Calibration-Free Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
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
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
A practical guide to marker based and hybrid visual registration for AR industrial applications
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Top-down tracking and estimating 3d pose of a die
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
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A model registration system capable of tracking an object through distinct aspects in real-time is presented. The system integrates tracking, pose determination, and aspect graph indexing. The tracking combines steerable filters with normalized cross-correlation, compensates for rotation in 2D and is adaptive. Robust statistical methods are used in the pose estimation to detect and remove mismatches. The aspect graph is used to determine when features will disappear or become difficult to trade and to predict when and where new features will become trackable. The overall system is stable and is amenable to real-time performance.