From 14e679762985eec716ed66ec0168e59e6d44734f Mon Sep 17 00:00:00 2001 From: "Allen Y., Yang" Date: Fri, 9 Jun 2023 20:17:59 -0700 Subject: [PATCH] Update README.md --- README.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 57c9a011..d4e12c84 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,8 @@ 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 @@ -138,7 +140,13 @@ If you have questions, concerns, bug reports, etc, please file an issue in this ## 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. ----