Pavel A. Savkin, Shunke Saito, Jarich Vansteenberge, Tsulasa Fukusato, Lochlainn Wilson, Shigeo Morishima
Outside-in Monocular IR Camera based HMD Pose Estimation via Geometric Optimization
No. 7, DOI: 10.1145/3139131.3139136
Proceedings of the 23rd ACM Symposium on Visual Reality Software and Technology (VRST '17), Oral
Accurately tracking a Head Mounted Display (HMD) with a 6 degree of freedom is essential to achieve a confortable and a nausea free experience in Virtual Reality ngrinder agent 다운로드. Existing commercial HMD systems using synchronized Infrared (IR) camera and blinking IR-LEDs can achieve highly accurate tracking. However, most of the off-the-shelf cameras do not support frame synchronization 베놈 2018 다운로드. 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 유튜브 동영상 usb. In addition, we propose a novel system to increase robustness to the blurred IR-LEDs patterns appearing at high-velocity movements. The quantitative evaluations showed significant improvements in pose stability and accuracy over wide rotational movements as well as a decrease in runtime 우분투 미러.