arXiv · 2508.19436
Exploiting nonlinear incoherent image formation through linear volume metaoptics for inference
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 a complex image in response to a depth map. We hypothesize that this complexity will allow the linear volume metaoptics to nonlinearly sense and process 3D opaque scenes.
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Nan Zhang, Arvin Keshvari, Ata Shakeri, Zin Lin. 2025-08-26. Exploiting nonlinear incoherent image formation through linear volume metaoptics for inference. https://arxiv.org/abs/2508.19436
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