摘要翻译：
主动式非视距成像系统的应用越来越广泛。迄今为止，最常用的方法依赖于利用时间分辨测量，即测量短光脉冲通过场景所需的时间。这通常需要昂贵的、专门的、超快激光器和探测器，必须仔细校准。我们开发了一种替代方法，该方法利用了场景中自然遮挡器的宝贵作用，在这样的场景中实现了准确和实用的图像形成，而没有这样的硬件复杂性。特别地，我们证明了隐藏场景中的遮挡器的存在可以避免收集时间分辨测量的需要，并对这类系统及其推广进行了伴随分析。最终，研究结果表明，未来系统的发展将越来越复杂，能够识别和利用环境的不同结构特征来重建隐藏在视野之外的场景。
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英文标题：
《Exploiting Occlusion in Non-Line-of-Sight Active Imaging》
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作者：
Christos Thrampoulidis, Gal Shulkind, Feihu Xu, William T. Freeman,
  Jeffrey H. Shapiro, Antonio Torralba, Franco N. C. Wong, Gregory W. Wornell
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
  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 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.
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PDF链接：
https://arxiv.org/pdf/1711.06297