[P-ITu] ISOM '22 Poster Session

[P-ITu-01] Image reconstruction of object out of the line of sight using deep learning

Ryoga Ichida¹, *Nobukazu Yoshikawa¹ (1. Saitama Univ. (Japan))

[Presentation Style] Onsite

We propose a reconstruction method of objects out of the line of sight using deep learning. We demonstrate that the object can be reconstructed by DNN using small irradiance fluctuations in the captured images.