4.8 Article

Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging

期刊

NATURE COMMUNICATIONS
卷 12, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41467-021-22461-0

关键词

-

向作者/读者索取更多资源

LIFT is a novel transient imaging strategy that provides a temporal sequence of over 1000 and efficient light field acquisition for four-dimensional imaging. It enables three-dimensional imaging of light in flight phenomena with a resolution of less than 10 picoseconds, and non-line-of-sight imaging at a video rate of 30 Hz.
Cameras with extreme speeds are enabling technologies in both fundamental and applied sciences. However, existing ultrafast cameras are incapable of coping with extended three-dimensional scenes and fall short for non-line-of-sight imaging, which requires a long sequence of time-resolved two-dimensional data. Current non-line-of-sight imagers, therefore, need to perform extensive scanning in the spatial and/or temporal dimension, restricting their use in imaging only static or slowly moving objects. To address these long-standing challenges, we present here ultrafast light field tomography (LIFT), a transient imaging strategy that offers a temporal sequence of over 1000 and enables highly efficient light field acquisition, allowing snapshot acquisition of the complete four-dimensional space and time. With LIFT, we demonstrated three-dimensional imaging of light in flight phenomena with a <10 picoseconds resolution and non-line-of-sight imaging at a 30 Hz video-rate. Furthermore, we showed how LIFT can benefit from deep learning for an improved and accelerated image formation. LIFT may facilitate broad adoption of time-resolved methods in various disciplines. Speed and 3D capability are often incompatible for non-line-of-sight imaging. Here, the authors introduce ultrafast light field tomography (LIFT) that uses an efficient light field acquisition technique to obtain 3D and time.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据