Intelligent Image Processing
EyeTap technology for wireless electronic news gathering
ACM SIGMOBILE Mobile Computing and Communications Review
Presence: Teleoperators and Virtual Environments - Mixed reality
Hybrid Inertial and Vision Tracking for Augmented Reality Registration
VR '99 Proceedings of the IEEE Virtual Reality
Accurate Image Overlay on Video See-Through HMDs Using Vision and Accelerometers
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
Fusion of Vision and Gyro Tracking for Robust Augmented Reality Registration
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
High-Performance Wide-Area Optical Tracking: The HiBall Tracking System
Presence: Teleoperators and Virtual Environments
Use of telepresence in informal broadcasting over the internet
Proceedings of the 2004 ACM SIGMM workshop on Effective telepresence
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In this paper we present a computationally economical method of recovering the projective motion of head mounted cameras or EyeTap devices, for use in wearable computer-mediated reality. The tracking system combines featureless vision and inertial methods in a closed loop system to achieve accurate robust head tracking using inexpensive sensors. The combination of inertial and vision techniques provides the high accuracy visual registration needed for fitting computer graphics onto real images and the robustness to large interframe camera motion due to fast head rotations. Operating on a 1.2 GHz Pentium III wearable computer with graphics accelerated hardware, the system is able to register live video images with less than 2 pixels of error (0.3 degrees) at 12 frames per second. Fast image registration is achieved by offloading computer vision computation onto the graphics hardware, which is readily available on many wearable computer systems. As an application of this tracking approach, we present a system which allows wearable computer users to share views of their current environments that have been stabilised to another viewer's head position.