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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yonemoto, S. |
| Copyright Year | 2012 |
| Abstract | In this paper, we present a video annotation tool using vision-based Augmented Reality (AR) technology. We apply AR technology and computer vision method for making videos with 3D annotations such as image textures, video clips, 3D objects and 3D text. A planar object is manually selected in the static scene, while it can be semi-automatically tracked in the dynamic scene. Tracking of the planar object is called marker-less tracking, which is often used in AR applications. When user selects a planar object in the real image, external camera parameters are estimated from 4 corner points of the planar object. As a marker-less tracking method, we use SURF feature based descriptors and the trackers. 3D annotation is rendered on the selected (or tracked) planar object. |
| Starting Page | 226 |
| Ending Page | 230 |
| File Size | 3002715 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467327367 |
| DOI | 10.1109/CW.2012.39 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-25 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Cameras Computer vision Image texture Streaming media Augmented reality marker-less tracking video annotation augmented reality computer vision |
| Content Type | Text |
| Resource Type | Article |
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