Abstract
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.
Highlights
Non-line-of-sight (NLOS) imaging recovers objects using diffusely reflected indirect light using transient illumination devices in combination with a computational inverse method
Time of flight Non-line-of-sight (NLOS) imaging uses fast pulsed light sources and detectors combined with computational methods to image scenes from indirect light reflections making it possible to reconstruct images or geometry of the parts of a scene that are occluded from direct view
An algorithm suitable for fast NLOS imaging must fulfill three separate requirements: The ability to use data that can be captured in real time, a computational complexity allowing for execution in a fraction of a second on a conventional CPU or GPU, and a memory complexity suitable for use in the limited memory of such a system
Summary
Non-line-of-sight (NLOS) imaging recovers objects using diffusely reflected indirect light using transient illumination devices in combination with a computational inverse method. 1234567890():,; Time of flight Non-line-of-sight (NLOS) imaging uses fast pulsed light sources and detectors combined with computational methods to image scenes from indirect light reflections making it possible to reconstruct images or geometry of the parts of a scene that are occluded from direct view. Due to this unique capability, NLOS imaging is promising for applications in diverse fields such as law enforcement, infrastructure assessment, flood prevention, border control, disaster response, planetary research, geology, volcanology, manufacturing, industrial monitoring, vehicle navigation, collision avoidance, and military intelligence. Both algorithms rely on 3D convolutions allowing for fast reconstruction and demonstrate the ability to recover complex scenes from confocal measurements[9] They require interpolation over irregular 3D grids in order to approximate the data points needed for the convolutions.
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