A real-time tracker for markerless augmented reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Fully Automated and Stable Registration for Augmented Reality Applications
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Stable Real-Time 3D Tracking Using Online and Offline Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Initialization for Marker-Less Tracking: A Sensor Fusion Approach
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Scene Modelling, Recognition and Tracking with Invariant Image Features
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Outdoor See-Through Vision Utilizing Surveillance Cameras
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Online Estimation of Trifocal Tensors for Augmenting Live Video
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Invisible Marker Tracking for AR
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Outdoor augmented reality gaming on five dollars a day
AUIC '05 Proceedings of the Sixth Australasian conference on User interface - Volume 40
Real-Time Camera Tracking for Mobile Devices: The VisiTrack System
Real-Time Systems
Real-Time Markerless Tracking for Augmented Reality: The Virtual Visual Servoing Framework
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
Proceedings of the 2005 international conference on Augmented tele-existence
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
Visually Elegant and Robust Semi-Fiducials for Geometric Registration in Mixed Reality
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Multiple planes based registration using 3D Projective Space for Augmented Reality
Image and Vision Computing
SVR-Based Jitter Reduction for Markerless Augmented Reality
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Enabling beyond-surface interactions for interactive surface with an invisible projection
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Markerless augmented reality using a robust point transferring method
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
AR baseball presentation system with integrating multiple planar markers
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Markerless pose tracking for augmented reality
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Vision-Based registration for augmented reality with integration of arbitrary multiple planes
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Heritage pieces integration in autonomous augmented reality systems: key problems and solutions
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
Markerless tracking algorithm based on 3d model for augmented reality system
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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We present a complete scalable system for 6 d.o.f. camera tracking based on natural features. Crucially, the calculation is based only on pre-captured reference images and previous estimates of the camera pose and is hence suitable for online applications. We match natural features in the current frame to two spatially separated reference images. We overcome the wide baseline matching problem by matching to the previous frame and transferring point positions to the reference images. We then minimize deviations from thetwo-view and three-view constraints between the reference images and the current frame as a function of the camera position parameters. We stabilize this calculation using a recursive form of temporal regularization that is similar in spirit to the Kalman filter. We can track camera pose over hundreds of frames and realistically integrate virtual objects with only slight jitter.