A theory of self-calibration of a moving camera
International Journal of Computer Vision
Knowledge-based augmented reality
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Projective Reconstruction and Invariants from Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence - Special volume on computer vision
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Calibration-Free Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
Calibration-Free Augmented Reality in Perspective
IEEE Transactions on Visualization and Computer Graphics
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
Integrating 2-D video actors into 2-D augmented-reality systems
Presence: Teleoperators and Virtual Environments - Mixed reality
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
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
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 Natural Features for Augmented Reality Systems
IEEE Transactions on Visualization and Computer Graphics
A markerless registration method for augmented reality based on affine properties
AUIC '06 Proceedings of the 7th Australasian User interface conference - Volume 50
Registration based on online estimation of trifocal tensors using point and line correspondences
ICVR'07 Proceedings of the 2nd international conference on Virtual reality
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In AR systems, registration is one of the most difficult problems currently limiting their application. In this paper, we propose a simple registration method using projective reconstruction. This method consists of two steps: embedding and tracking. Embedding involves specifying four points to build the world coordinate system on which a virtual object will be superimposed. In tracking, a projective reconstruction technique is used to track these four specified points to compute the model view transformation for augmentation. This 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. In addition, it can be extended to a scenario using the projective matrix that has been obtained from previous registration results using the same AR system. The proposed method has three advantages: 1) It is fast because the linear least square method can be used to estimate the related matrix in the algorithm and it is not necessary to calculate the fundamental matrix in the extended case. 2) A virtual object can still be superimposed on a related area even if some parts of the specified area are occluded during the whole process. 3) This method is robust because it remains effective even when not all the reference points are detected during the whole process, as long as at least six pairs of related reference points correspondences can be found. Some experiments have been conducted to validate the performance of the proposed method.