The MagicBook—Moving Seamlessly between Reality and Virtuality
IEEE Computer Graphics and Applications
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Stable Real-Time 3D Tracking Using Online and Offline Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Randomized Trees for Real-Time Keypoint Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Fusing Points and Lines for High Performance Tracking
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Hybrid Visual Tracking for Augmented Books
ICEC '08 Proceedings of the 7th International Conference on Entertainment Computing
An all-in-one solution to geometric and photometric calibration
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
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
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Virtual pop-up book based on augmented reality
Proceedings of the 2007 conference on Human interface: Part II
Multi-layer Based Authoring Tool for Digilog Book
ICEC '09 Proceedings of the 8th International Conference on Entertainment Computing
Multiple page recognition and tracking for augmented books
ICEC'10 Proceedings of the 9th international conference on Entertainment computing
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An Augmented Reality (AR) book is an application that applies AR technologies to physical books for providing a new experience to users. In this paper, we propose a new marker-less tracking method for the AR book. The main goal of the tracker is not only to recognize many pages, but also to compute 6 DOF camera pose. As a result, we can augment different virtual contents according to the corresponding page. For this purpose, we use a multi-core programming approach that separates the page recognition module from the tracking module. In the page recognition module, highly distinctive Scale Invariant Features Transform (SIFT) features are used. In the tracking module, a coarse-to-fine approach is exploited for fast frame-to-frame matching. Our tracker provides more than 30 frames per second. In addition to the tracker, we explain multi-layer based data structure for maintaining the AR book. A GUI-based authoring tool is also shown to validate feasibility of the tracker and data structures. The proposed algorithm would be helpful to create various AR applications that require multiple planes tracking.