Continuous Automatic Calibration for Optical See-Through Displays
Kenneth R. Moser, Yuta Itoh, and J. Edward Swan II. Continuous Automatic Calibration for Optical See-Through Displays. In Short Papers and Posters, Proceedings of IEEE Virtual Reality 2015, pp. 241–242, March 2015. DOI: 10.1109/VR.2015.7223385.
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Abstract
The current advent of consumer level optical see-through (OST) head-mounted displays (HMDâs) has greatly broadened the accessibility of Augmented Reality (AR) to not only researchers but also the general public as well. This increased user base heightens the need for robust automatic calibration mechanisms suited for non- technical users. We are developing a fully automated calibration system for two stereo OST HMDâs, a consumer level and prototype model, based on the recently introduced interaction free display calibration (INDICA) method. Our current efforts are also focused on the development of an evaluation process to assess the performance of the system during use by non-expert subjects.
BibTeX
@InProceedings{IEEEVR15-cac,
author = {Kenneth R. Moser and Yuta Itoh and J. Edward {Swan~II}},
title = {Continuous Automatic Calibration for Optical See-Through
Displays},
booktitle = {Short Papers and Posters, Proceedings of IEEE Virtual Reality 2015},
location = {Arles, Provence, France},
date = {March 23--27},
month = {March},
year = 2015,
pages = {241--242},
note = {DOI: <a target="_blank"
href="https://doi.org/10.1109/VR.2015.7223385">10.1109/VR.2015.7223385</a>.},
abstract = {
The current advent of consumer level optical see-through (OST)
head-mounted displays (HMDâs) has greatly broadened the accessibility
of Augmented Reality (AR) to not only researchers but also the general
public as well. This increased user base heightens the need for robust
automatic calibration mechanisms suited for non- technical users. We
are developing a fully automated calibration system for two stereo OST
HMDâs, a consumer level and prototype model, based on the recently
introduced interaction free display calibration (INDICA) method. Our
current efforts are also focused on the development of an evaluation
process to assess the performance of the system during use by
non-expert subjects.
},
}