Matching with PROSAC " Progressive Sample Consensus
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
Robust Pose Estimation from a Planar Target
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
The leiden augmented reality system (LARS)
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Paper interfaces for learning geometry
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
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This paper proposes the postcard system which recognizes a card using a camera within a device (PC/Smart TV/Tablet PC) and augments the video of the sender fit to the card size. The postcards or the picture cards used in our work are trained in advance. The proposed system consists of two parts, the video management module and the augmented reality module. The video management module manages playable videos and makes ID as a link between the video and the card. The augmented reality module recognizes the postcard or the picture card using the trained data which is mentioned above and estimates ID of the card and also its three-dimensional position. The ID is sent to the video management module to get the video according to the ID of the card. After that, the augmented reality module synthesizes the video to the three-dimensional position of the card. As a result, the sender shows the video to the receiver fit to the card. All process in the proposed paper is performed in real-time.