
2017-11
影响因子：
5.4
通讯作者：
Christos Thrampoulidis;Gal Shulkind;Feihu Xu;W. Freeman;J. Shapiro;A. Torralba;F. Wong;G. Wornell
中科院分区：
文献类型：
--
作者：
Christos Thrampoulidis;Gal Shulkind;Feihu Xu;W. Freeman;J. Shapiro;A. Torralba;F. Wong;G. Wornell
主动非视距成像系统越来越受到各种应用的关注。 The most commonly proposed approaches to date rely on exploiting time-resolved measurements, i.e., measuring the time it takes for short-duration light pulses to transit the scene.这通常需要昂贵的、专业的、超快的激光器和必须仔细校准的探测器。 We develop an alternative approach that exploits the valuable role that natural occluders in a scene play in enabling accurate and practical image formation in such settings without such hardware complexity. In particular, we demonstrate that the presence of occluders in the hidden scene can obviate the need for collecting time-resolved measurements, and develop an accompanying analysis for such systems and their generalizations. Ultimately, the results suggest the potential to develop increasingly sophisticated future systems that are able to identify and exploit diverse structural features of the environment to reconstruct scenes hidden from view.
Active non-line-of-sight imaging systems are of growing interest for diverse applications. The most commonly proposed approaches to date rely on exploiting time-resolved measurements, i.e., measuring the time it takes for short-duration light pulses to transit the scene. This typically requires expensive, specialized, ultrafast lasers, and detectors that must be carefully calibrated. We develop an alternative approach that exploits the valuable role that natural occluders in a scene play in enabling accurate and practical image formation in such settings without such hardware complexity. In particular, we demonstrate that the presence of occluders in the hidden scene can obviate the need for collecting time-resolved measurements, and develop an accompanying analysis for such systems and their generalizations. Ultimately, the results suggest the potential to develop increasingly sophisticated future systems that are able to identify and exploit diverse structural features of the environment to reconstruct scenes hidden from view.