A theory of self-calibration of a moving camera
International Journal of Computer Vision
Projective Reconstruction and Invariants from Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving static and dynamic registration in an optical see-through HMD
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Artificial Intelligence - Special volume on computer vision
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
A fast and robust line-based optical tracker for augmented reality applications
IWAR '98 Proceedings of the international workshop on Augmented reality : placing artificial objects in real scenes: placing artificial objects in real scenes
Calibration-Free Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
Calibration-Free Augmented Reality in Perspective
IEEE Transactions on Visualization and Computer Graphics
Dynamic Registration Correction in Video-Based Augmented Reality Systems
IEEE Computer Graphics and Applications
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Augmented Reality Camera Tracking with Homographies
IEEE Computer Graphics and Applications
Pose Estimation for Planar Structures
IEEE Computer Graphics and Applications
Presence: Teleoperators and Virtual Environments
Matrix: A Realtime Object Identification and Registration Method for Augmented Reality
APCHI '98 Proceedings of the Third Asian Pacific Computer and Human Interaction
VR '99 Proceedings of the IEEE Virtual Reality
Hybrid Inertial and Vision Tracking for Augmented Reality Registration
VR '99 Proceedings of the IEEE Virtual Reality
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
Estimating and Adapting to Registration Errors in Augmented Reality Systems
VR '02 Proceedings of the IEEE Virtual Reality Conference 2002
Dynamic registration correction in augmented-reality systems
VRAIS '95 Proceedings of the Virtual Reality Annual International Symposium (VRAIS'95)
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
An Adaptive Estimator for Registration in Augmented Reality
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
A Hybrid Registration Method for Outdoor Augmented Reality
ISAR '01 Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR'01)
Registration using projective reconstruction for augmented reality systems
VRCAI '04 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry
Natural feature tracking for augmented reality
IEEE Transactions on Multimedia
Advanced Engineering Informatics
Markerless augmented reality using a robust point transferring method
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
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In augmented reality systems, registration is one of the most difficult problems currently limiting their applications. In this paper, we propose a generalized registration method using projective reconstruction technique in computer vision. This registration method is composed of embedding and tracking. Embedding involves specifying four points to build the world coordinate system on which a virtual object will be superimposed. In this stage, any arbitrary two unrelated images or any 3x4 projective matrices with rank 3 can be used to calculate the 3D pseudo-projective coordinates of the four specified points. In the tracking process, these 3D pseudo-projective coordinates are used to track the four specified points to compute the registration matrix for augmentation. The proposed method is simple, as only four points need to be specified at the embedding stage, and the virtual object can then be easily augmented onto a real scene from a video sequence. One advantage is that the virtual objects can still be superimposed on the specified regions even when the regions are occluded in the video sequence. Another advantage of the proposed method is that the registration errors can be adjusted in real-time to ensure that they are less than certain thresholds that have been specified at the initial embedding stage. Several experiments have been conducted to validate the performance of the proposed generalized method.