Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Augmented Reality through Real-Time Tracking of Video Sequences Using a Panoramic View
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Robust Pose Estimation from a Planar Target
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
An Evaluation Methodology for Image Mosaicing Algorithms
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
SVR-Based Jitter Reduction for Markerless Augmented Reality
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
| Hi-index | 0.00 |
Augmented reality is a powerful tool for delivering spatially coherent information to a user moving in a known environment. Accurate and reliable pose estimation is the key to success. Many approaches track reference objects into the scene but as the environment grows larger more objects need to be tracked leading to computationally intensive methods. Instead, we propose a practical approach that is suitable for environment where big planar structures are present. All the objects laying on the structure are composed into a large reference object using image mosaicing techniques, so that the problem is reduced to that of finding the pose from a single plane. Experimental results show the effectiveness of this approach on two interesting case studies such as aeronautical servicing and cultural heritage.