A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
ARTag, a Fiducial Marker System Using Digital Techniques
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handy AR: Markerless Inspection of Augmented Reality Objects Using Fingertip Tracking
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
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We introduce a technique to establish a coordinate system for augmented reality (AR) on tabletop environments. A user's hand is tracked and the fingertips on the outstretched hand are detected, providing a camera pose estimation relative to the hand. As a user places the hand on the surface of a tabletop environment, the hand's coordinate system is propagated to the environment, detecting distinctive image features in the scene. The features are tracked fast and robustly using optical flow. In this way, a new tabletop AR environment is set up without having to carry a marker or a sophisticated tracking system to the environment itself. We also demonstrate a proof-of-concept application for establishing a tabletop AR environment and recognizing a scene when detecting its features.