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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hagbi, N. Bergig, O. El-Sana, J. Billinghurst, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: The Visual Media Lab, Ben-Gurion University, Israel (Hagbi, N.; Bergig, O.; El-Sana, J.) || The HIT Lab NZ, University of Canterbury, New Zealand (Billinghurst, M.) |
| Abstract | In this paper we present Nestor, a system for real-time recognition and camera pose estimation from planar shapes. The system allows shapes that carry contextual meanings for humans to be used as Augmented Reality (AR) tracking fiducials. The user can teach the system new shapes at runtime by showing them to the camera. The learned shapes are then maintained by the system in a shape library. Nestor performs shape recognition by analyzing contour structures and generating projective invariant signatures from their concavities. The concavities are further used to extract features for pose estimation and tracking. Pose refinement is carried out by minimizing the reprojection error between sample points on each image contour and its library counterpart. Sample points are matched by evolving an active contour in real time. Our experiments show that the system provides stable and accurate registration, and runs at interactive frame rates on a Nokia N95 mobile phone. |
| Starting Page | 65 |
| Ending Page | 71 |
| File Size | 6723035 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424453900 |
| DOI | 10.1109/ISMAR.2009.5336498 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Augmented reality Cameras Libraries Real time systems Humans Runtime Performance analysis Feature extraction Active contours shape dual perception In-Place Augmented Reality handheld AR shape recognition geometric projective invariance 3D pose estimation vision-based tracking free-hand sketching |
| Content Type | Text |
| Resource Type | Article |
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