Method for evaluating 3D display systems based on perceived retinal image

Mohan Xu, Hong Hua

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Previous analysis of 3D display systems hardly provides assessment of the perceived retinal image quality and the ability to render depth and stimulate a proper accommodative response. Moreover, few works ever provide the analysis of 3D displays for the users with eye refractive errors. To solve those problems, in this paper, we present a general framework where a schematic eye model is implemented as an integral part of 3D display systems to characterize the perceived retinal image and visual responses. By utilizing this framework, we demonstrate the retinal image results for natural viewing and stereoscope for both normal vision and 1 diopter myopia condition.

Original languageEnglish (US)
Title of host publicationOptical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR)
EditorsBernard C. Kress, Christophe Peroz
PublisherSPIE
ISBN (Electronic)9781510633872
DOIs
StatePublished - 2020
EventOptical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) 2020 - San Francisco, United States
Duration: Feb 2 2020 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11310
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) 2020
CountryUnited States
CitySan Francisco
Period2/2/20 → …

Keywords

  • 3D display evaluation
  • Modeling
  • Perceived retinal image
  • Schematic eye model

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Method for evaluating 3D display systems based on perceived retinal image'. Together they form a unique fingerprint.

Cite this