Exploiting nonlinear incoherent image formation through linear volume metaoptics for inference [Invited]

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Authors: Nan Zhang, Arvin Keshvari, Ata Shakeri, Zin Lin
Cited by: 1
References: 24

Abstract

We showed that a 2D depth map representing an incoherent 3D opaque scene is directly encoded in the response function of an imaging optics. As a result, the optics creates an image that depends nonlinearly on the depth map. Furthermore, strong spatio-spectral dispersions in volume metaoptics can be engineered to create an arbitrarily complex image in response to a depth map. We hypothesize that this complexity will allow the linear volume metaoptics to directly sense and process 3D opaque scenes for deep vision tasks.

Fields of Study & Subjects

Neural Networks and Reservoir Computing Advanced Optical Imaging Technologies Random lasers and scattering media

Publication details

Journal / source
Journal of the Optical Society of America B
Publisher
Optica Publishing Group
Volume
43
Issue
3
Pages
A171–A171
Publication date
8 January 2026
Language
EN