A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
ARTag, a Fiducial Marker System Using Digital Techniques
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
Emerging Technologies of Augmented Reality
Emerging Technologies of Augmented Reality
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
Bokode: imperceptible visual tags for camera based interaction from a distance
ACM SIGGRAPH 2009 papers
Continuous natural user interface: Reducing the gap between real and digital world
ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
Fast Keypoint Recognition Using Random Ferns
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
The quadratic-chi histogram distance family
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
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Reading traditional newspapers or magazines is a common way to get latest information about events or new products. However these printed materials only provide readers with static information. Readers may want to know more detail information about some product in an article or to watch video clips related to an event mentioned in a news right at the moment when they read that article or news. The authors propose a system with mobile devices that can provide extra information and multimedia for readers by applying augmented reality to traditional magazines. A user can enjoy extra rich multimedia information on a product or news on his/her mobile device just by looking at an article in a traditional magazine through his/her mobile device. The system detects which article in which page of a magazine that is being displayed in a mobile device and provides a reader with related information and multimedia objects. The important feature of our proposed system is using lightweight filter to efficiently filter out candidate covers or articles that do not visually match an image captured by a mobile device. The experiment shows that our proposed system achieves the average accuracy of more than 90% and can process in the real-time manner.