CLEO-PR2022/ISOM'22/ODF'22

Presentation information

Poster Session

ISOM '22 » Poster Session

[P-ITu] ISOM '22 Poster Session

Tue. Aug 2, 2022 6:00 PM - 8:00 PM Main Hall (1/3) (1F)

[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.