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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huijuan Zhang Chao Wu |
| Copyright Year | 2011 |
| Description | Author affiliation: Room 402, training building, School of software engineering, Tongji University, Shanghai, China (Chao Wu) || Room 450, training building, School of software engineering, Tongji University, Shanghai, China (Huijuan Zhang) |
| Abstract | The implementation of azimuth recognition technology for current mobile phone platform is mainly based on hardware (such as gyroscopes) and software (such as compass). Those related methods have shortcomings or limitations. This article proposes an improved algorithm based on SIFT to implement azimuth recognition. This method uses the camera to obtain image data, matching with the data in the information base. Meanwhile, this method combines with GPS and image processing technology. The experimental results show that the method is feasible. It also shows good performance in both accuracy and real-time. |
| Starting Page | 445 |
| Ending Page | 448 |
| File Size | 568798 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612847719 |
| e-ISBN | 9781612847740 |
| DOI | 10.1109/ICMT.2011.6002006 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Accuracy SIFT Azimuth Feature extraction Mobile handsets GPS Azimuth Recognition Global Positioning System |
| Content Type | Text |
| Resource Type | Article |
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