Towards Eye-Perspective Rendering for Optical See-Through Head-Mounted Displays

Gerlinde Emsenhuber*, Michael Domhardt, Tobias Langlotz, Denis Kalkofen, Markus Tatzgern

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

The optical see-through (OST) head-mounted display (HMD) is a typical platform for Augmented Reality (AR) and allows users to experience virtual augmentations in a wearable form factor. Utilizing information of the real-world background, visualization algorithms adapt the layout and representation of content to improve legibility. Typically, this background information is captured via built-in HMD cameras. However, HMD camera views of the real-world scene are distinctively different to the user's view through the OST display. In this work, we propose eye-perspective rendering (EPR) as a solution to synthesize high fidelity renderings of the user's view for mobile OST HMD to enable adaptation algorithms to utilize visual information as seen from the perspective of the user to improve placement, rendering and, thus, legibility of content.

Originalspracheenglisch
TitelProceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
Seiten640-641
Seitenumfang2
ISBN (elektronisch)9781665484022
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops: VRW 2022 - Virtual, Online, Neuseeland
Dauer: 12 März 202216 März 2022

Konferenz

Konferenz2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops
KurztitelVRW 2022
Land/GebietNeuseeland
OrtVirtual, Online
Zeitraum12/03/2216/03/22

ASJC Scopus subject areas

  • Computergrafik und computergestütztes Design
  • Maschinelles Sehen und Mustererkennung
  • Human-computer interaction
  • Medientechnik
  • Modellierung und Simulation

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