Improved algorithm of non-line-of-sight imaging based on the Bayesian statistics

Phasor field diffraction based reconstruction for fast non-line-of-sight imaging systems

“…Full color NLOS imaging with single pixel photomultiplier tube combined with a mask 23,24 has also been demonstrated. Further work includes real-time transient imaging for amplitude modulated continuous wave lidar applications 25 , analysis of missing features based on time-resolved NLOS measurements 26 , convolutional approximations to incorporate priors into FBP 27 , occlusion-aided NLOS imaging using SPADs 28,29 , Bayesian statistics reconstruction to account for random errors 30 , temporal focusing for a hidden volume of interest by altering the time delay profile of the hardware illumination 31 , and a database for NLOS imaging problems with different acquisition schemes 32 . Reconstruction times for all these methods remain in the minutes to hours range even for small scenes of less than a meter in diameter.…”

Seeing around corners with edge-resolved transient imaging

“…5 and Supplementary Figs. 10,11,13,and 14) is available on GitHub at https://github.com/Computational-Periscopy/ERTI/.…”

“…More recently, the basic imaging configuration has settled to scanning a large 2D grid of points on a planar Lambertian wall, with emphasis on developing ever faster and more accurate reconstruction algorithms, including improved methods of filtering for back-projection 8,9 , fast Fourier transform-based methods such as the light-cone transform 10,11 and f-k migration 12 , and various other methods including Fermat paths 13 , Bayesian methods 14 , phasor fields 15,16 , and inverse rendering 17,18 . Regardless of the algorithm used, extremely low levels of informative light for macroscopic scenes typically force active NLOS experiments to use single-photon detectors, acquire transient information from many repeated illuminations, and limit the hidden scene to around 1 meter from the relay surface.…”