RIDE: Region-induced data enhancement method for dynamic calibration of optical see-through head-mounted displays

Zhenliang Zhang, Dongdong Weng, Yue Liu, Yongtian Wang, Xinjun Zhao

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

9 Citations (Scopus)

Abstract

The most commonly used single point active alignment method (SPAAM) is based on a static pinhole camera model, in which it is assumed that both the eye and the HMD are fixed. This leads to a limitation for calibration precision. In this work, we propose a dynamic pinhole camera model according to the fact that the human eye would experience an obvious displacement over the whole calibration process. Based on such a camera model, we propose a new calibration data acquisition method called the region-induced data enhancement (RIDE) to revise the calibration data. The experimental results prove that the proposed dynamic model performs better than the traditional static model in actual calibration.

Original languageEnglish
Title of host publication2017 IEEE Virtual Reality, VR 2017 - Proceedings
PublisherIEEE Computer Society
Pages245-246
Number of pages2
ISBN (Electronic)9781509066476
DOIs
Publication statusPublished - 4 Apr 2017
Event19th IEEE Virtual Reality, VR 2017 - Los Angeles, United States
Duration: 18 Mar 201722 Mar 2017

Publication series

NameProceedings - IEEE Virtual Reality

Conference

Conference19th IEEE Virtual Reality, VR 2017
Country/TerritoryUnited States
CityLos Angeles
Period18/03/1722/03/17

Keywords

  • Augmented
  • H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems - Artificial
  • Virtual realities

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