Optics.org
daily coverage of the optics & photonics industry and the markets that it serves
Featured Showcases
Photonics West Showcase
Optics+Photonics Showcase
News
Menu
Chiba approach uses neural networks to transform 2D images into 3D holograms.
Chiba researchers propose a computationally inexpensive deep learning approach that utilizes three neural networks to transform two-dimensional images captured using regular cameras to three-dimensional holograms. Credit: Kunal Mukherjee; image license: CC BY-SA 2.0.
© 2024 SPIE Europe
Top of Page