A correct spatial registration of Optical See-Through Head-Mounted Displays (OST-HMD) w.r.t. a user’s eye(s) is an essential problem for any AR application using the such HMDs.
This toolbox aims to provide core functionalities of the OST-HMD calibration including eye localization-based methods and Direct Linear Transform, and to share the evaluation scheme we used for our experiments.
Requirements: MATLAB (with Statistics Toolbox)
At the root directory of this reporisory on your matlab console, just type,
>> mainthen you will see some calibration results like the following:
If you want to use the core functionality of this tool box for your own calibration, please consult the following function files:
>> % Functions that give you 3x4 projection matrix
>>
>> % Eye position-based calibration (Full/Recycle Setups)
>> % for Interaction-free Display CAlibration (INDICA) method.
>> P = INDICA_Full (R_WS, R_WT, t_WT, t_ET, t_WS, ax, ay, w, h);
>> P = INDICA_Recycle(R_WS, R_WT, t_WT, t_ET, t_WS_z, K_E0, t_WE0);
>>
>> % A basic Direct Linear Transform for SPAAM
>> P = DLT(uv,xyz); The figure below visualizes spatial relationship of each input arguments for INDICA:
Our code is tested on MATLAB(R) version 2013b, and might require some toolboxes.
Please refer to the following publication, which introduces the INDICA method:
@article{itoh2014-3dui
author = {Itoh, Yuta and Klinker, Gudrun},
title = {Interaction-Free Calibration for Optical See-Through
Head-Mounted Displays based on 3D Eye Localization},
booktitle = {{Proceedings of the 9th IEEE Symposium on 3D User Interfaces (3D UI)}},
month = {march},
pages = {75-82},
year = {2014}
}
Note that the evalation scheme in the code is different from the one used in the above paper. Following the change, a new dataset was acquired and is included in this repository.
This repository is provided under MIT license.