| * What is Non-Line-of-Sight Imaging? Non-Line-of-Sight Imaging (NLOS) is a new imaging method that makes it possible to see around corners. Previously, we have shown that we can turn walls into cameras in our Nature work using knowledge from classical optics. |
| * What is new about this paper? In this work, we follow our previous work to design a fast computational camera for real-time hidden reconstructions. This enables reconstructing room-sized scenes from non-confocal, parallel multi-pixel measurements in seconds with less memory usage. We also anticipate our method stimulates real-time video-rate reconstruction of hidden scenes using emerging Single-Photon Avalanche Diode array (SPAD arrays) detectors. Turning walls into a video camera is around the corner. We anticipate huge applications for this technology to make a difference in security, surveillance, biomedical and LiDAR imaging as well as many others. |
Non-line-of-sight (NLOS) imaging recovers objects using diffusely reflected indirect light using transient illumination devices in combination with a computational inverse method. While capture systems capable of collecting signal from the entire NLOS relay surface can be much more light efficient than single pixel point scanning detection, current reconstruction algorithms for such systems have computational and memory requirements that prevent real-time NLOS imaging. Existing real-time demonstrations, also, use retroreflecting targets and reconstruct at resolutions far below the hardware limits. Our method enables reconstructing non-confocal, parallel multi-pixel, room-sized measurements in seconds with less memory usage. We anticipate that our method will enable real time NLOS imaging when used with emerging Single-photon avalanche diode array detectors with resolutions only limited by the temporal resolution of the sensor.