Fast Computational Periscopy in Challenging Ambient Light Conditions through Optimized Preconditioning

2021 IEEE International Conference on Computational Photography (ICCP)(2021)

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摘要
Non-line-of-sight (NLOS) imaging is a rapidly advancing technology that provides asymmetric vision: seeing without being seen. Though limited in accuracy, resolution, and depth recovery compared to active methods, the capabilities of passive methods are especially surprising because they typically use only a single, inexpensive digital camera. One of the largest challenges in passive NLOS imaging ...
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关键词
Linear inverse problems,Passive Non-Line-of-Sight Imaging,Occlusion,Optimized preconditioning
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