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 light 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 retroreflective targets and reconstruct at resolutions far below the hardware limits. Our method presented here enables the reconstruction of room-sized scenes from non-confocal, parallel multi-pixel 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 resolution only limited by the temporal resolution of the sensor.

非视距（NLOS）成像使用瞬态照明设备结合计算逆方法使用漫反射的间接光恢复对象。尽管与单个像素点扫描检测相比，能够从整个NLOS中继表面收集光的捕获系统的光效率要高得多，但此类系统的当前重建算法具有阻止实时NLOS成像的计算和存储要求。现有的实时演示还使用回射目标并以远低于硬件极限的分辨率进行重建。我们在此提出的方法可以在几秒钟内以较少的内存使用量，从非共聚焦，并行多像素测量中重建房间大小的场景。