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OpenARK is an open-source wearable augmented reality (AR) system founded at UC Berkeley in 2016. The C++ based software offers innovative core functionalities to power a wide range of off-the-shelf AR components, including see-through glasses, depth cameras, and IMUs. The open-source platform includes higher-level modules to aid human-computer interaction, such as 3D gesture recognition, plane detection, avatar/pose tracking, and multi-user collaboration, and also contains fundamental tools such as AR-based camera calibration, depth-to-stereo, and SLAM, and 3D Reconstruction. Currently, it supports both PMD Pico Flexx and Intel RealSense SR300 cameras. The project builds natively on both Windows and Linux.

* Please also visit our companion project, Digital Twin Tracking Dataset (DTTD v.1): https://github.com/augcog/DTTDv1

#### At a Glance,

- **Technology stack**: C++, OpenCV, PCL, Boost, Intel RealSense SDK (1 or 2) / PMD SDK
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## Getting involved

The Center for Augmented Cognition welcomes interested industry partners to join our alliance to support the OpenARK platform. More information can be found on cac.berkeley.edu
The Center for Augmented Cognition welcomes interested industry partners to join our alliance to support the OpenARK platform. More information can be found on vivecenter.berkeley.edu

## Publications

- W. Feng, S. Zhao, C. Pan, A. Chang, Y. Chen, A. Yang. Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications. CVPR Workshop, 2023.
- J. Menke, A. Yang. Graduated Assignment Graph Matching for Realtime Matching of Image Wireframes. IROS, 2020.
- B. Zhou, A. Yu, J. Menke, A. Yang. Real-Time Hand Model Estimation from Depth Images for Wearable Augmented REality Glasses. ISMAR, 2019.

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