Exponentially-wide étendue displays using a tilting cascade

Sagi Monin, Aswin C. Sankaranarayanan, Anat Levin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A fundamental limitation of spatial light modulation (SLM) devices is that their etendue, defined as the product of the display's size and angular range, is bounded by the number of pixel units. Current SLMs are woefully inadequate in meeting the spatial and angular ranges of many real applications. In particular using these SLMs to generate realistic computer-controlled holographic displays would require scaling the number of display units by a few orders of magnitude. In this work, we suggest that rather than excessively increasing the pixel count, etendue can be expanded by augmenting the display units with tilting capabilities. Furthermore, we show that tiltable displays can be realized using a cascade of binary tilt layers, each capable of tilting the light towards one of two orientations. With proper design, the etendue-expansion factor scales exponentially with the number of display layers; hence, a very small number of such layers can effectively realize wide expansion factors. We implement a proof of concept display and demonstrate its applicability for displaying multi-view or holographic content with increased size and angular field-of-view.

Original languageEnglish
Title of host publicationIEEE International Conference on Computational Photography, ICCP 2022
ISBN (Electronic)9781665458511
DOIs
StatePublished - 2022
Event14th IEEE International Conference on Computational Photography, ICCP 2022 - Pasadena, United States
Duration: 1 Aug 20225 Aug 2022

Publication series

NameIEEE International Conference on Computational Photography, ICCP 2022

Conference

Conference14th IEEE International Conference on Computational Photography, ICCP 2022
Country/TerritoryUnited States
CityPasadena
Period1/08/225/08/22

Keywords

  • Etendue +
  • Holographic displays
  • Spatial light modulation

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Instrumentation
  • Computer Science Applications
  • Media Technology

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