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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Byungsung Lee Junchul Chun |
| Copyright Year | 2010 |
| Abstract | In this paper, we present a vision-based framework to manipulate the augmented reality (AR) objects robustly in a marker-less AR system. It is known that one of the promising ways to develop a marker-less AR system is using human’s body such as hand or face for replacing fiducial markers. This paper presents a real-time method to manipulate the AR objects dynamically in a developed 3D hand coordinate system. To build the marker-less system, we utilize YCbCr skin-color model for hand shape detection and curvature-based fingertip detection from an input video images. Using the detected fingertips the camera pose are estimated to register virtual objects on the hand coordinate system. In order to manipulate the movements of the virtual objects rendered on the marker-less AR system dynamically, a vision-based hand control interface, which utilizes pattern recognition for the hand command initiation, is developed. From the experiments we can prove that the proposed hand mouse can manipulate the objects in a feasible fashion. |
| Starting Page | 398 |
| Ending Page | 403 |
| File Size | 894538 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424462704 |
| e-ISBN | 9781424462711 |
| DOI | 10.1109/ITNG.2010.36 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Shape Biological system modeling Control systems augmented reality Face detection Augmented reality fingertip tracking camera pose estimation Object detection Cameras Rendering (computer graphics) Robustness hand segmentation |
| Content Type | Text |
| Resource Type | Article |
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