Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Sequential Updating of Projective and Affine Structure from Motion
International Journal of Computer Vision
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Situated Documentaries: Embedding Multimedia Presentations in the Real World
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on 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
Coarse, Inexpensive, Infrared Tracking for Wearable Computing
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
A Wearable Augmented Reality System Using Positioning Infrastructures and a Pedometer
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Scene Modelling, Recognition and Tracking with Invariant Image Features
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
High-Performance Wide-Area Optical Tracking: The HiBall Tracking System
Presence: Teleoperators and Virtual Environments
Natural feature tracking for augmented reality
IEEE Transactions on Multimedia
A vision-based AR registration method utilizing edges and vertices of 3D model
Proceedings of the 2005 international conference on Augmented tele-existence
Balancing Design Freedom and Constraints in Wall Posters Masquerading as AR Tracking Markers
VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
An initialization tool for installing visual markers in wearable augmented reality
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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Estimating camera position and posture can be applied to the fields of augmented reality and robot navigation. In these fields, to obtain absolute position and posture of the camera, sensor-based methods using GPS and magnetic sensors and vision-based methods using input images from the camera have been investigated. However, sensor-based methods are difficult to synchronize the camera and sensors accurately, and usable environments are limited according to selection of sensors. On the other hand, vision-based methods need to allocate many artificial markers otherwise an estimation error will accumulate. Thus, it is difficult to use such methods in large and natural environments. This paper proposes a vision-based camera position and posture estimation method for large environments, which does not require sensors and artificial markers by detecting natural feature points from image sequences taken beforehand and using them as landmarks.