@inproceedings{406a17aa4b9b4ff0a4ae05436d6cb247,
title = "A modular calibration framework for 3D interaction system based on optical see-through head-mounted displays in augmented reality",
abstract = "With the rapid development of Virtual and Augmented Reality systems, it becomes more and more important to develop an efficient calibration method for optical see-Through head-mounted displays (OST-HMDs). In this paper, a modular calibration framework with two calibration phases is proposed. In the first phase, an eye-involved equivalent camera model is proposed in order to compute the spatial position of the human eye directly, in the second phase, the gesture information is integrated to the system with a depth camera. In addition, a fast correction algorithm is introduced to ensure that the calibration result work for new users without additional complex recalibration procedures. The precision of the proposed modular calibration and optimization method is evaluated, and the result shows that the proposed method can simplify the recalibration procedures for OST-HMDs.",
keywords = "Augmented reality, Calibration, Interaction, OST-HMD, Optimization",
author = "Zhenliang Zhang and Dongdong Weng and Yue Liu and Yongtian Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th International Conference on Virtual Reality and Visualization, ICVRV 2016 ; Conference date: 24-09-2016 Through 26-09-2016",
year = "2017",
month = jun,
day = "1",
doi = "10.1109/ICVRV.2016.72",
language = "English",
series = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "393--400",
editor = "Dandan Ding and Dangxiao Wang and Jian Chen and Xun Luo",
booktitle = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
address = "United States",
}