Knowledge-based augmented reality
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Technologies for augmented reality systems: realizing ultrasound-guided needle biopsies
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Vision-Based Object Registration for Real-Time Image Overlay
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Matrix: A Realtime Object Identification and Registration Method for Augmented Reality
APCHI '98 Proceedings of the Third Asian Pacific Computer and Human Interaction
Accurate Image Overlay on Video See-Through HMDs Using Vision and Accelerometers
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
AR2 Hockey: A Case Study of Collaborative Augmented Reality
VRAIS '98 Proceedings of the Virtual Reality Annual International Symposium
An Augmented Reality System Using a Real-Time Vision Based Registration
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Visual mapping by a robot rover
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
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This paper proposes a method to extend a registration range of a vision-based augmented reality system. We propose to use natural feature points contained in images captured by a pair of stereo cameras in conjunction with pre-defined fixed fiducial markers. The system also incorporates an inertial sensor to achieve a robust registration method which can handle user's fast head rotation and movement. The system first uses pre-defined fiducial markers to estimate a projection matrix between real and virtual coordinate systems. At the same time, the system picks up and tracks a set of natural feature points from the initial image. As a user moves around in an AR environment, the initial markers fall out from the camera frame and natural features are then used to recover the projection matrix. Experiments evaluating the feasibility of the method are carried out and show the potential benefits of the method.