This project contains the source code for tracking passive IR sphere markers using only the HoloLens 2 AHAT Sensor.
- Easy-to-use tracking of retro-reflective marker arrays using the HoloLens 2 research mode
- Simultaneous tracking of multiple markers (tested with up to 5, can theoretically support a lot more)
- Support for partial marker occlusion - define marker arrays with 4 or more fiducials, keep tracking even when some are occluded (min. 3 visible at all times)
- Support for spherical markers and flat marker stickers
- Support for different marker types and sphere diameters to be tracked simultaneously
- Filter 3D fiducial world positions using Kalman Filters
- Filter marker array world position and rotation using low-pass filtering
Check out the Unity Sample application provided here: https://github.com/andreaskeller96/HoloLens2-IRTracking-Sample/
- Add zlib, libtiff, opencv412d to the project before compilation
- Compile for ARM64 in release mode
- Copy the resulting HL2IRToolTracking.winmd and HL2IRToolTracking.dll to your Unity Project's Assets/.../Plugins/WSA/ARM64/ folder
- Copy the contents of the UnityBindings folder to your Unity Project's Assets/.../Scripts folder
- Setup scene as in the sample here: https://github.com/andreaskeller96/HoloLens2-IRTracking-Sample/
Special thanks to Wenhao Gu for his hololens plugin project that this dll is based on: https://github.com/petergu684/HoloLens2-ResearchMode-Unity This project also makes use of a number of awesome open source libraries, including:
If you use this project, please cite the following BibTeX entries:
@misc{keller2023hl2irtracking,
author = {Andreas Keller},
title = {HoloLens 2 Infrared Retro-Reflector Tracking},
howpublished = {\url{https://github.com/andreaskeller96/HoloLens2-IRTracking}},
year = {2023}
}
A. Keller, HoloLens 2 Infrared Retro-Reflector Tracking. https://github.com/andreaskeller96/HoloLens2-IRTracking, 2023. [Online]. Available: https://github.com/andreaskeller96/HoloLens2-IRTracking
@ARTICLE{10021890,
author={Martin-Gomez, Alejandro and Li, Haowei and Song, Tianyu and Yang, Sheng and Wang, Guangzhi and Ding, Hui and Navab, Nassir and Zhao, Zhe and Armand, Mehran},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={STTAR: Surgical Tool Tracking using Off-the-Shelf Augmented Reality Head-Mounted Displays},
year={2023},
volume={},
number={},
pages={1-16},
doi={10.1109/TVCG.2023.3238309}}
A. Martin-Gomez et al., “STTAR: Surgical Tool Tracking using Off-the-Shelf Augmented Reality Head-Mounted Displays,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–16, 2023, doi: 10.1109/TVCG.2023.3238309.