The Proposal of Image Quality Improvement Method for Directional Volumetric Displays Using Deep Learning

Yuta Fukumoto, Naoto  Hoshikawa, Hirotaka  Nakayama, Tomoyoshi Ito, Atsushi Shiraki

doi:https://doi.org/10.36463/idw.2022.0629

[3Dp2-1L] The Proposal of Image Quality Improvement Method for Directional Volumetric Displays Using Deep Learning

*Yuta Fukumoto¹, Naoto Hoshikawa², Hirotaka Nakayama³, Tomoyoshi Ito¹, Atsushi Shiraki¹ (1.Chiba University (Japan), 2.National Institute of Technology,Oyama College (Japan), 3.National Astronomical Observatory of Japan (Japan))

volumetric display, directional image, deep learning, media art

https://doi.org/10.36463/idw.2022.0629

The currently used directional volumetric display, which
uses threads, and a projector has the issue .
In this study, aiming at solving the
above-mentioned problem, a projection image was
created using a new approach that uses deep learning to
adjust light rays.

Proceedings of the International Display Workshops Volume 29 (IDW '22)

[3Dp2-1L] The Proposal of Image Quality Improvement Method for Directional Volumetric Displays Using Deep Learning