Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Archeoguide: An Augmented Reality Guide for Archaeological Sites
IEEE Computer Graphics and Applications
Hybrid Tracking for Outdoor Augmented Reality Applications
IEEE Computer Graphics and Applications
Archeoguide: An Augmented Reality Guide for Archaeological Sites
IEEE Computer Graphics and Applications
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Homography-based 2D Visual Tracking and Servoing
International Journal of Robotics Research
Implicit 3D modeling and tracking for anywhere augmentation
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
Going out: robust model-based tracking for outdoor augmented reality
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Video-rate localization in multiple maps for wearable augmented reality
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Multimodal reference resolution for mobile spatial interaction in urban environments
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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A hybrid tracking system, which integrates Computer Vision (CV), GPS and inertial sensing, is presented. It is designed for precise and jitter-free augmentation on feature-rich planar surfaces in outdoor urban environments. Two recently developed CV algorithms, namely keypoint signatures and Efficient Second-order Minimization, are central to achieving the precision and stability required. As CV tracking algorithms are not scalable to large environments and not completely robust, GPS and inertial sensing are used to define a limited search region to initialize CV tracking. The modifications of both CV algorithms for outdoor operations are presented, along with the design considerations for building the proposed hybrid tracker. Experimentation of the tracker and augmentation on real world surfaces are presented.