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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Po Yang Wenyan Wu Moniri, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Staffordshire Univ., Stafford (Po Yang; Wenyan Wu; Moniri, M.) |
| Abstract | The key technological challenge to build effective augmented reality (AR) system is to maintain the accurate and robust tracking between real and computer-generated scene. Vision-based tracking technologies can use passive markers, but they are more computationally demanding and often exhibit erroneous behaviour due to occlusion or numerical instability. Active (sensor-emitter) tracking technologies require powered-device installation, limiting their use to prepared areas. Inertial sensors are completely passive without external devices or targets. However, the drift rates in portable strapdown configurations are too great to practical use. In this paper, we propose a novel camera tracking approach for AR that integrates inertial sensor in marker-based technologies. The complementary nature of these two technologies could compensate for the weakness in each component (marker partly missed). Some experimental results demonstrate the framework effectiveness. |
| Starting Page | 622 |
| Ending Page | 627 |
| File Size | 2130957 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424410754 |
| DOI | 10.1109/ICNSC.2007.372851 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Augmented reality Sensor systems Accelerometers Pixel Target tracking Robustness Gravity Computer networks Power engineering computing |
| Content Type | Text |
| Resource Type | Article |
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