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CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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Marker-Less Tracking for Multi-layer Authoring in AR Books
ICEC '09 Proceedings of the 8th International Conference on Entertainment Computing
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Proceedings of the 2007 conference on Human interface: Part II
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Markerless visual tracking for augmented books
JVRC'09 Proceedings of the 15th Joint virtual reality Eurographics conference on Virtual Environments
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An augmented book is an application that augments virtual 3D objects to a real book via AR technology. For augmented books, some markerless methods have been proposed so far. However, they can only recognize one page at a time. This leads to restrictions on the utilization of augmented books. In this paper, we present a novel markerless tracking method capable of recognizing and tracking multiple pages in real-time. The proposed method builds on our previous work using the generic randomized forest (GRF). The previous work finds out one page in the entire image using the GRF, whereas the proposed method detects multiple pages by dividing an image into subregions, applying the GRF to each subregion and discovering spatial locality from the GRF results.