OST Rift: Temporally consistent augmented reality with a consumer optical see-through head-mounted display

Yuta Itoh, Jason Orlosky, Manuel Huber, Kiyoshi Kiyokawa, Gudrun Klinker

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

10 Scopus citations

Abstract

We present an off-the-shelf, low-latency Optical See-through Head-Mounted Displays (OST-HMD) for Augmented Reality (AR). Temporally consistent visualization is crucial for realizing immersive AR experiences. This is challenging since it requires both accurate head-tracking and low-latency rendering of AR content. Building a system which meets both constraints usually requires experts on computer vision/graphics and expensive display hardware. This work demonstrates that such high spatio-temporal fidelity is achievable with commodity hardware available today. We build a custom OST-HMD system that consists of a virtual reality HMD, i.e., the Oculus Rift DK2, and half-mirror optics, and adapt the rendering pipeline in order to integrate the OST-HMD calibration framework. An evaluation with a user-perspective camera shows that the system achieves mean temporal error of <1 ms (95% reduction of the latency from naive, no-predictive rendering), and median spatial error <0.3° in the viewing angle with maximum error at most 1.0°.

Original languageEnglish
Title of host publication2016 IEEE Virtual Reality Conference, VR 2016 - Proceedings
EditorsVictoria Interrante, Tobias Hollerer, Evan Suma, Anatole Lecuyer
PublisherIEEE Computer Society
Pages189-190
Number of pages2
ISBN (Electronic)9781509008360
DOIs
StatePublished - 5 Jul 2016
Event18th IEEE Virtual Reality Conference, VR 2016 - Greenville, United States
Duration: 19 Mar 201623 Mar 2016

Publication series

NameProceedings - IEEE Virtual Reality
Volume2016-July

Conference

Conference18th IEEE Virtual Reality Conference, VR 2016
Country/TerritoryUnited States
CityGreenville
Period19/03/1623/03/16

Keywords

  • low-cost HMD
  • optical see-through
  • post-rendering

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