Fast Non-Line-of-Sight Imaging With Hybrid Super-Resolution Network Over 18 m

Abstract

Non-line-of-sight (NLOS) imaging technique aims at visualizing hidden objects from light of multiple reflections. For most existing methods, densely raster-scanned transients with long exposure time are routinely used, while approaches employing fewer points are confronted with a trade-off between the computation time and the image quality, both of which hinder the practical implementation of fast NLOS imaging. In this paper, we propose a hybrid super-resolution pipeline for image reconstruction and quality enhancement with only 8×8 scanning points. Besides, we implement a non-coaxial transceiver configuration and illustrate the first auto-calibration method for out-of-lab NLOS configuration, which costs only 40 s and performs well at a distance of 18.69 m. Results on both experimental data and public dataset indicate that the proposed method exhibits strong generalization capabilities, yielding faithful reconstructions with the resolution of 256×256 under different noise models. Furthermore, we demonstrate the importance of matching the noise model with the experimental dataset. We believe our approach shows great promise to NLOS imaging acceleration with lower acquisition, calibration and computation time.