Conference PaperThermal Non-Line-of-Sight ImagingMaeda, Tomohiro; Wang, Yiqin; Raskar, Ramesh; Kadambi, AchutaWe propose a novel non-line-of-sight (NLOS) imaging framework with long-wave infrared (IR). At long-wave IR wavelengths, certain physical parameters are more favorable for high-fidelity reconstruction. In contrast to prior work in visible light NLOS, at long-wave IR wavelengths, the hidden heat source acts as a light source. This simplifies the problem to a single bounce problem. In addition, surface reflectance has a much stronger specular reflection in the long-wave IR spectrum than in the visible light spectrum. We reformulate a light transport model that leverages these favorable physical properties of long-wave IR. Specifically, we demonstrate 2D shape recovery and 3D localization of a hidden object. Furthermore, we demonstrate near real-time and robust NLOS pose estimation of a human figure, the first such demonstration, to our knowledge.2019-05-0110136854IEEE International Conference on Computational Photography1 to 11https://doi.org/10.1109/ICCPHOT.2019.87473431729931; 1849941National Science Foundation