{"ID":2878293,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.19436","arxiv_id":"2508.19436","title":"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.","short_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...","url_abs":"https://arxiv.org/abs/2508.19436","url_pdf":"https://arxiv.org/pdf/2508.19436v1","authors":"[\"Nan Zhang\",\"Arvin Keshvari\",\"Ata Shakeri\",\"Zin Lin\"]","published":"2025-08-26T21:11:31Z","proceeding":"physics.optics","tasks":"[\"physics.optics\",\"math.OC\",\"physics.comp-ph\"]","methods":"[]","has_code":false}