Visual tracking of known three-dimensional objects
International Journal of Computer Vision
Artificial Intelligence - Special volume on computer vision
Superior augmented reality registration by integrating landmark tracking and magnetic tracking
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Vision-Based Object Registration for Real-Time Image Overlay
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Realtime Camera Calibration for Enhanced Reality Visualization
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Interactive augmented reality
A Two-Stage Robust Statistical Method for Temporal Registration from Features of Various Type
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Registration Based on Projective Reconstruction Technique for Augmented Reality Systems
IEEE Transactions on Visualization and Computer Graphics
Tracking points using projective reconstruction for augmented reality
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
A vision-based AR registration method utilizing edges and vertices of 3D model
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
Real-time view synthesis from a sparse set of views
Image Communication
Viewpoint determination of image by interpolation over sparse samples
Image and Vision Computing
Hybrid tracking algorithms for planar and non-planar structures subject to illumination changes
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Technical Section: A generalized registration method for augmented reality systems
Computers and Graphics
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
On-board and Ground Visual Pose Estimation Techniques for UAV Control
Journal of Intelligent and Robotic Systems
Design your room: adding virtual objects to a real indoor scenario
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Image sequence augmentation using planar structures
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Estimating 3d object coordinates from markerless scenes
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Viewpoint determination of image by interpolation over sparse samples
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Magnetic augmented reality: virtual objects in your space
Proceedings of the International Working Conference on Advanced Visual Interfaces
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
A Hierarchical Tracking Strategy for Vision-Based Applications On-Board UAVs
Journal of Intelligent and Robotic Systems
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Tracking, or camera pose determination, is the main technical challenge in creating augmented reality. This article describes an efficient and reliable method for real-time camera tracking. This method is based on the knowledge of a piecewise planar structure in the scene and requires neither markers nor sensors to recover the viewpoint. The system yields results comparable in accuracy with full structure-and-motion methods but with better reliability. Results are presented, demonstrating tracking for indoors and outdoor urban scenes.