An Affine Invariant Interest Point Detector
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Matrix: A Realtime Object Identification and Registration Method for Augmented Reality
APCHI '98 Proceedings of the Third Asian Pacific Computer and Human Interaction
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Fusing Points and Lines for High Performance Tracking
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Cantag: an open source software toolkit for designing and deploying marker-based vision systems
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Virtual pop-up book based on augmented reality
Proceedings of the 2007 conference on Human interface: Part II
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Marker-Less Tracking for Multi-layer Authoring in AR Books
ICEC '09 Proceedings of the 8th International Conference on Entertainment Computing
An interactive bulletin board with mobile devices
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Augmented media for traditional magazines
Proceedings of the Third Symposium on Information and Communication Technology
Markerless visual tracking for augmented books
JVRC'09 Proceedings of the 15th Joint virtual reality Eurographics conference on Virtual Environments
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The augmented book is the system augmenting multimedia elements onto a book to bring additional education effects or amusement. A book includes many pages and many duplicated designs so that tracking a book is quite difficult. For the augmented book, we propose the hybrid visual tracking which merges the merits of two traditional approaches: fiducial marker tracking and markerless tracking. The new method does not cause visual discomfort and can stabilizes camera pose estimation in real-time.