Outside-in monocular IR camera based HMD pose estimation via geometric optimization

Pavel A. Savkin, Shunsuke Saito, Jarich Vansteenberge, Tsukasa Fukusato, Lochlainn Wilson, Shigeo Morishima

研究成果: Conference contribution

抄録

Accurately tracking a Head Mounted Display (HMD) with a 6 degree of freedom is essential to achieve a comfortable and a nausea free experience in Virtual Reality. Existing commercial HMD systems using synchronized Infrared (IR) camera and blinking IR-LEDs can achieve highly accurate tracking. However, most of the o-the-shelf cameras do not support frame synchronization. In this paper, we propose a novel method for real time HMD pose estimation without using any camera synchronization or LED blinking. We extended over the state of the art pose estimation algorithm by introducing geometrically constrained optimization. In addition, we propose a novel system to increase robustness to the blurred IR-LEDs paerns appearing at high-velocity movements. The quantitative evaluations showed signicant improvements in pose stability and accuracy over wide rotational movements as well as a decrease in runtime.

本文言語English
ホスト出版物のタイトルProceedings - VRST 2017
ホスト出版物のサブタイトル23rd ACM Conference on Virtual Reality Software and Technology
編集者Stephen N. Spencer
出版社Association for Computing Machinery
ISBN(電子版)9781450355483
DOI
出版ステータスPublished - 2017 11 8
イベント23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 - Gothenburg, Sweden
継続期間: 2017 11 82017 11 10

出版物シリーズ

名前Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
Part F131944

Other

Other23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017
CountrySweden
CityGothenburg
Period17/11/817/11/10

ASJC Scopus subject areas

  • Software

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