Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - VRST 2017 |
| Subtitle of host publication | 23rd ACM Conference on Virtual Reality Software and Technology |
| Publisher | Association for Computing Machinery |
| Volume | Part F131944 |
| ISBN (Electronic) | 9781450355483 |
| DOIs | |
| Publication status | Published - 2017 Nov 8 |
| Event | 23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 - Gothenburg, Sweden Duration: 2017 Nov 8 → 2017 Nov 10 |
Other
| Other | 23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 |
|---|---|
| Country | Sweden |
| City | Gothenburg |
| Period | 17/11/8 → 17/11/10 |
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Keywords
- Monocular IR camera
- Perspective-n-Point problem
- Position tracking
- Vision-based pose estimation
ASJC Scopus subject areas
- Software
Cite this
Outside-in monocular IR camera based HMD pose estimation via geometric optimization. / Savkin, Pavel A.; Saito, Shunsuke; Vansteenberge, Jarich; Fukusato, Tsukasa; Wilson, Lochlainn; Morishima, Shigeo.
Proceedings - VRST 2017: 23rd ACM Conference on Virtual Reality Software and Technology. Vol. Part F131944 Association for Computing Machinery, 2017. a7.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Outside-in monocular IR camera based HMD pose estimation via geometric optimization
AU - Savkin, Pavel A.
AU - Saito, Shunsuke
AU - Vansteenberge, Jarich
AU - Fukusato, Tsukasa
AU - Wilson, Lochlainn
AU - Morishima, Shigeo
PY - 2017/11/8
Y1 - 2017/11/8
N2 - 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.
AB - 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.
KW - Monocular IR camera
KW - Perspective-n-Point problem
KW - Position tracking
KW - Vision-based pose estimation
UR - http://www.scopus.com/inward/record.url?scp=85038598391&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85038598391&partnerID=8YFLogxK
U2 - 10.1145/3139131.3139136
DO - 10.1145/3139131.3139136
M3 - Conference contribution
AN - SCOPUS:85038598391
VL - Part F131944
BT - Proceedings - VRST 2017
PB - Association for Computing Machinery
ER -