Invariants of Six Points and Projective Reconstruction From Three Uncalibrated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Calibration-Free Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Augmented Reality Using Uncalibrated Video Sequences
SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Hand Tracking for Interactive Pattern-Based Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Online 6 DOF Augmented Reality Registration from Natural Features
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Preemptive RANSAC for Live Structure and Motion Estimation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
VHS to VRML: 3D Graphical Models from Video Sequences
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Trifocal motion modeling for object-based video compression and manipulation
IEEE Transactions on Circuits and Systems for Video Technology
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
IEEE Transactions on Multimedia
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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We propose a method to augment live video based on the tracking of natural features, and the online estimation of the trinocular geometry. Previous without-marker approaches require the computation of camera pose to render virtual objects. The strength of our proposed method is that it doesn't require tracking of camera pose, and exploits the usual advantages of marker-based approaches for a fast implementation. A 3-view AR system is used to demonstrate our approach. It consists of an uncalibrated camera that moves freely inside the scene of interest, and of three reference frames taken at the time of system initialization. As the camera is moving, image features taken from an initial triplet set are tracked throughout the video sequence. And the trifocal tensor associated with each frame is estimated online. With this tensor, the square pattern that was visible in the reference frames is transferred to the video. This invisible pattern is then used by the ARToolkit to embed virtual objects.