Computational Multifocal Near-Eye Display with Hybrid Refractive-Diffractive Optics

Ugur Akpinar; Erdem Sahin; Atanas Gotchev

doi:10.1109/ICMEW46912.2020.9106014

Computational Multifocal Near-Eye Display with Hybrid Refractive-Diffractive Optics

Ugur Akpinar, Erdem Sahin, Atanas Gotchev

Computing Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

We present a multifocal computational near-eye display that employs a static diffractive optical element (DOE) in tandem with a refractive lens. The DOE is co-optimized with the con-volutional neural network-based preprocessing to achieve desired multifocal display point spread function in an optimal manner. In the simulations, we demonstrate a multifocal display that can deliver sharp images for three distinct depths sampling the dioptric depth range uniformly from 3 diopters to infinity.

Original language	English
Title of host publication	2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Publisher	IEEE
ISBN (Electronic)	978-1-7281-1485-9
DOIs	https://doi.org/10.1109/ICMEW46912.2020.9106014
Publication status	Published - 2020
Publication type	A4 Article in conference proceedings
Event	IEEE International Conference on Multimedia - Duration: 6 Jul 2020 → 10 Jul 2020

Conference

Conference	IEEE International Conference on Multimedia
Period	6/07/20 → 10/07/20

Publication forum classification

Publication forum level 1

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10.1109/ICMEW46912.2020.9106014

ICME2020
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Accepted author manuscript, 3.55 MB

http://urn.fi/URN:NBN:fi:tuni-202101261712

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title = "Computational Multifocal Near-Eye Display with Hybrid Refractive-Diffractive Optics",

abstract = "We present a multifocal computational near-eye display that employs a static diffractive optical element (DOE) in tandem with a refractive lens. The DOE is co-optimized with the con-volutional neural network-based preprocessing to achieve desired multifocal display point spread function in an optimal manner. In the simulations, we demonstrate a multifocal display that can deliver sharp images for three distinct depths sampling the dioptric depth range uniformly from 3 diopters to infinity.",

author = "Ugur Akpinar and Erdem Sahin and Atanas Gotchev",

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language = "English",

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AU - Akpinar, Ugur

AU - Sahin, Erdem

AU - Gotchev, Atanas

PY - 2020

Y1 - 2020

N2 - We present a multifocal computational near-eye display that employs a static diffractive optical element (DOE) in tandem with a refractive lens. The DOE is co-optimized with the con-volutional neural network-based preprocessing to achieve desired multifocal display point spread function in an optimal manner. In the simulations, we demonstrate a multifocal display that can deliver sharp images for three distinct depths sampling the dioptric depth range uniformly from 3 diopters to infinity.

AB - We present a multifocal computational near-eye display that employs a static diffractive optical element (DOE) in tandem with a refractive lens. The DOE is co-optimized with the con-volutional neural network-based preprocessing to achieve desired multifocal display point spread function in an optimal manner. In the simulations, we demonstrate a multifocal display that can deliver sharp images for three distinct depths sampling the dioptric depth range uniformly from 3 diopters to infinity.

U2 - 10.1109/ICMEW46912.2020.9106014

DO - 10.1109/ICMEW46912.2020.9106014

M3 - Conference contribution

BT - 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

PB - IEEE

T2 - IEEE International Conference on Multimedia

Y2 - 6 July 2020 through 10 July 2020

ER -

Computational Multifocal Near-Eye Display with Hybrid Refractive-Diffractive Optics

Abstract

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