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Massachusetts Institute of Technology

Holographic augmented reality : towards near-to-eye electroholography via guided wave acousto-optics

Abstract

dc:description.abstract

Near-to-eye displays act to directly project imagery into a viewer's eye and can range in instantiation from extremely simple (such as an optical viewfinder) to more complex immersive displays for applications in virtual and augmented reality. Many current schemes for near-to-eye display employ stereoscopic techniques; however, such instantiations do not consistently present correct accommodation and vergence cues to the viewer, limiting their potential for seamless, comfortable augmented reality applications. Recent techniques based around light-field display methods show promise in the delivery of consistent depth cues although their applicability in presenting scenery with jointly high spatial and angular resolution is limited.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Jolly, Sundeep(Sundeep Kumar)
Advisor dc:contributor.advisor
  • V. Michael Bove, Jr.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/124085
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/124085

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Jolly, Sundeep(Sundeep Kumar). Holographic augmented reality : towards near-to-eye electroholography via guided wave acousto-optics. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124085