An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
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
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Locality-sensitive hashing scheme based on p-stable distributions
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
ICAT '07 Proceedings of the 17th International Conference on Artificial Reality and Telexistence
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Accuracy Improvement and Objective Evaluation of Annotation Extraction from Printed Documents
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Pose tracking from natural features on mobile phones
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Real-Time Retrieval for Images of Documents in Various Languages Using a Web Camera
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Augmenting text document by on-line learning of local arrangement of keypoints
ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
Point matching as a classification problem for fast and robust object pose estimation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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We propose a system that registers and retrieves text documents to annotate them on-line. The user registers a text document captured from a nearly top view and adds virtual annotations. When the user thereafter captures the document again, the system retrieves and displays the appropriate annotations, in real-time and at the correct location. Registering and deleting documents is done by user interaction. Our approach relies on LLAH, a hashing based method for document image retrieval. At the on-line registering stage, our system extracts keypoints from the input image and stores their descriptors computed from their neighbors. After registration, our system can quickly find the stored document corresponding to an input view by matching keypoints. From the matches, our system estimates the geometrical relationship between the camera and the document for accurately overlaying the annotations. In the experimental results, we show that our system can achieve on-line and real-time performances.